GitHub C# Weekly Trending

huynhsontung/Screenbox

LibVLC-based media player for the Universal Windows Platform

Screenbox

The modern media player for Windows

Screenbox is a modern video player that cares about performance and ease of use on a wide range of device types. It features a beautiful, friendly user interface that is fast and lightweight. Screenbox is available on Windows 10 version 1903 and up, Windows 11, and Xbox consoles.

Screenbox is built on top of LibVLCSharp and the Universal Windows Platform (UWP).

Some notable features:

Fluent design user interface
Gesture support for seeking and changing volume
Window resize hotkeys (number row 1-4)
YouTube-inspired hotkey layout
Picture-in-picture mode
Save the video frame as an image
Chromecast support
Browse and play media over the network

And many more on the way!

Install

The recommended way to install Screenbox is through the Microsoft Store. Installing through the store ensures the app stays up to date automatically. You don't need a Microsoft account to download apps from the store. The app can also be installed through winget using the following command.

winget install screenbox -s winget

Contribute

Feel free to open an issue if you want to report a bug, give feedback, or ask a question. PRs are very welcome!

For Contributors

📖 Contributing Guide - Complete guide for new contributors
🏗️ Project Structure - Detailed codebase architecture overview

Quick Start for Developers

Prerequisites: Visual Studio 2022 with UWP development workload
Clone: git clone https://github.com/huynhsontung/Screenbox.git
Build: Open Screenbox.sln and build the solution (Ctrl+Shift+B)
Run: Set platform to x64 and start debugging (F5)

See the Contributing Guide for detailed setup instructions.

Translation

Help translate the app to your language on Crowdin! Crowdin offers an intuitive UX for you to get started and is the recommended tool for localization. Translations are automatically synced to GitHub and published in the next minor update.

You can also translate the app locally without Crowdin. The project source language is English, United States. All localizable source files are in the Screenbox\Strings\en-US directory. Localizable file types are .resw and .md.

Make sure you have your translations in the appropriate folder under the Screenbox\Strings directory. We use a IETF language tag to name the folder that contains resources for that language (e.g. fr-FR for French (France), es-ES for Spanish (Spain)). Files in these folders are translated copies of the original resource files in Screenbox\Strings\en-US.

A typical workflow for translating resources:

Fork and clone this repo.
Create a folder for your language under Screenbox\Strings if there isn't one already.
Copy over any missing files from the en-US folder.
Translate the .resw and .md files in the directory.
Once you're done, commit your changes, push to GitHub, and make a pull request.

files-community/Files

A modern file manager that helps users organize their files and folders.

Files is a modern file manager that helps users organize their files and folders. Our mission with Files is to build the best file manager for Windows, and we’re proud to be building it out in the open so everyone can participate. User feedback helps shape the features we work on, & the bug reports on GitHub help to make Files more reliable. Built and maintained by the open-source community, Files features robust multitasking experiences, file tags, deep integrations, and an intuitive design.

Installing and running Files

Files is a community-driven project that depends on your support to grow and improve. Please consider purchasing Files through the Microsoft Store or supporting us on GitHub if you use the classic installer.

You can also use the preview version alongside the stable release to get early access to new features and improvements.

Building from source

Instructions for building the source code can be found on our documentation site.

Contributing to Files

Want to contribute to this project? Let us know with an issue that communicates your intent to create a pull request. Also, view our contributing guidelines to make sure you're up to date on the coding conventions.

Looking for a place to start? Check out the task board, where you can sort tasks by size and priority.

Screenshots

DevToys-app/DevToys

A Swiss Army knife for developers.

DevToys

A Swiss Army knife for developers.

Introduction

DevToys helps with daily development tasks by offering a bundle of tiny tools designed to do quick, specific tiny tasks. No need to use many untrustworthy websites to simply decode a text or compress an image. With Smart Detection, the app intuitively selects the best tool for the data on your clipboard.

DevToys 2.0 comes with 30 default tools:

Converters: JSON <> YAML, Date, Number bases...
Encoders/Decoders: HTML, URLs, Base64, GZip, JWT, QR Code...
Formatters: JSON, SQL, XML...
Generators: Hash & Checksum, Lorem Ipsum, Password...
Graphics Tools: Color Blindness Simulator, PNG/JPEG Compressor...
Testers: JSONPath, RegEx, XML...
Text Utilities: Markdown Preview, Text Comparer, Analyzer & Utilities...

More tools are available through extensions, and you can develop your own.

Rate on Microsoft Store as of 5/7/2024

Contribute

See CONTRIBUTING

Privacy Policy

See PRIVACY POLICY

Third-Party Softwares

See ThirdPartyNotices

License

See LICENSE

Special Thanks

Code contributors

Designers

Zee-Al-Eid Jakub

DevToysMac developer

ObuchiYuki

CoplayDev/unity-mcp

Unity MCP acts as a bridge, allowing AI assistants (like Claude, Cursor) to interact directly with your Unity Editor via a local MCP (Model Context Protocol) Client. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

English	简体中文

Proudly sponsored and maintained by Coplay -- the best AI assistant for Unity.

And don't miss Godot AI 🤖, the new free MCP/AI project from the makers of MCP for Unity!

Create your Unity apps with LLMs! MCP for Unity bridges AI assistants (Claude, Claude Code, Cursor, VS Code, etc.) with your Unity Editor via the Model Context Protocol. Give your LLM the tools to manage assets, control scenes, edit scripts, and automate tasks.

Recent Updates

v9.6.3 (beta) — New manage_profiler tool (14 actions): Profiler session control (start/stop/status/set areas), frame timing and counter reads, object memory queries, memory snapshots (take/list/compare via com.unity.memoryprofiler), and Frame Debugger (enable/disable/get events). Group: profiling.
v9.6.2 — New manage_physics tool (21 actions): physics settings, layer collision matrix, physics materials, joints (5 3D + 9 2D types), queries (raycast, raycast_all, linecast, shapecast, overlap), force application (AddForce/AddTorque/AddExplosionForce), rigidbody configuration, scene-wide validation, and edit-mode simulation. Full 3D and 2D support.
v9.6.1 — QoL extensions: manage_editor gains undo/redo actions. manage_scene gains multi-scene editing (additive load, close, set active, move GO between scenes), scene templates (3d_basic, 2d_basic, etc.), and scene validation with auto-repair. New manage_build tool: trigger player builds, switch platforms, configure player settings, manage build scenes and profiles (Unity 6+), run batch builds across multiple platforms, and async job tracking with polling. New MaxPollSeconds infrastructure for long-running tool operations.
v9.5.4 — New unity_reflect and unity_docs tools for API verification: inspect live C# APIs via reflection and fetch official Unity documentation (ScriptReference, Manual, package docs). New manage_packages tool: install, remove, search, and manage Unity packages and scoped registries. Includes input validation, dependency checks on removal, and git URL warnings.
v9.5.3 — New manage_graphics tool (33 actions): volume/post-processing, light baking, rendering stats, pipeline settings, URP renderer features. 3 new resources: volumes, rendering_stats, renderer_features.
v9.5.2 — New manage_camera tool with Cinemachine support (presets, priority, noise, blending, extensions), cameras resource, priority persistence fix via SerializedProperty.

Older releases

v9.4.8 — New editor UI, real-time tool toggling via manage_tools, skill sync window, multi-view screenshot, one-click Roslyn installer, Qwen Code & Gemini CLI clients, ProBuilder mesh editing via manage_probuilder.
v9.4.7 — Per-call Unity instance routing, macOS pyenv PATH fix, domain reload resilience for script tools.
v9.4.6 — New manage_animation tool, Cline client support, stale connection detection, tool state persistence across reloads.
v9.4.4 — Configurable batch_execute limits, tool filtering by session state, IPv6/IPv4 loopback fixes.

Quick Start

Prerequisites

Unity 2021.3 LTS+ — Download Unity
Python 3.10+ and uv — Install uv
An MCP Client — Claude Desktop | Claude Code | Cursor | VS Code Copilot | GitHub Copilot CLI | OpenClaw

1. Install the Unity Package

In Unity: Window > Package Manager > + > Add package from git URL...

Tip

https://github.com/CoplayDev/unity-mcp.git?path=/MCPForUnity#main

Want the latest beta? Use the beta branch:

https://github.com/CoplayDev/unity-mcp.git?path=/MCPForUnity#beta

Other install options (Asset Store, OpenUPM)

Unity Asset Store:

Visit MCP for Unity on the Asset Store
Click Add to My Assets, then import via Window > Package Manager

OpenUPM:

openupm add com.coplaydev.unity-mcp

2. Start the Server & Connect

In Unity: Window > MCP for Unity
Click Start Server (launches HTTP server on localhost:8080)
Select your MCP Client from the dropdown and click Configure
Look for 🟢 "Connected ✓"
Connect your client: Some clients (Cursor, Antigravity, OpenClaw) require enabling an MCP toggle or plugin in settings. OpenClaw also needs the openclaw-mcp-bridge plugin enabled and follows the currently selected MCP for Unity transport (HTTP or stdio). Others (Claude Desktop, Claude Code) auto-connect after configuration.

That's it! Try a prompt like: "Create a red, blue and yellow cube" or "Build a simple player controller"

Features & Tools

Key Features

Natural Language Control — Instruct your LLM to perform Unity tasks
Powerful Tools — Manage assets, scenes, materials, scripts, and editor functions
Automation — Automate repetitive Unity workflows
Extensible — Works with various MCP Clients

Available Tools

apply_text_edits • batch_execute • create_script • debug_request_context • delete_script • execute_custom_tool • execute_menu_item • find_gameobjects • find_in_file • get_sha • get_test_job • manage_animation • manage_asset • manage_build • manage_camera • manage_components • manage_editor • manage_gameobject • manage_graphics • manage_material • manage_packages • manage_physics • manage_prefabs • manage_probuilder • manage_profiler • manage_scene • manage_script • manage_script_capabilities • manage_scriptable_object • manage_shader • manage_texture • manage_tools • manage_ui • manage_vfx • read_console • refresh_unity • run_tests • script_apply_edits • set_active_instance • unity_docs • unity_reflect • validate_script

Available Resources

cameras • custom_tools • renderer_features • rendering_stats • volumes • editor_active_tool • editor_prefab_stage • editor_selection • editor_state • editor_windows • gameobject • gameobject_api • gameobject_component • gameobject_components • get_tests • get_tests_for_mode • menu_items • prefab_api • prefab_hierarchy • prefab_info • project_info • project_layers • project_tags • tool_groups • unity_instances

Performance Tip: Use batch_execute for multiple operations — it's 10-100x faster than individual calls!

Manual Configuration

If auto-setup doesn't work, add this to your MCP client's config file:

HTTP (default — works with Claude Desktop, Cursor, Windsurf):

{
  "mcpServers": {
    "unityMCP": {
      "url": "http://localhost:8080/mcp"
    }
  }
}

VS Code:

{
  "servers": {
    "unityMCP": {
      "type": "http",
      "url": "http://localhost:8080/mcp"
    }
  }
}

Stdio configuration (uvx)

macOS/Linux:

{
  "mcpServers": {
    "unityMCP": {
      "command": "uvx",
      "args": ["--from", "mcpforunityserver", "mcp-for-unity", "--transport", "stdio"]
    }
  }
}

Windows:

{
  "mcpServers": {
    "unityMCP": {
      "command": "C:/Users/YOUR_USERNAME/AppData/Local/Microsoft/WinGet/Links/uvx.exe",
      "args": ["--from", "mcpforunityserver", "mcp-for-unity", "--transport", "stdio"]
    }
  }
}

Multiple Unity Instances

MCP for Unity supports multiple Unity Editor instances. To target a specific one:

Ask your LLM to check the unity_instances resource
Use set_active_instance with the Name@hash (e.g., MyProject@abc123)
All subsequent tools route to that instance

Roslyn Script Validation (Advanced)

For Strict validation that catches undefined namespaces, types, and methods:

Install NuGetForUnity
Window > NuGet Package Manager → Install Microsoft.CodeAnalysis v5.0
Also install SQLitePCLRaw.core and SQLitePCLRaw.bundle_e_sqlite3 v3.0.2
Add USE_ROSLYN to Player Settings > Scripting Define Symbols
Restart Unity

One-click installer (recommended)

Open Window > MCP for Unity, scroll to the Runtime Code Execution (Roslyn) section in the Scripts/Validation tab, and click Install Roslyn DLLs. This downloads the required NuGet packages and places the DLLs in Assets/Plugins/Roslyn/ automatically.

You can also run it from the menu: Window > MCP For Unity > Install Roslyn DLLs.

Manual DLL installation (if the installer isn't available)

Download Microsoft.CodeAnalysis.CSharp.dll and dependencies from NuGet
Place DLLs in Assets/Plugins/Roslyn/ folder
Ensure .NET compatibility settings are correct
Add USE_ROSLYN to Scripting Define Symbols
Restart Unity

Troubleshooting

Unity Bridge Not Connecting: Check Window > MCP for Unity status, restart Unity
Server Not Starting: Verify uv --version works, check the terminal for errors
Client Not Connecting: Ensure the HTTP server is running and the URL matches your config

Detailed setup guides:

Fix Unity MCP and Cursor, VSCode & Windsurf — uv/Python installation, PATH issues
Fix Unity MCP and Claude Code — Claude CLI installation
Common Setup Problems — macOS dyld errors, FAQ

Still stuck? Open an Issue or Join Discord

Contributing

See README-DEV.md for development setup. For custom tools, see CUSTOM_TOOLS.md.

Fork → Create issue → Branch (feature/your-idea) → Make changes → PR

Telemetry & Privacy

Anonymous, privacy-focused telemetry (no code, no project names, no personal data). Opt out with DISABLE_TELEMETRY=true. See TELEMETRY.md.

Security

Network defaults are intentionally fail-closed:

HTTP Local allows loopback-only hosts by default (127.0.0.1, localhost, ::1).
Bind-all interfaces (0.0.0.0, ::) require explicit opt-in in Advanced Settings via Allow LAN Bind (HTTP Local).
HTTP Remote requires https:// by default.
Plaintext http:// for remote endpoints requires explicit opt-in via Allow Insecure Remote HTTP.

License: MIT — See LICENSE | Need help? Discord | Issues

Star History

Citation for Research

If you are working on research that is related to Unity-MCP, please cite us!

@inproceedings{10.1145/3757376.3771417,
author = {Wu, Shutong and Barnett, Justin P.},
title = {MCP-Unity: Protocol-Driven Framework for Interactive 3D Authoring},
year = {2025},
isbn = {9798400721366},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3757376.3771417},
doi = {10.1145/3757376.3771417},
series = {SA Technical Communications '25}
}

Unity AI Tools by Coplay

Coplay offers 3 AI tools for Unity:

MCP for Unity is available freely under the MIT license.
Coplay is a premium Unity AI assistant that sits within Unity and is more than the MCP for Unity.
Coplay MCP a free-for-now MCP for Coplay tools.

(These tools have different tech stacks. See this blog post comparing Coplay to MCP for Unity.)

Disclaimer

This project is a free and open-source tool for the Unity Editor, and is not affiliated with Unity Technologies.

2dust/v2rayN

A GUI client for Windows, Linux and macOS, support Xray and sing-box and others

v2rayN

A GUI client for Windows, Linux and macOS, support Xray and sing-box and others

How to use

Read the Wiki for details.

Telegram Channel

github_2dust

microsoft/semantic-kernel

Integrate cutting-edge LLM technology quickly and easily into your apps

Semantic Kernel

Important

Semantic Kernel is now Microsoft Agent Framework! Microsoft Agent Framework (MAF) is the enterprise‑ready successor to Semantic Kernel. Microsoft Agent Framework is now available at version 1.0 as a production-ready release: stable APIs, and a commitment to long-term support. Whether you're building a single assistant or orchestrating a fleet of specialized agents, Microsoft Agent Framework 1.0 gives you enterprise-grade multi-agent orchestration, multi-provider model support, and cross-runtime interoperability via A2A and MCP.

Learn more about Semantic Kernel and Agent Framework here: Semantic Kernel and Microsoft Agent Framework on the Agent Framework blog, and try out the Semantic Kernel migration guide.

Build intelligent AI agents and multi-agent systems with this enterprise-ready orchestration framework

What is Semantic Kernel?

Semantic Kernel is a model-agnostic SDK that empowers developers to build, orchestrate, and deploy AI agents and multi-agent systems. Whether you're building a simple chatbot or a complex multi-agent workflow, Semantic Kernel provides the tools you need with enterprise-grade reliability and flexibility.

System Requirements

Python: 3.10+
.NET: .NET 10.0+
Java: JDK 17+
OS Support: Windows, macOS, Linux

Key Features

Model Flexibility: Connect to any LLM with built-in support for OpenAI, Azure OpenAI, Hugging Face, NVidia and more
Agent Framework: Build modular AI agents with access to tools/plugins, memory, and planning capabilities
Multi-Agent Systems: Orchestrate complex workflows with collaborating specialist agents
Plugin Ecosystem: Extend with native code functions, prompt templates, OpenAPI specs, or Model Context Protocol (MCP)
Vector DB Support: Seamless integration with Azure AI Search, Elasticsearch, Chroma, and more
Multimodal Support: Process text, vision, and audio inputs
Local Deployment: Run with Ollama, LMStudio, or ONNX
Process Framework: Model complex business processes with a structured workflow approach
Enterprise Ready: Built for observability, security, and stable APIs

Installation

First, set the environment variable for your AI Services:

Azure OpenAI:

export AZURE_OPENAI_API_KEY=AAA....

or OpenAI directly:

export OPENAI_API_KEY=sk-...

Python

pip install semantic-kernel

.NET

dotnet add package Microsoft.SemanticKernel
dotnet add package Microsoft.SemanticKernel.Agents.Core

Java

See semantic-kernel-java build for instructions.

Quickstart

Basic Agent - Python

Create a simple assistant that responds to user prompts:

import asyncio
from semantic_kernel.agents import ChatCompletionAgent
from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion

async def main():
    # Initialize a chat agent with basic instructions
    agent = ChatCompletionAgent(
        service=AzureChatCompletion(),
        name="SK-Assistant",
        instructions="You are a helpful assistant.",
    )

    # Get a response to a user message
    response = await agent.get_response(messages="Write a haiku about Semantic Kernel.")
    print(response.content)

asyncio.run(main()) 

# Output:
# Language's essence,
# Semantic threads intertwine,
# Meaning's core revealed.

Basic Agent - .NET

using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents;

var builder = Kernel.CreateBuilder();
builder.AddAzureOpenAIChatCompletion(
                Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT"),
                Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT"),
                Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY")
                );
var kernel = builder.Build();

ChatCompletionAgent agent =
    new()
    {
        Name = "SK-Agent",
        Instructions = "You are a helpful assistant.",
        Kernel = kernel,
    };

await foreach (AgentResponseItem<ChatMessageContent> response 
    in agent.InvokeAsync("Write a haiku about Semantic Kernel."))
{
    Console.WriteLine(response.Message);
}

// Output:
// Language's essence,
// Semantic threads intertwine,
// Meaning's core revealed.

Agent with Plugins - Python

Enhance your agent with custom tools (plugins) and structured output:

import asyncio
from typing import Annotated
from pydantic import BaseModel
from semantic_kernel.agents import ChatCompletionAgent
from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion, OpenAIChatPromptExecutionSettings
from semantic_kernel.functions import kernel_function, KernelArguments

class MenuPlugin:
    @kernel_function(description="Provides a list of specials from the menu.")
    def get_specials(self) -> Annotated[str, "Returns the specials from the menu."]:
        return """
        Special Soup: Clam Chowder
        Special Salad: Cobb Salad
        Special Drink: Chai Tea
        """

    @kernel_function(description="Provides the price of the requested menu item.")
    def get_item_price(
        self, menu_item: Annotated[str, "The name of the menu item."]
    ) -> Annotated[str, "Returns the price of the menu item."]:
        return "$9.99"

class MenuItem(BaseModel):
    price: float
    name: str

async def main():
    # Configure structured output format
    settings = OpenAIChatPromptExecutionSettings()
    settings.response_format = MenuItem

    # Create agent with plugin and settings
    agent = ChatCompletionAgent(
        service=AzureChatCompletion(),
        name="SK-Assistant",
        instructions="You are a helpful assistant.",
        plugins=[MenuPlugin()],
        arguments=KernelArguments(settings)
    )

    response = await agent.get_response(messages="What is the price of the soup special?")
    print(response.content)

    # Output:
    # The price of the Clam Chowder, which is the soup special, is $9.99.

asyncio.run(main())

Agent with Plugin - .NET

using System.ComponentModel;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents;
using Microsoft.SemanticKernel.ChatCompletion;

var builder = Kernel.CreateBuilder();
builder.AddAzureOpenAIChatCompletion(
                Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT"),
                Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT"),
                Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY")
                );
var kernel = builder.Build();

kernel.Plugins.Add(KernelPluginFactory.CreateFromType<MenuPlugin>());

ChatCompletionAgent agent =
    new()
    {
        Name = "SK-Assistant",
        Instructions = "You are a helpful assistant.",
        Kernel = kernel,
        Arguments = new KernelArguments(new PromptExecutionSettings() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() })

    };

await foreach (AgentResponseItem<ChatMessageContent> response 
    in agent.InvokeAsync("What is the price of the soup special?"))
{
    Console.WriteLine(response.Message);
}

sealed class MenuPlugin
{
    [KernelFunction, Description("Provides a list of specials from the menu.")]
    public string GetSpecials() =>
        """
        Special Soup: Clam Chowder
        Special Salad: Cobb Salad
        Special Drink: Chai Tea
        """;

    [KernelFunction, Description("Provides the price of the requested menu item.")]
    public string GetItemPrice(
        [Description("The name of the menu item.")]
        string menuItem) =>
        "$9.99";
}

Multi-Agent System - Python

Build a system of specialized agents that can collaborate:

import asyncio
from semantic_kernel.agents import ChatCompletionAgent, ChatHistoryAgentThread
from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion, OpenAIChatCompletion

billing_agent = ChatCompletionAgent(
    service=AzureChatCompletion(), 
    name="BillingAgent", 
    instructions="You handle billing issues like charges, payment methods, cycles, fees, discrepancies, and payment failures."
)

refund_agent = ChatCompletionAgent(
    service=AzureChatCompletion(),
    name="RefundAgent",
    instructions="Assist users with refund inquiries, including eligibility, policies, processing, and status updates.",
)

triage_agent = ChatCompletionAgent(
    service=OpenAIChatCompletion(),
    name="TriageAgent",
    instructions="Evaluate user requests and forward them to BillingAgent or RefundAgent for targeted assistance."
    " Provide the full answer to the user containing any information from the agents",
    plugins=[billing_agent, refund_agent],
)

thread: ChatHistoryAgentThread = None

async def main() -> None:
    print("Welcome to the chat bot!\n  Type 'exit' to exit.\n  Try to get some billing or refund help.")
    while True:
        user_input = input("User:> ")

        if user_input.lower().strip() == "exit":
            print("\n\nExiting chat...")
            return False

        response = await triage_agent.get_response(
            messages=user_input,
            thread=thread,
        )

        if response:
            print(f"Agent :> {response}")

# Agent :> I understand that you were charged twice for your subscription last month, and I'm here to assist you with resolving this issue. Here’s what we need to do next:

# 1. **Billing Inquiry**:
#    - Please provide the email address or account number associated with your subscription, the date(s) of the charges, and the amount charged. This will allow the billing team to investigate the discrepancy in the charges.

# 2. **Refund Process**:
#    - For the refund, please confirm your subscription type and the email address associated with your account.
#    - Provide the dates and transaction IDs for the charges you believe were duplicated.

# Once we have these details, we will be able to:

# - Check your billing history for any discrepancies.
# - Confirm any duplicate charges.
# - Initiate a refund for the duplicate payment if it qualifies. The refund process usually takes 5-10 business days after approval.

# Please provide the necessary details so we can proceed with resolving this issue for you.


if __name__ == "__main__":
    asyncio.run(main())

Where to Go Next

📖 Try our Getting Started Guide or learn about Building Agents
🔌 Explore over 100 Detailed Samples
💡 Learn about core Semantic Kernel Concepts

API References

Troubleshooting

Common Issues

Authentication Errors: Check that your API key environment variables are correctly set
Model Availability: Verify your Azure OpenAI deployment or OpenAI model access

Getting Help

Check our GitHub issues for known problems
Search the Discord community for solutions
Include your SDK version and full error messages when asking for help

Join the community

We welcome your contributions and suggestions to the SK community! One of the easiest ways to participate is to engage in discussions in the GitHub repository. Bug reports and fixes are welcome!

For new features, components, or extensions, please open an issue and discuss with us before sending a PR. This is to avoid rejection as we might be taking the core in a different direction, but also to consider the impact on the larger ecosystem.

To learn more and get started:

Read the documentation
Learn how to contribute to the project
Ask questions in the GitHub discussions
Ask questions in the Discord community
Attend regular office hours and SK community events
Follow the team on our blog

Contributor Wall of Fame

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information, see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

License

Licensed under the MIT license.

LorisYounger/VPet

虚拟桌宠模拟器一个开源的桌宠软件, 可以内置到任何WPF应用程序

VPet-Simulator

简体中文 | 繁體中文 | English | 日本語

虚拟桌宠模拟器一个开源的桌宠软件, 可以内置到任何WPF应用程序

获取虚拟桌宠模拟器 OnSteam(免费) 或通过Nuget内置到你的WPF应用程序

虚拟桌宠模拟器详细介绍

虚拟桌宠模拟器是一款桌宠软件,支持各种互动投喂等. 开源免费并且支持创意工坊.

反正免费为啥不试试呢(

该游戏为虚拟主播模拟器内置桌宠(教程)程序独立而来, 如果喜欢的话欢迎添加虚拟主播模拟器至愿望单

超多的互动和动画

多达 32(种) * 4(状态) * 3(类型) 种动画, 注:部分种类没有生病状态或循环等内容,实际动画数量会偏少

一些动画例子:

摸头

提起

爬墙

免费

该游戏完全免费! 反正不要钱,试试不要紧(
该游戏主要目的是宣传下虚拟主播模拟器, 这是虚拟主播模拟器里面的桌宠.

开源

该游戏在github上开源, 欢迎提出自己的想法,创意或者参与开发!
您还可以修改代码来制作自己专属的桌宠!(虽然说大部分内容都支持创意工坊,不需要修改代码)
项目地址: https://github.com/LorisYounger/VPet

支持创意工坊

该游戏支持创意工坊,您可以制作别的人物桌宠动画或者互动,并上传至创意工坊分享给更多人使用.

MOD制作器: https://github.com/LorisYounger/VPet.ModMaker

创意工坊支持添加/修改以下内容

桌宠动画
物品/食物/饮料等
自定义桌宠工作
说话文本
主题
代码插件 - 通过编写代码给桌宠添加内容
- 添加新的动画逻辑/显示方案 (eg: l2d/spine 等)
- 添加新功能 (闹钟/记事板等等)
- 几乎无所不能, 示例例子参见 VPet.Plugin.Demo

反馈&建议&联系我们

如果有建议或者意见,可以在Steam商店评论/社区,Github Issue,虚拟主播模拟器贴吧,虚拟桌宠模拟器MODDer群(907101442)或者邮件联系我 mailto:service@exlb.net

软件结构

VPet-Simulator.Windows: 适用于桌面端的虚拟桌宠模拟器
- Function 功能性代码存放位置
  - CoreMOD Mod管理类
  - MWController 窗体控制器
- *WinDesign 窗口和UI设计
  - winBetterBuy 更好买窗口
  - winCGPTSetting ChatGPT 设置
  - winSetting 软件设置/MOD 窗口
  - winConsole 开发控制台
  - winGameSetting 游戏设置
  - winReport 反馈中心
- MainWindows 主窗体,存放和展示Core
- PetHelper 快速切换小标
VPet-Simulator.Tool: 方便制作MOD的工具(eg:图片帧生成)
VPet-Simulator.Core: 软件核心方便内置到任何WPF应用程序(例如:VUP-Simulator)
- Handle 接口与控件
  - IController 窗体控制器 (调用相关功能和设置,例如移动到侧边等)
  - Function 通用功能
  - GameCore 游戏核心,包含各种数据等内容
  - GameSave 游戏存档
  - IFood 食物/物品接口
  - PetLoader 宠物图形加载器
- Graph 图形渲染
  - IGraph 动画基本接口
  - GraphCore 动画显示核心
  - GraphHelper 动画帮助类
  - GraphInfo 动画信息
  - FoodAnimation 食物动画支持显示前中后3层夹心动画不一定只用于食物,只是叫这个名字
  - PNGAnimation 桌宠动态动画组件
  - Picture 桌宠静态动画组件
- Display 显示
  - basestyle/Theme 基本风格主题
  - Main.xaml 核心显示部件
    - MainDisplay 核心显示方法
    - MainLogic 核心显示逻辑
  - ToolBar 点击人物时候的工具栏
  - MessageBar 人物说话时候的说话栏
  - WorkTimer 工作时钟

参与开发

欢迎参与虚拟桌宠模拟器的开发! 为保证代码可维护度和游戏性,如果想要开发新的功能,请先邮件联系或发Issues我想要添加的功能/玩法, 以确保该功能/玩法适用于虚拟桌宠模拟器. 以免未来提交时因不合适被拒(而造成代码浪费)
如果是修复错误或者BUG,无需联系我,修好后直接PR即可

当想法通过后,您可以通过 fork 功能拷贝代码至自己的github以方便编写自己的代码, 编写完毕后通过pull requests 提交
如果您想法没有被通过,也可以另起炉灶,写个不同版本功能的桌宠软件. 但需遵守 Apache License 2.0 与动画版权声明与授权注: 一般来讲, 添加新功能都可以通过编写代码插件MOD实现, 详情请参见 VPet.Plugin.Demo

我可能会对您的提交的代码进行修改,删减等以确保该功能/玩法适用于虚拟桌宠模拟器.

感谢以下参与的开发和翻译人员

和提供社区翻译和更多内容的创意工坊人员

动画版权声明与授权

在github中桌宠动画文件动画版权归虚拟主播模拟器制作组所有, 当使用本类库时,您可能需要自行准备动画文件,或遵循以下协议

**注 ** 本动画声明仅限于桌宠自带的动画, 若有画师/开发者画自己的动画适配给桌宠,并不遵循用本声明

非商用用途授权

需要向用户告知动画文件来源并提供访问该页面的链接
当您完成以上要求后,您可以免费使用动画文件

商用用途授权

第一次使用时需弹窗并醒目的向用户告知动画文件来源并提供访问该页面的链接
在相应页面(用户可以快捷访问)向用户告知动画文件来源并提供访问该页面的链接
禁止通过出售动画文件进行盈利
请邮件联系我
当您完成以上要求后,您可以免费使用动画文件

分发动画文件

需要告知以上所有授权信息
需要提供访问该页面的链接
分发动画文件时禁止任何付费/收费行为

图片版权声明与授权

程序内置图片版权授权同上
Zip 照片图库禁止商用

桌面端部署方法

下载本项目, 通过VisualStudio打开 VPet.sln 文件
在生成栏中, 选择位数为 x64 和生成项目为 Vpet-Simulator.Windows
点击启动, 如果一切正常则会报错 缺少模组Core,无法启动桌宠
以管理员身份运行 mklink.bat, 这会让mod文件链接到生成位置
再次点击启动即可正常运行

Jackett/Jackett

API Support for your favorite torrent trackers

Jackett

Introduction

Jackett works as a proxy server that translates queries from applications (Sonarr, Radarr, SickRage, CouchPotato, Mylar3, Lidarr, DuckieTV, qBittorrent, Nefarious, NZBHydra2, etc.) into tracker-site-specific HTTP queries, parses the HTML or JSON response, and sends results back to the requesting software.

What Jackett does:

Acts as a bridge between your apps and torrent trackers
Provides recent uploads (similar to RSS feeds)
Performs searches across multiple trackers
Returns results in a standardized format (Torznab/TorrentPotato)

Key Features:

Single repository of maintained indexer scraping and translation logic
Removes the burden of tracker integration from other applications
Supports public, semi-private and private trackers
Implements the Torznab and TorrentPotato APIs

Developer Information

This project is recruiting development help. If you can help out please contact us.

For detailed troubleshooting and contributing guidelines, please see CONTRIBUTING.md

A third-party Golang SDK for Jackett is available from webtor-io/go-jackett

Note: The Discord server is no longer maintained. If you have a problem, request, or question, please open a new issue on GitHub.

Supported Systems

The currently supported version of Jackett is 0.24.+, which is compatible with:

Windows: Windows 10 Version 1607 or greater (full list)
Linux: Various distributions (full list)
macOS: macOS 13.0+ (Ventura) or greater (full list)

Prior versions of Jackett are no longer supported.

Supported Trackers

Supported Public Trackers

ØMagnet
1337x
52BT
ACG.RIP
AniLibria
Anime Tosho
AniRena
AniSource
ApacheTorrent
arab-torrents.com
AudioBook Bay (ABB)
Bangumi Moe
BigFANGroup
BlueRoms
BT.etree
BTdirectory (BT目录)
btstate
Byrutor
Catorrent
CrackingPatching
DaMagNet
Demonoid Clone
DivxTotal
dmhy
DonTorrent
E-Hentai
EBook Bay (EBB)
Elitetorrent.wf
EpubLibre
ExtraTorrent.st
EZTV
FileMood
FilmesHdTorrent
Free JAV Torrent
GamesTorrents
HDRTorrent
Internet Archive (archive.org)
kickasstorrents.to
kickasstorrents.ws
Knaben
LimeTorrents
LinuxTracker
Mac Torrents Download
Magnet Cat
MagnetDownload
Magnetz
MegaPeer
MejorTorrent
Mikan
MixTapeTorrent
MoviesDVDR
MyPornClub
nekoBT
NewStudio
Nipponsei
NoNaMe Club (NNM-Club)
Nyaa.si
OneJAV
OpenSharing
PC-torrent
PandaCD
plugintorrent
PornoTorrent
PornRips
Postman
RedeTorrent
RinTorNeT
RuTor
RuTracker.RU
Sexy-Pics
Shana Project
ShowRSS
SkidrowRepack
sosulki
SubsPlease
sukebei.Nyaa.si
The Pirate Bay (TPB)
TheRARBG
Tokyo Tosho
Torrent Downloads
Torrent Oyun indir
Torrent[CORE]
torrent.by
torrent-pirat
Torrent9
TorrentDownload
TorrentGalaxyClone
TorrentKitty
TorrentProject2
TorrentQQ (토렌트큐큐)
Torrents.csv
Torrentsome (토렌트썸)
Torrenttip (토렌트팁)
U2P
U3C3
Uindex
UzTracker
VSTHouse
VST Torrentz
VSTorrent
Wolfmax4K
World-torrent
XXXClub
xxxtor
YTS.ag
Zamunda RIP

Supported Semi-Private Trackers

AniDUB
Anime by Belka (Аниме от Белки)
AnimeLayer
Best-Torrents [PAY2DL]
BitMagnet (Local DHT) [site]
BookTracker
BootyTape
comicat
Deildu
Devil-Torrents
DreamingTree
DXP (Deaf Experts)
Electro-Torrent
Erai-Raws
Ex-torrenty
ExKinoRay
EZTV (login)
Fenyarnyek-Tracker
File-Tracker
Gay-Torrents.net
HD-CzTorrent [PAY2DL]
HDGalaKtik
HellTorrents [PAY2DL]
HunTorrent
Hydracker
Il CorSaRo Blu
ilDraGoNeRo
Kinorun
Kinozal
LostFilm.tv
Magnetico (Local DHT) [site]
Marine Tracker
Mazepa
Metal Tracker
MioBT
MuseBootlegs (MB)
MVGroup Forum
MVGroup Main
NetHD (VietTorrent)
New-Team
NewStudio (login)
NoNaMe Club (NNM-Club) (login)
Polskie-Torrenty
PornoLab
Postman (login)
ProPorno
PussyTorrents
Rainbow Tracker
RGFootball
RinTor
RiperAM
RockBox
RUDUB (ex-BaibaKoTV)
Rustorka
RuTracker.org
seleZen
Sk-CzTorrent
SkTorrent-org
themixingbowl (TMB)
Toloka
TorrentMasters
TrahT
TribalMixes
Union Fansub
UniOtaku
Ztracker

Supported Private Trackers

0day.kiev
13City
1ptbar
3ChangTrai (3CT)
3D Torrents (3DT)
4thD (4th Dimension)
52PT
720pier
Abnormal (ABN)
ABtorrents (ABT + RNS)
AcrossTheTasman
Aftershock
AGSVPT (Arctic Global Seed Vault)
Aidoru!Online
Aither
alingPT
AlphaRatio (AR)
AmigosShareClub (ASC)
AnimeBytes (AB)
AnimeTorrents.ro (Anime Torrents Romania)
AnimeZ (AnimeTorrents)
AnimeWorld (AW)
Anthelion (ANT)
Araba Fenice (Phoenix)
ArabicSource
ArabP2P
ArabScene
ArabTorrents
AsianCinema
AsianDVDClub (ADC)
Audiences
AudioNews (AN)
AURA4K
Aussierul.es
AvistaZ (AsiaTorrents)
Azusa (梓喵)
Back-ups
BakaBT
baoziPT
Beload
Best-Core
BeyondHD (BHD)
Bibliotik
BigBBS
BigCore
Bit-Bázis
BIT-HDTV
Bitded
bitGAMER
BitHUmen
Bitpalace
BitPorn
BitTorrentFiles
BiTTuRK
BJ-Share (BJ)
BlueBird
BlueTorrents
BlurayTracker
Blutopia (BLU)
Borgzelle
Boxing Torrents
Brasil Tracker
BroadcasTheNet (BTN)
BrokenStones
BTArg
BTNext (BTNT)
BTSCHOOL
BWTorrents
BYRBT
C411
cangbaoge (CBG)
CapybaraBR
Carp-Hunter
Carpathians
CarPT
Cathode-Ray.Tube (CRT)
CeskeForum
CGPeers
CHDBits
ChileBT
Cinemageddon
CinemaMovieS_ZT
Cinematik
CinemaZ (EuTorrents)
ClearJAV
Coastal-Music-Crew (C-M-C)
ConCen (Conspiracy Central)
Concertos
CrabPT (蟹黄堡)
CrazySpirits
CrnaBerza
cspt (财神)
cyanbug (大青虫)
CyclingArchiveClub
CZTeam
Darkpeers
Das Unerwartete (D-U)
DataScene (DS)
DesiGaane (DG)
DesiTorrents
Diablo Torrent
DICMusic
DigitalCore (DC)
DimeADozen (EzTorrent)
DiscFan
DocsPedia
Drugari
DS-Reloaded
dubhe (天枢)
Ebooks-Shares
Empornium (EMP)
eMuwarez
eStone (BigTorrent)
Exitorrent.org
ExoticaZ (YourExotic)
Explosiv-World (E-W)
ExtremeBits
F1Carreras
F1GP
FANO.IN
Fappaizuri
Femdomcult
FileList (FL)
FinElite (FE)
Flood (FLD)
Free Farm (自由农场)
FunFile (FF)
FunkyTorrents (FT)
funZone
FutureTorrent [PAY2DL]
Fuzer (FZ)
G3MINI TR4CK3R
Gay-Torrents.org
GAYtorrent.ru
GazelleGames (GGn)
Generation-Free
GGPT
GigaTorrents
GimmePeers (formerly ILT) [PAY2DL]
GiroTorrent
GreatPosterWall (GPW)
HaiDan
Hǎitáng (海棠PT)
HappyFappy (HF)
Hawke-uno (HUNO)
HD Dolby
HD Zero
HD-Club
HD-Forever (HDF)
HD-Olimpo
HD-Only (HDO)
HD-Space (HDS)
HD-Torrents (HDT)
HD-UNiT3D
HDArea (HDA)
HDBao
HDBits
HDCiTY (HDC)
HDClone
HDFans
HDHome
HDKylin (麒麟)
HDRoute
HDSky
HDtime
HDTorrents.it [PAY2DL]
HDTurk
HDU
HDVideo
Hebits (HB)
HellasHut
HELLENIC-HD
HHanClub
HHD
House of Devil
HQMusic
HUDBT (蝴蝶)
HxPT (好学)
ImmortalSeed (iS)
Immortuos
Indietorrents
INFINITY [PAY2DL]
InfinityHD
Infire
Insane Tracker
IPTorrents (IPT)
ItaTorrents
JME-REUNIT3D
JoyHD (JHD)
JPopsuki
JPTV4us
KamePT
Karagarga
Keep Friends (FRDS-PT)
Kelu
Korsar
KrazyZone
Kufei (库非)
Kufirc
Kunlun (昆仑)
lajidui
Last Digital Underground (LDU)
LastFiles (LF)
Lat-Team
Le Saloon
LearnFlakes
Leech24
LemonHD.net
LetSeed
Libble
LibraNet (LN)
LinkoManija
Locadora
LongPT
LosslessClub
LP-Bits 2.0
LST
LuckPT
Luminarr
M-Team - TP (MTTP)
MaDs Revolution
Majomparádé (TurkDepo)
Making Off
Malayabits
Mansão dos Animes (MDAN)
March
Matrix
MeseVilág (Fairytale World)
MetalGuru
MidnightScene
Milkie (ME)
Milnueve
MMA-Torrents
MNV (Max-New-Vision)
MOJBLiNK
MomentPT
MonikaDesign (MDU)
MoreThanTV (MTV)
MouseBits
Muxuege
MyAnonamouse (MAM)
MySpleen
NanyangPT (南洋)
NCore
Nebulance (NBL) (TransmiTheNet)
NewHeaven (TorrentHeavenResurrection)
Nexum
NicePT
Nirvana
njtupt (浦园))
NOBS (NUCLEAR ORDER BIT SYNDICATE)
NorBits
NordicBytes
NORDiCHD
NordicQuality
Nostradamus
NovaHD
OKPT
Old Greek Tracker (OGT)
Old Toons World (OTW)
OpenCD
Orpheus
OnlyEncodes+
OshenPT
OurBits (HDPter)
P2PBG [PAY2DL]
Panda
Party-Tracker
PassThePopcorn (PTP)
Peeratiko
Peers.FM
Phoenix Project
PigNetwork (猪猪网)
PixelCove (Ultimate Gamer)
PiXELHD (PxHD)
PlayletPT
Podzemlje
Polish Torrent (PTT)
PolishTracker
Pornbay
PornBytes
Portugas
Pretome
PrivateHD (PHD)
ProAudioTorrents (PAT)
PT GTK
PT分享站 (itzmx)
PTCafe (咖啡)
PTCC (我的PT)
PTerClub (PT之友俱乐部)
PTFans
PTFiles (PTF)
PThome
PTLAO
PTLGS
PTSBAO (烧包)
PTSKIT
PTTey
PTtime
PTYING (樱花)
PTzone
Punk's Horror Tracker
PuntoTorrent
PuTao (葡萄)
PWTorrents (PWT)
Qingwa (青蛙)
R3V WTF!
Racing4Everyone (R4E)
RacingForMe (RFM)
RailgunPT
Rain (雨)
Rastastugan
Red Star Torrent (RST)
Redacted (PassTheHeadphones)
ReelFlix (HD4Free,LegacyHD)
RetroFlix
RetroMoviesClub (RMC)
RetroToon
RevolutionTT
RocketHD
Romanian Metal Torrents (RMT)
RoTorrent (ROT)
Rousi.pro
SAMARITANO
SBPT
SceneHD
SceneRush
SceneTime
Secret Cinema
SeedFile (SF)
seedpool
SewerPT (下水道)
SexTorrent
ShaKaw
Shareisland
Shazbat
SiamBIT [PAY2DL]
Siqi
SkipTheCommercials
Slobit Media
SnowPT (SSPT)
SoulVoice (聆音Club)
SpeedApp (SceneFZ, XtreMeZone / MYXZ, ICE Torrent)
SpeedCD
Speedmaster HD
Spirit of Revolution
SportsCora
SportsCult
SpringSunday (SSD)
SugoiMusic
SunnyPT
Superbits (SBS)
Swarmazon
TangPT (躺平)
Tapochek
Tasmanit
Team CT Game (TCTG)
TeamFlix
TeamHD
TeamOS
TEKNO3D
The Brothers
The Crazy Ones
The Empire (TE)
The Falling Angels (TFA)
The Geeks
The Kitchen (TK)
The New Retro
The Occult (TO)
The Old School (TOS)
The Paradiese
The Place (TP)
The Show (TSBZ)
The Vault (TVBZ)
The-New-Fun
TheLeachZone (TLZ)
TJUPT (北洋园PT)
TLFBits
TmGHuB (TH)
Toca Share
Tormac
Tornado
Torr9
Torrent Heaven (Dutch)
Torrent Network (TN)
Torrent Trader
Torrent-Syndikat
TOrrent-tuRK (TORK)
Torrent.LT
TorrentBD
TorrentBytes (TBy)
TorrentCCF (TCCF)
TorrentDay (TD)
TorrentDD (TodayBit)
Torrenteros (TTR)
TorrentHR
Torrenting (TT)
TorrentLeech (TL)
TorrentLeech.pl
ToTheGlory (TTG)
TrackerMK
TrackerZero [PAY2DL]
TranceTraffic
Trellas (Magico)
TreZzoR
TurkSeed (Aturk)
TurkTorrent (TT) [PAY2DL]
TV Chaos UK (TVCUK)
TVstore
U2 (U2分享園@動漫花園)
UBits
UltraHD
Ultrabits
UnlimitZ
upload.cx (ULCX)
Upscale Vault
UTOPIA
Vault network
VietMediaF
White Angel
WinterSakura
World-In-HD
World-of-Tomorrow
Xingtan (杏坛)
Xingwan (星湾)
Xingyung (星陨阁)
xloli (ilolicon PT)
XSpeeds (XS)
xTorrenty
XtremeBytes (TorrentSurf)
XWT-Classics
XWTorrents (XWT)
YUSCENE
Zappateers
ZmPT (织梦)
ZRPT (自然)

Note: Trackers marked with have no active maintainer and may be broken or missing features. If you have an invite, please send it to jacketttest [at] gmail [dot] com or garfieldsixtynine [at] gmail [dot] com to help improve these indexers.

Installation

Windows Installation

Method 1: Using the Installer (Recommended)

Prerequisites:

Windows 10 Version 1607 or newer
Administrator privileges
.NET prerequisites (check here)

Installation Steps:

Download the latest version of the Windows installer
Run the Jackett.Installer.Windows.exe program
When prompted for permission to make changes to your computer, click "Yes"
During installation:
- Check "Install as Windows Service" if you want Jackett to start automatically with Windows
- Check "Launch Jackett" to open Jackett after installation completes
Click "Install" and wait for the installation to finish
Double-click the Jackett tray icon, or navigate your web browser to http://127.0.0.1:9117
You are now ready to begin adding trackers

Service Management:

When installed as a service, the tray icon acts as a way to open, start, or stop Jackett
If not installed as a service, Jackett will run its web server from the tray tool

Method 2: Manual Installation

Download the zipped version
Extract to your preferred location (e.g., C:\ProgramData\Jackett)
Run JackettConsole.exe to start Jackett
Navigate your web browser to http://127.0.0.1:9117

Running from Command Line: You can run Jackett from the command line to see log messages. Use JackettConsole.exe (for Command Prompt), found in the Jackett data folder: e.g. %ProgramData%\Jackett. Ensure the server is not already running from the tray or service.

Linux Installation (AMD x64)

This section covers installation on most common Linux distributions including Ubuntu, Linux Mint, Debian, Fedora, and others.

Prerequisites:

Most operating systems include all required dependencies
If dependencies are missing, refer to .NET Required Packages

Method 1: One-Command Installation (Easiest)

Copy and paste this command into your terminal:

cd /opt && wget -O - -o /dev/stderr https://github.com/Jackett/Jackett/releases/latest/download/Jackett.Binaries.LinuxAMDx64.tar.gz | sudo tar -xz && cd Jackett* && sudo chown $(whoami):$(id -g) -R "/opt/Jackett" && sudo ./install_service_systemd.sh && systemctl status jackett.service && cd - && echo -e "\nVisit http://127.0.0.1:9117"

Method 2: Step-by-Step Installation

Download and extract the latest release:

cd /opt
wget -O - -o /dev/stderr https://github.com/Jackett/Jackett/releases/latest/download/Jackett.Binaries.LinuxAMDx64.tar.gz | sudo tar -xz

Set proper ownership:

sudo chown -R $(whoami):$(id -g) /opt/Jackett

Install as a service:

cd /opt/Jackett
sudo ./install_service_systemd.sh

Check service status:
```
systemctl status jackett.service
```
Navigate your web browser to http://127.0.0.1:9117

Running Without Installing as a Service

Download and extract the latest Jackett.Binaries.LinuxAMDx64.tar.gz release from the releases page
Open a Terminal and cd to the Jackett folder
Run Jackett with the command ./jackett

Service Management Commands

# Start Jackett
systemctl start jackett.service

# Stop Jackett
systemctl stop jackett.service

# Restart Jackett
systemctl restart jackett.service

# Check status
systemctl status jackett.service

Logs Location: ~/.config/Jackett/log.txt View Logs: journalctl -u jackett.service

Home Directory Configuration

If you want to run Jackett with a user without a /home directory, add this line to your systemd file:

Environment=XDG_CONFIG_HOME=/path/to/folder

This folder will be used to store configuration files.

Linux Installation (ARMv7 or above)

For modern ARM-based systems (Raspberry Pi, etc.)

Prerequisites:

Most operating systems include all required dependencies
If dependencies are missing, refer to .NET Required Packages

Installing as a Service

Download the appropriate release:
- For 32-bit ARM (most common): Jackett.Binaries.LinuxARM32.tar.gz
- For 64-bit ARM: Jackett.Binaries.LinuxARM64.tar.gz
```
cd /opt
wget -O - -o /dev/stderr https://github.com/Jackett/Jackett/releases/latest/download/Jackett.Binaries.LinuxARM32.tar.gz | sudo tar -xz
```

Install as a service:

cd /opt/Jackett
sudo ./install_service_systemd.sh

The service will start on each login. Manage it using:

# Start Jackett
systemctl start jackett.service

# Stop Jackett
systemctl stop jackett.service

# Restart Jackett
systemctl restart jackett.service

# Check status
systemctl status jackett.service

Download and extract the latest Jackett.Binaries.LinuxARM32.tar.gz or Jackett.Binaries.LinuxARM64.tar.gz release from the releases page
Open a Terminal and cd to the Jackett folder
Run Jackett with the command ./jackett

Linux Installation (ARMv6 or below)

For legacy ARM systems.

Prerequisites:

Install Mono 5.10 or newer (latest stable release recommended):
- Follow instructions on the Mono website
- Install mono-devel and ca-certificates-mono packages
- On Red Hat/CentOS/openSUSE/Fedora, also install mono-locale-extras
Install libcurl:
- Debian/Ubuntu: apt-get install libcurl4-openssl-dev
- Redhat/Fedora: yum install libcurl-devel
- For other distributions, see the Curl documentation
Download and extract the latest Jackett.Binaries.Mono.tar.gz from the releases page
Run Jackett using Mono:
```
mono --debug JackettConsole.exe
```
(Optional) To install as a service:
```
sudo ./install_service_systemd_mono.sh
```

Important Notes:

Mono must be compiled with the Roslyn compiler (default)
Using MCS will cause "An error has occurred" errors (see issue #2704)
For users without a /home directory, add Environment=XDG_CONFIG_HOME=/path/to/folder to your systemd file

macOS Installation

Prerequisites:

macOS 13.0+ (Ventura) or greater

Installing as a Service

Download the appropriate release:
- Intel (x86): Jackett.Binaries.macOS.tar.gz
- Apple silicon (ARM): Jackett.Binaries.macOSARM64.tar.gz
Get the latest release from the releases page
Extract the downloaded file
Open the extracted folder and double-click on install_service_macos
If installation is successful, close the Terminal window
Navigate your web browser to http://127.0.0.1:9117

Service Management:

The service will start on each login. You can control it using:

# Stop Jackett
launchctl unload ~/Library/LaunchAgents/org.user.Jackett.plist

# Start Jackett
launchctl load ~/Library/LaunchAgents/org.user.Jackett.plist

Logs Location:

~/.config/Jackett/log.txt
/Users/your-user-name/Library/Application Support/Jackett/log.txt

Running Without Installing as a Service

Download and extract the latest Jackett.Binaries.macOS.tar.gz or Jackett.Binaries.macOSARM64.tar.gz release from the releases page
Open Terminal and navigate to the Jackett folder
Run Jackett with the command ./jackett

Docker Installation

Docker installation is highly recommended, especially if you are experiencing Mono stability issues or having trouble running Mono on your system (e.g., QNAP, Synology).

Detailed instructions are available at LinuxServer.io Jackett Docker

Thanks to LinuxServer.io for maintaining the Docker image.

Other Installation Methods

Linux via Ansible

CentOS/RedHat 7: jewflix.jackett
Ubuntu 16: chrisjohnson00.jackett

Homebrew (macOS/Linux)

Install via Homebrew: Homebrew Formulae - Jackett

Synology

Jackett is available as a beta package from SynoCommunity

Alpine Linux

Detailed instructions available at Jackett's Wiki - Alpine Linux

OpenWrt

Detailed instructions available at Jackett's Wiki - OpenWrt

Uninstallation

Windows

Use "Add or Remove Programs" in Windows Settings
Or run the installer again and choose "Uninstall"

Linux

Run this command:

wget https://raw.githubusercontent.com/Jackett/Jackett/master/uninstall_service_systemd.sh --quiet -O - | sudo bash

macOS

Run this command:

curl -sSL https://raw.githubusercontent.com/Jackett/Jackett/master/uninstall_jackett_macos | bash

Configuration

Running Behind Reverse Proxy

When running Jackett behind a reverse proxy, ensure that the original hostname of the request is passed to Jackett. If HTTPS is used, also set the X-Forwarded-Proto header to "https".

Important: Adjust the "Base path override" in Jackett settings accordingly.

Apache Configuration Example

<Location /jackett>
    ProxyPreserveHost On
    RequestHeader set X-Forwarded-Proto expr=%{REQUEST_SCHEME}
    ProxyPass http://127.0.0.1:9117
    ProxyPassReverse http://127.0.0.1:9117
</Location>

Nginx Configuration Example

location /jackett {
    proxy_pass http://127.0.0.1:9117;
    proxy_set_header X-Real-IP $remote_addr;
    proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
    proxy_set_header X-Forwarded-Proto $scheme;
    proxy_set_header X-Forwarded-Host $http_host;
    proxy_redirect off;
}

Search Cache

Jackett has an internal cache to increase search speed and reduce the number of requests to torrent sites. The default values should be suitable for most users.

Configuration Options:

Cache TTL (seconds): Default is 2100 (35 minutes). This indicates how long results can remain in the cache.
Cache max results per indexer: Default is 1000. This limits how many results are kept in cache for each indexer to control RAM usage.

Note: If you make many requests and have sufficient memory, you can increase the maximum results. If you experience problems, you can reduce the TTL value or disable the cache. Be aware that making too many requests can result in being banned by tracker sites.

Torznab Cache

If you have enabled the Jackett internal cache but want to fetch fresh results for a specific query (ignoring the cache), add the &cache=false parameter to your Torznab query.

Example:

http://127.0.0.1:9117/api/v2.0/indexers/all/results/torznab/api?apikey=YOUR_API_KEY&t=search&q=query&cache=false

Configuring FlareSolverr

Some indexers are protected by Cloudflare or similar services, and Jackett cannot solve the challenges on its own. For these cases, FlareSolverr has been integrated into Jackett.

What is FlareSolverr: FlareSolverr is a proxy server that solves Cloudflare and other anti-bot challenges, then provides Jackett with the necessary cookies.

Setup Instructions:

Install FlareSolverr service following their installation instructions
Configure FlareSolverr in Jackett:
- Open Jackett settings
- Set FlareSolverr API URL (e.g., http://172.17.0.2:8191)
- It is recommended to keep the default value in FlareSolverr Max Timeout (ms)

Note: Setting up this service is optional. Most indexers do not require it.

Configuring OMDb

This feature is used as a fallback when using the aggregate indexer to get the movie or series title if only the IMDB ID is provided in the request.

Setup Instructions:

Request a free API key from OMDb
- Free tier allows 1,000 daily requests
Paste the API key in Jackett settings

API Usage

Jackett Torznab Query Syntax

Jackett accepts Torznab queries following the specifications described in the Torznab specification document.

Basic Query Structure:

http://127.0.0.1:9117/api/v2.0/indexers/<indexer-name>/results/torznab/api?apikey=<your-api-key>&t=<search-type>&<parameters>

Examples:

Get indexer capabilities:

http://127.0.0.1:9117/api/v2.0/indexers/1337x/results/torznab/api?apikey=YOUR_API_KEY&t=caps

Perform a free text search:

http://127.0.0.1:9117/api/v2.0/indexers/1337x/results/torznab/api?apikey=YOUR_API_KEY&t=search&q=ubuntu

Search Modes and Parameters

Jackett supports the following search modes:

t=search (General Search)

Parameters: q (query string)

Example:

.../api?apikey=YOUR_API_KEY&t=search&cat=100002,100003&q=Show+Title+S01E02

t=tvsearch (TV Search)

Parameters: q, season, ep, imdbid, tvdbid, rid, tmdbid, tvmazeid, traktid, doubanid, year, genre

Examples:

.../api?apikey=YOUR_API_KEY&t=tvsearch&cat=5000&q=Show+Title&season=1&ep=2

.../api?apikey=YOUR_API_KEY&t=tvsearch&cat=5040,5045&genre=comedy&season=2023&ep=02/13

t=movie (Movie Search)

Parameters: q, imdbid, tmdbid, traktid, doubanid, year, genre

Examples:

.../api?apikey=YOUR_API_KEY&t=movie&cat=100001&q=Movie+Title&year=2023

.../api?apikey=YOUR_API_KEY&t=movie&cat=2000&imdbid=tt1234567

t=music (Music Search)

Parameters: q, album, artist, label, track, year, genre

Example:

.../api?apikey=YOUR_API_KEY&t=music&cat=100004&album=Title&artist=Name

t=book (Book Search)

Parameters: q, title, author, publisher, year, genre

Example:

.../api?apikey=YOUR_API_KEY&t=book&cat=100005,100006&genre=horror&publisher=Stuff

Note: Most indexers will only support a subset of these search modes and parameters. Use t=caps to get a list of the actual modes and parameters supported by a specific indexer.

Filter Indexers

A special "filter" indexer is available at:

http://127.0.0.1:9117/api/v2.0/indexers/<filter>/results/torznab

It will query the configured indexers that match the filter expression criteria and return combined results as "all".

Supported Filters

Filter	Condition
`type:<type>`	Indexer type equals `<type>`
`tag:<tag>`	Indexer tags contain `<tag>`
`lang:<lang>`	Indexer language starts with `<lang>`
`test:passed`	Last indexer test passed
`test:failed`	Last indexer test failed
`status:healthy`	Indexer successfully operated in recent minutes
`status:failing`	Indexer generated errors in recent calls
`status:unknown`	Indexer unused for a while

Supported Operators

Operator	Condition
`!<expr>`	NOT `<expr>`
`<expr1>+<expr2>`	`<expr1>` AND `<expr2>`
`<expr1>,<expr2>`	`<expr1>` OR `<expr2>`

Filter Examples

Example 1: Query indexers tagged with "group1" OR all non-private indexers with English language:

.../api/v2.0/indexers/tag:group1,!type:private+lang:en/results/torznab

Example 2: Query indexers that are not failing OR that passed their last test:

.../api/v2.0/indexers/!status:failing,test:passed/results/torznab

Aggregate Indexers

A special "all" indexer is available at:

http://127.0.0.1:9117/api/v2.0/indexers/all/results/torznab

It will query all configured indexers and return combined results.

Important Considerations

When to use the "all" indexer:

Quick setup with fewer configuration steps
Testing multiple indexers at once

Limitations of the "all" indexer:

You lose control over indexer-specific settings (categories, search modes, etc.)
Mixing search modes (IMDB, query, etc.) might cause low-quality results
Indexer-specific categories (>= 100000) cannot be used
Slow indexers will slow down overall results
Total results are limited to 1000

Recommendation: If your client supports multiple feeds, add each indexer directly instead of using the "all" indexer for better control and performance.

Getting Indexer Information

To get all Jackett indexers including their capabilities:

.../api/v2.0/indexers/all/results/torznab/api?apikey=YOUR_API_KEY&t=indexers

To filter by configuration status:

.../api/v2.0/indexers/all/results/torznab/api?apikey=YOUR_API_KEY&t=indexers&configured=true
.../api/v2.0/indexers/all/results/torznab/api?apikey=YOUR_API_KEY&t=indexers&configured=false

Command Line Switches

You can pass various options when running Jackett via the command line:

Windows Service Management

-i, --Install - Install Jackett Windows service (requires administrator)
-s, --Start - Start the Jackett Windows service (requires administrator)
-k, --Stop - Stop the Jackett Windows service (requires administrator)
-u, --Uninstall - Uninstall Jackett Windows service (requires administrator)
-r, --ReserveUrls - Register Windows port reservations (required for listening on all interfaces)

Configuration Options

-l, --Logging - Log all requests/responses to Jackett
-t, --Tracing - Enable tracing
-c, --UseClient - Override web client selection: automatic (default), httpclient, httpclient2
-x, --ListenPublic - Listen publicly (accessible from other devices)
-z, --ListenPrivate - Only allow local access (default)
-p, --Port - Specify web server port (default: 9117)
-n, --IgnoreSslErrors - Ignore invalid SSL certificates: true or false
-d, --DataFolder - Specify the location of the data folder (requires administrator on Windows)
- Example: --DataFolder="D:\Your Data\Jackett\"
- Note: Do not use this on Unix (Mono) systems. Adjust the HOME directory or set XDG_CONFIG_HOME environment variable instead
--NoRestart - Don't restart after update
--PIDFile - Specify the location of the PID file
--NoUpdates - Disable automatic updates
--help - Display help screen
--version - Display version information

Example Usage

# Start Jackett on a custom port
./jackett --Port 9118

# Start with public access enabled
./jackett --ListenPublic

# Start with custom data folder (Windows)
JackettConsole.exe --DataFolder="D:\Jackett Data"

# Enable detailed logging
./jackett --Logging --Tracing

Building from Source

Windows

See the contributing guide for detailed instructions.

macOS

Prerequisites: Install .NET SDK manually from dotnet.microsoft.com

Build Steps:

# Clone the repository
git clone https://github.com/Jackett/Jackett.git
cd Jackett/src

# Build for .NET Core
dotnet publish Jackett.Server -f net9.0 --self-contained -r osx-x64 -c Debug

# Run Jackett
./Jackett.Server/bin/Debug/net9.0/osx-x64/jackett

Linux

Prerequisites:

# Install build tools (Debian/Ubuntu)
sudo apt install nuget msbuild dotnet-sdk-9.0

# For other distributions, install equivalent packages

Build Steps:

# Clone the repository
git clone https://github.com/Jackett/Jackett.git
cd Jackett/src

# Build for .NET Core
dotnet publish Jackett.Server -f net9.0 --self-contained -r linux-x64 -c Debug

# Run Jackett
./Jackett.Server/bin/Debug/net9.0/linux-x64/jackett

Troubleshooting

Common Issues

Cannot Connect to Jackett

Check if Jackett is running:

# Linux
systemctl status jackett.service

# Windows
- Check the system tray for Jackett icon
- Check Services (services.msc) for "Jackett" service

Try alternative URL:

Instead of http://127.0.0.1:9117, try http://localhost:9117

Check firewall:

Ensure port 9117 is not blocked by your firewall
On Linux: sudo ufw allow 9117
On Windows: Check Windows Defender Firewall settings

No Search Results

Test the indexer directly:

Go to Jackett dashboard
Click "Manual Search" on the indexer
Enter a test query
Check if results appear

Verify tracker status:

Check if the tracker website is accessible in your browser
Some trackers may be down or blocking your IP

Check indexer configuration:

For private trackers, ensure your credentials are correct
Try re-adding the indexer

Permission Denied Errors (Linux)

# Fix ownership of Jackett files
sudo chown -R $USER:$USER /opt/Jackett
sudo chown -R $USER:$USER ~/.config/Jackett

Service Won't Start (Linux)

# View recent error logs
journalctl -u jackett.service -n 50

# Reload systemd and restart
sudo systemctl daemon-reload
sudo systemctl restart jackett.service

# Check for errors
systemctl status jackett.service

Cloudflare Protection

If an indexer shows "Cloudflare protected" errors:

Install and configure FlareSolverr (see Configuring FlareSolverr)
Make sure FlareSolverr is running and accessible
Test the indexer again

Updates Failing

Manual update:

Download the latest release for your platform
Stop Jackett service
Extract new files over existing installation
Start Jackett service

Disable automatic updates:

./jackett --NoUpdates

Other Common Issues

See https://github.com/Jackett/Jackett/wiki/Troubleshooting

Getting Help

Check the GitHub Issues for similar problems
Read the Troubleshooting Guide
Open a new issue with:
- Your operating system and version
- Jackett version
- Error messages from logs
- Steps to reproduce the problem

Log Locations

Linux:

~/.config/Jackett/log.txt
journalctl -u jackett.service

Windows:

%ProgramData%\Jackett\log.txt

macOS:

~/.config/Jackett/log.txt
/Users/your-user-name/Library/Application Support/Jackett/log.txt

Contributing

This project is actively recruiting development help. If you can contribute code, please see:

Ways to Contribute:

Report bugs and issues
Suggest new features
Add or fix indexer definitions
Improve documentation
Submit code contributions

Screenshots

Quick Reference

Item	Value/Location
Default URL	`http://127.0.0.1:9117`
Default Port	9117
Config (Linux)	`~/.config/Jackett/`
Config (Windows)	`%ProgramData%\Jackett\`
Config (macOS)	`~/.config/Jackett/` or `~/Library/Application Support/Jackett/`
Logs (Linux)	`~/.config/Jackett/log.txt`
Logs (Windows)	`%ProgramData%\Jackett\log.txt`
Latest Release	GitHub Releases
Documentation	GitHub Wiki
Issues	GitHub Issues

License and Credits

Jackett is an open-source project maintained by the community.

Links:

bitwarden/server

Bitwarden infrastructure/backend (API, database, Docker, etc).

The Bitwarden Server project contains the APIs, database, and other core infrastructure items needed for the "backend" of all bitwarden client applications.

The server project is written in C# using .NET Core with ASP.NET Core. The database is written in T-SQL/SQL Server. The codebase can be developed, built, run, and deployed cross-platform on Windows, macOS, and Linux distributions.

Developer Documentation

Please refer to the Server Setup Guide in the Contributing Documentation for build instructions, recommended tooling, code style tips, and lots of other great information to get you started.

Deploy

You can deploy Bitwarden using Docker containers on Windows, macOS, and Linux distributions. Use the provided PowerShell and Bash scripts to get started quickly. Find all of the Bitwarden images on GitHub Container Registry.

Full documentation for deploying Bitwarden with Docker can be found in our help center at: https://help.bitwarden.com/article/install-on-premise/

Requirements

Docker
Docker Compose (already included with some Docker installations)

These dependencies are free to use.

Linux & macOS

curl -s -L -o bitwarden.sh \
    "https://func.bitwarden.com/api/dl/?app=self-host&platform=linux" \
    && chmod +x bitwarden.sh
./bitwarden.sh install
./bitwarden.sh start

Windows

Invoke-RestMethod -OutFile bitwarden.ps1 `
    -Uri "https://func.bitwarden.com/api/dl/?app=self-host&platform=windows"
.\bitwarden.ps1 -install
.\bitwarden.ps1 -start

Production Container Images

View Current Production Image Hashes (click to expand)

US Production Cluster

Service	Image Hash
Admin
API
Billing
Events
EventsProcessor
Identity
Notifications
SCIM
SSO

EU Production Cluster

Service	Image Hash
Admin
API
Billing
Events
EventsProcessor
Identity
Notifications
SCIM
SSO

We're Hiring!

Interested in contributing in a big way? Consider joining our team! We're hiring for many positions. Please take a look at our Careers page to see what opportunities are currently open as well as what it's like to work at Bitwarden.

Contribute

Code contributions are welcome! Please commit any pull requests against the main branch. Learn more about how to contribute by reading the Contributing Guidelines. Check out the Contributing Documentation for how to get started with your first contribution.

Security audits and feedback are welcome. Please open an issue or email us privately if the report is sensitive in nature. You can read our security policy in the SECURITY.md file. We also run a program on HackerOne.

No grant of any rights in the trademarks, service marks, or logos of Bitwarden is made (except as may be necessary to comply with the notice requirements as applicable), and use of any Bitwarden trademarks must comply with Bitwarden Trademark Guidelines.

Dotnet-format

Consider installing our git pre-commit hook for automatic formatting.

git config --local core.hooksPath .git-hooks

AvaloniaUI/Avalonia

Develop Desktop, Embedded, Mobile and WebAssembly apps with C# and XAML. The future of .NET UI

📖 About

Avalonia is a cross-platform UI framework for dotnet, providing a flexible styling system and supporting a wide range of platforms such as Windows, macOS, Linux, iOS, Android and WebAssembly. Avalonia is mature and production ready and is used by companies, including Schneider Electric, Unity, JetBrains and GitHub.

Considered by many to be the spiritual successor to WPF, Avalonia UI provides a familiar, modern development experience for XAML developers creating cross-platform applications. While Avalonia UI is similar to WPF, it isn't a 1:1 copy, and you'll find plenty of improvements.

For those seeking a cross-platform WPF, we have created Avalonia XPF, enabling WPF applications to run on macOS and Linux with little to no code changes. Avalonia XPF is a commercial product and is licensed per-app, per-platform.

Blog

To see the latest announcements and read about the state of Avalonia, check out the Avalonia UI Blog.

Sponsorship

Avalonia development is supported by the generous sponsorship of Devolutions.

🚀 Getting Started

See our Get Started guide to begin developing apps with Avalonia UI.

Visual Studio Code

The Avalonia for Code extension gives you everything you need to build cross-platform .NET apps. XAML previewing, code completion, diagnostics, and code navigation, all inside the world's most popular editor. It's the fastest way to get started with Avalonia.

Visual Studio 2022 & 2026

The Avalonia Visual Studio Extension contains project and control templates, a live XAML previewer, code completion, and full diagnostics directly into Visual Studio.

JetBrains Rider

JetBrains Rider supports for Avalonia.

Code completion, inspections and refactorings are supported out of the box. To enable previewing XAML, you will require a 3rd party, community-maintained extension: https://plugins.jetbrains.com/plugins/dev/14839 to plugin repositories and install AvaloniaRider plugin.

Avalonia Packages

Avalonia is delivered via NuGet package manager. You can find the packages here: https://www.nuget.org/packages/Avalonia/

Use these commands in the Package Manager console to install Avalonia manually:

Install-Package Avalonia
Install-Package Avalonia.Desktop

Bleeding Edge Builds

We also have a nightly build which tracks the current state of master. Although these packages are less stable than the release on NuGet.org, you'll get all the latest features and bugfixes right away and many of our users actually prefer this feed!

Learning

Documentation

Documentation can be found at https://docs.avaloniaui.net.

Tutorials

We also have a tutorial over there for newcomers.

Samples

We have a range of samples to help you get started.

Breaking Changes

You can also see what breaking changes between Avalonia 11 and Avalonia 12.

Building and Using

See the build instructions here.

Contributing

This project exists thanks to all the people who contribute. Please read the contribution guidelines before submitting a pull request.

Code of Conduct

This project has adopted the code of conduct defined by the Contributor Covenant to clarify expected behavior in our community. For more information, see the Code of Conduct.

Security

If you discover a security vulnerability in any of our SDKs, tools, services, or repositories, please help us keep the community safe by reporting it responsibly.

You can report security vulnerabilities by emailing security@avaloniaui.net.

Please avoid disclosing the issue publicly until we have had a reasonable amount of time to investigate and release a patch or mitigation. We review all legitimate reports and will work with you to quickly resolve the issue.

Please note that Avalonia does not operate a bug bounty programme.

Licence

Avalonia is licenced under the MIT licence.

XPF - cross-platform WPF

Unleash the full potential of your existing WPF apps with our cross-platform UI framework, enabling WPF apps to run on macOS and Linux without requiring expensive and risky rewrites.

Tyrrrz/YoutubeDownloader

Downloads videos and playlists from YouTube

YoutubeDownloader

Development of this project is entirely funded by the community. Consider donating to support!

YoutubeDownloader is an application that lets you download videos from YouTube. You can copy-paste URL of any video, playlist or channel and download it directly in a format of your choice. It also supports searching by keywords, which is helpful if you want to quickly look up and download videos.

Note

This application uses YoutubeExplode under the hood to interact with YouTube. You can read this article to learn more about how it works.

Terms of use^[?]

By using this project or its source code, for any purpose and in any shape or form, you grant your implicit agreement to all the following statements:

You condemn Russia and its military aggression against Ukraine
You recognize that Russia is an occupant that unlawfully invaded a sovereign state
You support Ukraine's territorial integrity, including its claims over temporarily occupied territories of Crimea and Donbas
You reject false narratives perpetuated by Russian state propaganda

To learn more about the war and how you can help, click here. Glory to Ukraine! 🇺🇦

Download

🟢 Stable release
🟠 CI build
📦 Scoop: scoop install extras/youtubedownloader (community-maintained)
📦 AUR: yay -S youtubedownloader (community-maintained)

Important

To launch the app on MacOS, you may need to first remove the downloaded file from quarantine. You can do that by running the following command in the terminal: xattr -rd com.apple.quarantine YoutubeDownloader.app.

Note

Community-maintained packages are published independently from this repository and may not always be up to date with the latest release.

Note

If you're unsure which build is right for your system, consult with this page to determine your OS and CPU architecture.

Features

Cross-platform graphical user interface
Download videos by URL
Download videos from playlists or channels
Download videos by search query
Selectable video quality and format
Automatically embed audio tracks in alternative languages
Automatically embed subtitles
Automatically inject media tags
Log in with a YouTube account to access private content

Screenshots

huiyadanli/RevokeMsgPatcher

A hex editor for WeChat/QQ/TIM - PC版微信/QQ/TIM防撤回补丁（我已经看到了，撤回也没用了）

👀微信/QQ/TIM防撤回补丁

适用于 Windows 下 PC 版微信/QQ/TIM的防撤回补丁。支持微信/QQ/TIM，其中微信能够选择安装多开功能。

下载地址： ⚡️点我下载最新版本 | ☁备用下载-蓝奏云密码:coco| ☁备用下载-百度云

相关文档： ✔支持哪些版本 | ❓常见问题 | 📖查看完整文档

原理与方法： 📗微信 | 📕QQ | 📘TIM （本人不参与方法寻找，仅做特征搬运）

附带产物：一个通用的微信多开工具

📷截图

🔨使用方法

首先，你的系统需要满足以下条件：
- Windows 7 或更高版本，不支持XP。
- .NET Framework 4.5.2 或更高版本。低于此版本在打开程序时可能无反应，或者直接报错。
使用本程序前，先关闭微信/QQ/TIM。
以管理员身份运行本程序，等待右下角获取最新的补丁信息。
选择微信/QQ/TIM的安装路径。如果你用的安装版的微信/QQ/TIM，正常情况下本程序会自动从注册表中获取安装路径，绿色版需要手动选择路径。
点击防撤回。界面可能会出现一段时间的无响应，请耐心等待。由于修改了微信的 WeChatWin.dll 文件、QQ/TIM的 IM.dll 文件，杀毒软件可能会弹出警告，放行即可。

注意：微信/QQ/TIM更新之后要重新安装补丁！

💡致谢

本项目早期内容源自 wechat_anti_revoke 项目。

2.0 之前版本 QQNT 防撤回依赖于 LiteLoaderQQNT，修补依赖于 DLLHijackMethod 并集成了以下插件：

2.1 版本的 QQNTT 防撤回特征来自 NTQQAntiRecall

微信4.0版本后的防撤回特征来自于 BetterWX

❤️投喂

觉的好用的话，可以支持作者哟ヾ(･ω･`｡)

📄License

GPLv3

Perfare/Il2CppDumper

Unity il2cpp reverse engineer

Il2CppDumper

中文说明请戳这里

Unity il2cpp reverse engineer

Features

Complete DLL restore (except code), can be used to extract MonoBehaviour and MonoScript
Supports ELF, ELF64, Mach-O, PE, NSO and WASM format
Supports Unity 5.3 - 2022.2
Supports generate IDA, Ghidra and Binary Ninja scripts to help them better analyze il2cpp files
Supports generate structures header file
Supports Android memory dumped libil2cpp.so file to bypass protection
Support bypassing simple PE protection

Usage

Run Il2CppDumper.exe and choose the il2cpp executable file and global-metadata.dat file, then enter the information as prompted

The program will then generate all the output files in current working directory

Command-line

Il2CppDumper.exe <executable-file> <global-metadata> <output-directory>

Outputs

DummyDll

Folder, containing all restored dll files

Use dnSpy, ILSpy or other .Net decompiler tools to view

Can be used to extract Unity MonoBehaviour and MonoScript, for UtinyRipper, UABE

ida.py

For IDA

ida_with_struct.py

For IDA, read il2cpp.h file and apply structure information in IDA

il2cpp.h

structure information header file

ghidra.py

For Ghidra

Il2CppBinaryNinja

For BinaryNinja

ghidra_wasm.py

For Ghidra, work with ghidra-wasm-plugin

script.json

For ida.py, ghidra.py and Il2CppBinaryNinja

stringliteral.json

Contains all stringLiteral information

Configuration

All the configuration options are located in config.json

Available options:

DumpMethod, DumpField, DumpProperty, DumpAttribute, DumpFieldOffset, DumpMethodOffset, DumpTypeDefIndex
- Whether to output these information to dump.cs
GenerateDummyDll, GenerateScript
- Whether to generate these things
DummyDllAddToken
- Whether to add token in DummyDll
RequireAnyKey
- Whether to press any key to exit at the end
ForceIl2CppVersion, ForceVersion
- If ForceIl2CppVersion is true, the program will use the version number specified in ForceVersion to choose parser for il2cpp binaries (does not affect the choice of metadata parser). This may be useful on some older il2cpp version (e.g. the program may need to use v16 parser on il2cpp v20 (Android) binaries in order to work properly)
ForceDump
- Force files to be treated as dumped
NoRedirectedPointer
- Treat pointers in dumped files as unredirected, This option needs to be true for files dumped from some devices

Common errors

`ERROR: Metadata file supplied is not valid metadata file.`

Make sure you choose the correct file. Sometimes games may obfuscate this file for content protection purposes and so on. Deobfuscating of such files is beyond the scope of this program, so please DO NOT file an issue regarding to deobfuscating.

If your file is libil2cpp.so and you have a rooted Android phone, you can try my other project Zygisk-Il2CppDumper, it can bypass this protection.

`ERROR: Can't use auto mode to process file, try manual mode.`

Please note that the executable file for the PC platform is GameAssembly.dll or *Assembly.dll

You can open a new issue and upload the file, I will try to solve.

`ERROR: This file may be protected.`

Il2CppDumper detected that the executable file has been protected, use GameGuardian to dump libil2cpp.so from the game memory, then use Il2CppDumper to load and follow the prompts, can bypass most protections.

If you have a rooted Android phone, you can try my other project Zygisk-Il2CppDumper, it can bypass almost all protections.

Credits

Jumboperson - Il2CppDumper

mob-sakai/ParticleEffectForUGUI

Render particle effect in UnityUI(uGUI). Maskable, sortable, and no extra Camera/RenderTexture/Canvas.

Particle Effect For UGUI (UI Particle)

📝 Description

This package uses the new APIs MeshBake/MeshTrailBake (introduced in Unity 2018.2) to render particles through CanvasRenderer.
You can render, mask, and sort your ParticleSystems for UI without the need for an additional Camera, RenderTexture, or Canvas.

📌 Key Features

Easy to use: The package is ready to use out of the box.
Sortable: Sort particle effects and other UI elements by sibling index.
Maskable: Supports Mask or RectMask2D.
No extra components required: No need for an additional Camera, RenderTexture, or Canvas.
Trail module support: Fully supports the Trail module.
CanvasGroup alpha support: Integrates with CanvasGroup alpha.
No allocations: Efficiently renders particles without allocations.
Any canvas render mode support: Works with overlay, camera space, and world space.
Any Render pipeline support: Compatible with Universal Render Pipeline (URP) and High Definition Render Pipeline (HDRP).
Disabling domain reload support: Supports disabling Enter Play Mode Options > Reload Domain.
Animatable material properties: Supports changing material properties with AnimationClip (AnimatableProperty).
Multiple materials: Supports 8+ materials.
Correct positioning: Adjusts world space particle positions correctly when changing window size for standalone platforms (Windows, MacOSX, and Linux).
Adaptive scaling: Provides adaptive scaling for UI (AutoScalingMode).
Performance optimization: Mesh sharing group to improve performance.
Particle attractor: Includes a particle attractor component.
Emission position mode: Supports relative/absolute particle emission position modes.
Custom view size: Fixes min/max particle size mismatch.

🎮 Demo

WebGL Demo

WebGL Demo (Cartoon FX & War FX)
- Cartoon FX Free & War FX (by Jean Moreno (JMO)) with UIParticle

⚙ Installation

This package requires Unity 2018.3 or later.

Install via OpenUPM

This package is available on OpenUPM package registry.
This is the preferred method of installation, as you can easily receive updates as they're released.
If you have openupm-cli installed, then run the following command in your project's directory:
```
openupm add com.coffee.ui-particle
```
To update the package, use Package Manager UI (Window > Package Manager) or run the following command with @{version}:
```
openupm add com.coffee.ui-particle@4.9.0
```

Install via UPM (with Package Manager UI)

Click Window > Package Manager to open Package Manager UI.
Click + > Add package from git URL... and input the repository URL: https://github.com/mob-sakai/ParticleEffectForUGUI.git
To update the package, change suffix #{version} to the target version.
- e.g. https://github.com/mob-sakai/ParticleEffectForUGUI.git#4.9.0

Install via UPM (Manually)

Open the Packages/manifest.json file in your project. Then add this package somewhere in the dependencies block:

{
  "dependencies": {
    "com.coffee.ui-particle": "https://github.com/mob-sakai/ParticleEffectForUGUI.git",
    ...
  }
}

To update the package, change suffix #{version} to the target version.
- e.g. "com.coffee.ui-particle": "https://github.com/mob-sakai/ParticleEffectForUGUI.git#4.9.0",

Install as Embedded Package

Download a source code zip file from Releases and extract it.
Place it in your project's Packages directory.

If you want to fix bugs or add features, install it as an embedded package.
To update the package, you need to re-download it and replace the contents.

🚀 Usage

Component: UIParticle

UIParticle controls the ParticleSystems that are attached to its own game objects and child game objects.

Maskable: Does this graphic allow maskable.
Scale: Scale the rendering particles. When the 3D toggle is enabled, 3D scale (x, y, z) is supported.
Animatable Properties: If you want to update material properties (e.g., _MainTex_ST, _Color) in AnimationClip, use this to mark as animatable.
Mesh Sharing: Particle simulation results are shared within the same group. A large number of the same effects can be displayed with a small load. When the Random toggle is enabled, it will be grouped randomly.
- None: Disable mesh sharing.
- Auto: Automatically select Primary/Replica.
- Primary: Provides particle simulation results to the same group.
- Primary Simulator: Primary, but do not render the particle (simulation only).
- Replica: Render simulation results provided by the primary.
Position Mode: Emission position mode.
- Absolute: The particles will be emitted from the world position.
- Relative: The particles will be emitted from the scaled position.
Auto Scaling Mode: How to automatically adjust when the Canvas scale is changed by the screen size or reference resolution.
- None: Do nothing.
- Transform: Transform.lossyScale (=world scale) will be set to (1, 1, 1).
- UIParticle: UIParticle.scale will be adjusted.
Use Custom View: Use this if the particles are not displayed correctly due to min/max particle size.
- Custom view size: Change the bake view size.
Time Scale Multiplier: Time scale multiplier.
Rendering Order: The ParticleSystem list to be rendered. You can change the order and the materials.

NOTE: Press the Refresh button to reconstruct the rendering order based on children ParticleSystem's sorting order and z-position.

Basic Usage

Select GameObject/UI/ParticleSystem to create UIParticle with a ParticleSystem.
Adjust the ParticleSystem as you like.

Usage with Your Existing ParticleSystem Prefab

Select GameObject/UI/ParticleSystem (Empty) to create UIParticle.
Drag and drop your ParticleSystem prefab onto UIParticle.

Usage with `Mask` or `RectMask2D` Component

If you want to mask particles, set a stencil-supported shader (such as UI/UIAdditive) to the material for ParticleSystem. If you use some custom shaders, see the How to Make a Custom Shader to Support Mask/RectMask2D Component section.

Usage with Script

// Instantiate ParticleSystem prefab with UIParticle on runtime.
var go = GameObject.Instantiate(prefab);
var uiParticle = go.AddComponent<UIParticle>();
uiParticle.scale = 100;

// Control by ParticleSystem.
particleSystem.Play();
particleSystem.Emit(10);

// Control by UIParticle.
uiParticle.Play();
uiParticle.Stop();

Component: UIParticleAttractor

UIParticleAttractor attracts particles generated by the specified ParticleSystem.

Particle Systems: Attracts particles generated by the specified ParticleSystems.
Destination Radius: Once the particle is within the radius, the particle lifetime will become 0, and OnAttracted will be called.
Delay Rate: Delay to start attracting. It is a percentage of the particle's start lifetime.
Max Speed: Maximum speed of attracting. If this value is too small, attracting may not be completed by the end of the lifetime, and OnAttracted may not be called.
Movement: Attracting movement type. (Linear, Smooth, Sphere)
Update Mode: Update mode.
- Normal: Update with scaled delta time.
- Unscaled Time: Update with unscaled delta time.
OnAttracted: An event called when attracting is complete (per particle).

Project Settings

Click Edit > Project Settings to open the Project Settings window and then select UI > UI Particle category.

🛠 Development Note

Compares the Baking mesh approach with the conventional approach

Baking mesh approach (=UIParticle)
- ✅ Rendered as is.
- ✅ Maskable.
- ✅ Sortable.
- ✅ Less objects.
Do nothing (=Plain ParticleSystem)
- ✅ Rendered as is.
- ❌ Looks like a glitch.
- ❌ Not maskable.
- ❌ Not sortable.
Convert particle to UIVertex (=UIParticleSystem)
- ✅ Maskable.
- ✅ Sortable.
- ❌ Adjustment is difficult.
- ❌ Requires UI shaders.
- ❌ Difficult to adjust scale.
- ❌ Force hierarchy scalling.
- ❌ Simulation results are incorrect.
- ❌ Trail, rotation of transform, time scaling are not supported.
- ❌ Generate heavy GC every frame.
Use Canvas to sort (Sorting By Canvas )
- ✅ Rendered as is.
- ✅ Sortable.
- ❌ You must to manage sorting orders.
- ❌ Not maskable.
- ❌ More batches.
- ❌ Requires Canvas.
Use RenderTexture
- ✅ Maskable.
- ✅ Sortable.
- ❌ Requires Camera and RenderTexture.
- ❌ Difficult to adjust position and size.
- ❌ Quality depends on the RenderTexture's setting.

Performance test results

Approach	FPS on Editor	FPS on iPhone6	FPS on Xperia XZ
Particle System	43	57	22
UIParticleSystem	4	3	0 (unmeasurable)
Sorting By Canvas	43	44	18
UIParticle	17	12	4
UIParticle with MeshSharing	44	45	30

🔍 FAQ: Why Are My UIParticles Not Displayed Correctly?

If ParticleSystem alone displays particles correctly but UIParticle does not, please check the following points:

Shader Limitation
- UIParticle does not support all built-in shaders except for UI/Default.
- Most cases can be solved by using UI/Additive or UI/Default.
Particles are not masked
- UIParticle is maskable.
- Set Mask or RectMask2D component properly.
- Use maskable/clipable shader (such as UI/Additive or UI/Default)
Particles are too small
- If particles are small enough, they will not appear on the screen.
- Increase the Scale value.
- If you don't want to change the apparent size depending on the resolution, try the Auto Scaling option.
Particles are too many
- No more than 65535 vertices can be displayed (for mesh combination limitations).
- Please set Emission module and Max Particles of ParticleSystem properly.
Particles are emitted off-screen.
- When Position Mode = Relative, particles are emitted from the scaled position of the ParticleSystem, not from the screen point of the ParticleSystem.
- Place the ParticleSystem in the proper position or try Position Mode = Absolute.
Attaching UIParticle to the same object as ParticleSystem
- Transform.localScale will be overridden by the Auto Scaling option.
- It is recommended to place ParticleSystem under UIParticle.
If Transform.localScale contains 0, rendering will be skipped.
Displayed particles are in the correct position but too large/too small
- Adjust ParticleSystem.renderer.Min/MaxParticleSize.

Shader Limitation

The use of UI shaders is recommended.

If you need a simple Additive shader, use the UI/Additive shader instead.
If you need a simple alpha-blend shader, use the UI/Default shader instead.
If your custom shader does not work properly with UIParticle, consider creating a custom UI shader.

Built-in shaders are not supported

UIParticle does not support all built-in shaders except for UI/Default.
If their use is detected, an error is displayed in the inspector.
Use UI shaders instead.

(Unity 2018 or 2019) UV.zw components will be discarded

UIParticleRenderer renders the particles based on UIVertex.
Therefore, only the xy components are available for each UV in the shader. (zw components will be discarded).
So unfortunately, UIParticles will not work well with some shaders.

(Unity 2018 or 2019) Custom vertex streams

When using custom vertex streams, you can fill zw components with "unnecessary" data.
Refer to this issue for more information.

Overheads

UIParticle has some overheads, and the batching depends on uGUI.
When improving performance, keep the following in mind:

If you are displaying a large number of the same effect, consider the Mesh Sharing feature in the UIParticle Component.
- If you don't like the uniform output, consider the Random Group feature.
If you are using multiple materials, you will have more draw calls.
- Consider a single material, atlasing the sprites, and using Sprite mode in the Texture Sheet Animation module in the ParticleSystem.

How to Make a Custom Shader to Support `Mask` and `RectMask2D` Component

Shader tips

Shader "Your/Custom/Shader"
{
    Properties
    {
        // ...
        // #### required for Mask ####
        _StencilComp ("Stencil Comparison", Float) = 8
        _Stencil ("Stencil ID", Float) = 0
        _StencilOp ("Stencil Operation", Float) = 0
        _StencilWriteMask ("Stencil Write Mask", Float) = 255
        _StencilReadMask ("Stencil Read Mask", Float) = 255
        _ColorMask ("Color Mask", Float) = 15
        [Toggle(UNITY_UI_ALPHACLIP)] _UseUIAlphaClip ("Use Alpha Clip", Float) = 0
    }

    SubShader
    {
        Tags
        {
            // ...
        }

        // #### required for Mask ####
        Stencil
        {
            Ref [_Stencil]
            Comp [_StencilComp]
            Pass [_StencilOp]
            ReadMask [_StencilReadMask]
            WriteMask [_StencilWriteMask]
        }
        ColorMask [_ColorMask]
        // ...

        Pass
        {
            // ...
            // #### required for RectMask2D ####
            #include "UnityUI.cginc"
            #pragma multi_compile __ UNITY_UI_CLIP_RECT
            float4 _ClipRect;

            // #### required for Mask ####
            #pragma multi_compile __ UNITY_UI_ALPHACLIP

            struct appdata_t
            {
                // ...
            };

            struct v2f
            {
                // ...
                // #### required for RectMask2D ####
                float4 worldPosition    : TEXCOORD1;
            };
            
            v2f vert(appdata_t v)
            {
                v2f OUT;
                // ...
                // #### required for RectMask2D ####
                OUT.worldPosition = v.vertex;
                return OUT;
            }

            fixed4 frag(v2f IN) : SV_Target
            {
                // ...
                // #### required for RectMask2D ####
                #ifdef UNITY_UI_CLIP_RECT
                    color.a *= UnityGet2DClipping(IN.worldPosition.xy, _ClipRect);
                #endif

                // #### required for Mask ####
                #ifdef UNITY_UI_ALPHACLIP
                    clip (color.a - 0.001);
                #endif

                return color;
            }
            ENDCG
        }
    }
}

🤝 Contributing

Issues

Issues are incredibly valuable to this project:

Ideas provide a valuable source of contributions that others can make.
Problems help identify areas where this project needs improvement.
Questions indicate where contributors can enhance the user experience.

Pull Requests

Pull requests offer a fantastic way to contribute your ideas to this repository.
Please refer to CONTRIBUTING.md and develop branch for guidelines.

Support

This is an open-source project developed during my spare time.
If you appreciate it, consider supporting me.
Your support allows me to dedicate more time to development. 😊

License

Author

mob-sakai

abpframework/abp

Open-source web application framework for ASP.NET Core! Offers an opinionated architecture to build enterprise software solutions with best practices on top of the .NET. Provides the fundamental infrastructure, cross-cutting-concern implementations, startup templates, application modules, UI themes, tooling and documentation.

🔹 🔹 🔹 🔹 🔹 🔹 🔹 🔹

ABP offers an opinionated architecture to build enterprise software solutions with best practices on top of the .NET and the ASP.NET Core platforms. It provides the fundamental infrastructure, production-ready startup templates, pre-built application modules, UI themes, tooling, guides and documentation to implement that architecture properly and automate the details and repetitive works as much as possible.

Getting Started

The Getting Started guide can be used to create and run ABP-based solutions with different options and details.
Quick Start is a single-part, quick-start tutorial to build a simple application with the ABP Framework. Start with this tutorial if you want to understand how ABP works quickly.
Web Application Development Tutorial is a complete tutorial on developing a full-stack web application with all aspects of a real-life solution.
Modular Monolith Application: A multi-part tutorial that demonstrates how to create application modules, compose and communicate them to build a monolith modular web application.
Microservice Tutorial: A multi-part guide that walks you through building a microservice solution with ABP, from creating independent services and enabling inter-service communication to exposing them through an API Gateway and generating CRUD pages with ABP Suite.

What ABP Provides?

ABP bridges the gap between ASP.NET Core and real-world business application requirements, and makes you focus on your own business code.

The following diagram contains the core components of the ABP Platform and shows how ABP sits between ASP.NET Core and Your Application:

Architecture

ABP offers a complete architectural model to build modern enterprise software solutions. Here, the fundamental architectural structures offered and first-class supported by ABP:

Infrastructure

There are a lot of infrastructure features provided by the ABP Framework to achieve real-world scenarios easier, like Event Bus, Background Job System, Audit Logging, BLOB Storing, Data Seeding, Data Filtering, and much more.

See ABP Framework features

Cross-Cutting Concerns

ABP also simplifies (and even automates wherever possible) cross-cutting concerns and common non-functional requirements like Exception Handling, Validation, Authorization, Localization, Caching, Dependency Injection, Setting Management, etc.

Application Modules

ABP is a modular framework and the application modules provide pre-built application functionalities.

Some examples:

Account: Provides UI for the account management and allows user to login/register to the application.
CMS Kit: Brings CMS (Content Management System) capabilities to your application.
Identity: Manages organization units, roles, users and their permissions based on the Microsoft Identity library.
OpenIddict: Integrates to OpenIddict library and provides a management UI.
SaaS: Manages tenants and editions for a multi-tenant (SaaS) application.

See all official modules.

Startup Templates

The Startup templates are pre-built Visual Studio solution templates. You can create your own solution based on these templates to immediately start your development.

Tooling

ABP provides CLI and UI tools to simplify your daily development work flows.

ABP Studio

ABP Studio is a cross-platform desktop application for ABP developers.

It is well integrated to the ABP Framework and aims to provide a comfortable development environment for you by automating things, providing insights about your solution, making develop, run and deploy your solutions much easier.

ABP Suite

ABP Suite allows you to automatically generate web pages in a matter of minutes.

ABP CLI

ABP CLI is a command line tool to perform common operations for ABP based solutions.

Mastering ABP Framework Book

This book will help you to gain a complete understanding of the ABP Framework and modern web application development techniques. It is written by the creator and team lead of the ABP Framework. You can buy from Amazon or Packt Publishing. Find further info about the book at abp.io/books/mastering-abp-framework.

The Community

ABP Community Web Site

The ABP Community is a central hub to publish articles and share knowledge about the ABP Framework.

Blog

Follow the ABP Blog to learn the latest happenings in the ABP Framework.

Samples

See the sample projects built with the ABP Framework.

Want to Contribute?

ABP is a community-driven open-source project. See the contribution guide if you want to participate in this project.

Official Links

Support ABP

GitHub repository stars are an important indicator of popularity and the size of the community. If you like ABP Framework, support us by clicking the star ⭐ on the repository.

Discord Server

We have a Discord server where you can chat with other ABP users. Share your ideas, report technical issues, showcase your creations, share the tips that worked for you and catch up with the latest news and announcements about ABP Framework. Join 👉 https://abp.io/join-discord.

SubtitleEdit/subtitleedit

the subtitle editor :)

# Subtitle Edit

The subtitle editor 😃

🌐 Documentation & FAQ

http://subtitleedit.github.io/subtitleedit/

🚀 Automated Builds

You can find the latest cross-platform builds here:
👉 Releases

💻 System Requirements

Windows

Minimum: Windows 10 or newer

macOS

Minimum macOS version: 12 (Monterey) or newer
Dependencies for Intel macs (install via MacPorts):
- mpv
  - MacPorts: sudo port install mpv
- ffmpeg
  - Homebrew: sudo port install ffmpeg

Installing Subtitle Edit on macOS (Unsigned App)

Because Subtitle Edit is not signed with an Apple developer certificate, macOS will block it by default. You can still install and run it by following these steps:

Download and double-click the .dmg file to mount it.
In the window that appears, drag Subtitle Edit.app into your Applications folder.
Open the Terminal app (you can find it via Spotlight or in /Applications/Utilities/).

In Terminal, run the following commands to remove macOS’s security quarantine flag and add adhoc code signature:

sudo xattr -rd com.apple.quarantine "/Applications/Subtitle Edit.app"

sudo codesign --force --deep --sign - "/Applications/Subtitle Edit.app"

Linux

Flatpak (any distribution)

A Flatpak package is available from the Releases page. It bundles all required dependencies (mpv, ffmpeg) — no separate installation needed.

flatpak install SubtitleEdit-linux-x64.flatpak
flatpak run dk.nikse.subtitleedit

Native packages

Requires mpv and ffmpeg (ffmpeg is normally already installed) to enable video functionality.

Debian/Ubuntu

sudo apt update && sudo apt install -y mpv libmpv-dev ffmpeg

Arch

sudo pacman -S mpv ffmpeg

Fedora

sudo dnf install mpv-libs ffmpeg

openSUSE

sudo zypper install libmpv1 ffmpeg

⚙️ Note: The provided builds are self-contained and do not require a separate .NET installation.

🔒 Privacy

Subtitle Edit is an offline, open-source application.
It does not collect, store, transmit, or analyze the content of your subtitle files, media files, or any associated metadata — not for analytics, not for model training, and not for any other secondary purpose, now or in the future.

All core features, including editing, converting, video playback, and local auto-backup, run entirely on your device.

If you choose to use optional third-party online services within Subtitle Edit (such as translation, speech-to-text, text-to-speech, OCR, or dictionary/lookups), only the minimal data required to perform that specific request is sent directly to the selected provider. Any such data transfer is governed by the provider’s own privacy policy, and Subtitle Edit does not retain or forward this data in any way.

Subtitle Edit aims to give you full control over your files — your data stays yours.

❤️ Support the Project

If you’d like to support the continued development of Subtitle Edit, please consider donating:

thebookisclosed/ViVe

C# library and console app for using new feature control APIs available in Windows 10 version 2004 and newer

ViVe

ViVe is a C# library you can use to make your own programs that interact with the A/B feature experiment mechanism found in Windows 10 & newer.

The FeatureManager class should cover most feature management needs with the added benefit of some struct heavy lifting being done for you. Boot persistence and LKG management is offered exclusively by this class as it had to be reimplemented.

In case you'd like to talk to NTDLL exports directly, you can use NativeMethods.

ViVeTool

ViVeTool is both an example of how to use ViVe, as well as a straightforward tool for power users which want to use the new APIs instantly.

Compatibility

In order to use ViVe, you must be running Windows 10 build 18963 or newer.

GitHub C# Weekly Trending

huynhsontung/Screenbox

Screenbox

Install

Contribute

For Contributors

Quick Start for Developers

Translation

files-community/Files

Installing and running Files

Building from source

Contributing to Files

Screenshots

DevToys-app/DevToys

DevToys

Introduction

Rate on Microsoft Store as of 5/7/2024

Contribute

Privacy Policy

Third-Party Softwares

License

Special Thanks

Code contributors

Designers

DevToysMac developer

CoplayDev/unity-mcp

Proudly sponsored and maintained by Coplay -- the best AI assistant for Unity.

And don't miss Godot AI 🤖, the new free MCP/AI project from the makers of MCP for Unity!

Quick Start

Prerequisites

1. Install the Unity Package

2. Start the Server & Connect

Key Features

Available Tools

Available Resources

Star History

Unity AI Tools by Coplay

Disclaimer

2dust/v2rayN

v2rayN

How to use

Telegram Channel

microsoft/semantic-kernel

Semantic Kernel

What is Semantic Kernel?

System Requirements

Key Features

Installation

Python

.NET

Java

Quickstart

Basic Agent - Python

Basic Agent - .NET

Agent with Plugins - Python

Agent with Plugin - .NET

Multi-Agent System - Python

Where to Go Next

API References

Troubleshooting

Common Issues

Getting Help

Join the community

Contributor Wall of Fame

Code of Conduct

License

LorisYounger/VPet

VPet-Simulator

虚拟桌宠模拟器 详细介绍

超多的互动和动画

一些动画例子:

摸头

提起

爬墙

免费

开源

支持创意工坊

反馈&建议&联系我们

软件结构

参与开发

虚拟桌宠模拟器详细介绍