Github Top Repositories
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
نمایش بیشتر📈 تحلیل کانال تلگرام Github Top Repositories
کانال Github Top Repositories (@githubre) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 14 214 مشترک است و جایگاه 13 963 را در دسته آموزش و رتبه 28 251 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 14 214 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 30 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 288 و در ۲۴ ساعت گذشته برابر 45 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 1.02% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.67% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 145 بازدید دریافت میکند. در اولین روز معمولاً 95 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 1 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند repository, fork, programming, statistic, description تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 31 اوت, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کردهاند.
kimi command is used to interact with the agent, and various sub-commands are available for tasks like MCP server management.
kimi mcp add --transport http context7 https://mcp.context7.com/mcp --header "CONTEXT7_API_KEY: ctx7sk-your-key"
Kimi CLI is evolving into Kimi Code CLI, the next-generation terminal AI agent, and existing installations will be migrated automatically.
Takeaway: Kimi CLI is a powerful tool for developers, but its evolution into Kimi Code CLI means it's time to upgrade and experience the latest advancements in terminal-based AI assistance.
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🧠 Channel: https://t.me/GithubRecua command-line interface and Multi-Computer Protocol (MCP) server provide a unified way to drive computers across different operating systems.
Key features include:
- Cua Drivers: Background computer-use on macOS, Windows, and Linux
- Cua Sandbox: Agent-ready sandboxes for any OS, with a unified API for VMs or container images
- Cua Bench: Benchmarks and RL environments for evaluating and training computer-use models
- Lume: macOS virtualization on Apple Silicon with near-native performance
Technical highlights include support for:
from cua import Sandbox, Image
async with Sandbox.ephemeral(Image.linux()) as sb:
# Interact with the sandbox
result = await sb.shell.run("echo hello")
screenshot = await sb.screenshot()
Cua is designed for researchers, developers, and organizations working on AI, computer vision, and human-computer interaction. The project provides extensive documentation, a blog, and community support through Discord and GitHub Issues.
Get started with Cua today and unlock the full potential of computer-use 2.0!
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🧠 Channel: https://t.me/GithubRebash command:
curl -fsSL https://jcode.sh/install | bash
or using powershell:
irm https://jcode.sh/install.ps1 | iex
jcode boasts impressive technical highlights, including optimized RAM usage and fast boot-up times. Its performance is significantly better than other similar tools, making it an attractive choice for developers.
The target audience for jcode appears to be developers looking for a high-performance, customizable coding agent that can handle multi-session workflows.
In a nutshell, jcode is the ultimate coding sidekick that will revolutionize your coding experience - code smarter, not harder, with jcode!
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🧠 Channel: https://t.me/GithubReAI LLM Conversations, multimodal support, agent platforms, and multi-platform compatibility with QQ, Telegram, Slack, and more. AstrBot also offers plugin extensions with over 1000 plugins available for one-click installation.
To get started, you can choose from various deployment methods, including one-click deployment with uv, cloud deployment with RainYun, Docker deployment, or desktop application deployment. AstrBot supports multiple messaging platforms and model services, making it a versatile and powerful tool for building conversational AI applications.
Whether you're building a personal AI companion or an enterprise knowledge base, AstrBot enables you to create custom AI solutions with ease. So why wait? Dive into the world of conversational AI with AstrBot and discover the endless possibilities it has to offer: AstrBot is the ultimate conversational AI platform to unlock your chatbot's full potential!
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🧠 Channel: https://t.me/GithubReWindows Terminal, you can install it from the Microsoft Store, or manually download and install it from the GitHub repository. There are also unofficial install methods available via Chocolatey and Scoop.
Some of the key features of Windows Terminal include:
* Support for tabs and rich text
* Globalization and configurability
* Theming and styling
* A new DirectWrite-based text layout and rendering engine
* A text buffer capable of storing both UTF-16 and UTF-8
The Windows Terminal is designed to be highly customizable, with a wide range of settings and options available. It's also designed to be fast and efficient, with a focus on performance and reliability.
Whether you're a developer, a power user, or just someone who wants a better command-line experience, Windows Terminal is definitely worth checking out. With its modern design, rich features, and high customizability, it's an excellent choice for anyone looking for a powerful and flexible terminal application.
One-liner takeaway: Windows Terminal is a game-changer for command-line users, offering a modern, feature-rich, and highly customizable terminal experience that's fast, efficient, and reliable.
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🧠 Channel: https://t.me/GithubReJavaScript, Python, and Node, and has SDKs and libraries for popular frameworks like React and Angular.
Whether you're a product manager, developer, or data analyst, PostHog has the tools you need to build a successful product. So why not give it a try and see how PostHog can help you drive growth and revenue? With its powerful features and flexible pricing, PostHog is the perfect choice for anyone looking to take their product to the next level: build better products, faster.
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🧠 Channel: https://t.me/GithubReinstall the SDK using the provided commands, then define agent behavior and let Copilot handle the rest. The SDK communicates with the Copilot CLI server via JSON-RPC, managing the CLI process lifecycle automatically.
Key features include support for BYOK (Bring Your Own Key), custom agents, skills, and tools, as well as multiple authentication methods. The SDK is production-ready and follows semantic versioning.
Whether you're a developer looking to streamline your workflow or a business seeking to automate tasks, the GitHub Copilot SDK is a powerful tool to consider. With its robust features and ease of use, it's an ideal solution for anyone looking to harness the power of Copilot in their application.
The GitHub Copilot SDK is a game-changer for developers: it puts the power of AI directly into your code.
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🧠 Channel: https://t.me/GithubResudo xattr -cr /Applications/Jellium\ Desktop.app.
From a development perspective, the project utilizes just as a command runner, providing various recipes for building, testing, and maintaining the app. Some of the available recipes include:
just build
just run
just test
just fmt
The app is designed for Jellyfin users looking for a seamless desktop experience.
Jellium Desktop: stream your media, simplified.
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🧠 Channel: https://t.me/GithubResearch: multi-engine web search with rank fusion and ML reranking
- fetch: load URLs through a tiered router with auto-escalation to a headless browser engine
- crawl: multi-page crawl with per-domain rate limits and robots.txt respect
- extract: structured data extraction from pages, including tables, metadata, and JSON-LD
Technical highlights:
- Runs on Node ≥ 20 with ~1.5 GB of free disk space
- Supports various platforms, including macOS, Linux, and Windows
- npx wigolo init command sets up the local engine, downloading the browser engine and on-device models
- npx wigolo doctor checks the health of the setup
Audience:
- AI agent developers
- Users of Claude Code, Cursor, Codex, and other supported agents
- Anyone looking for a local-first web intelligence solution
Takeaway: With wigolo, you can empower your AI agents with a robust, local-first web intelligence layer, free from API keys, cloud dependencies, and metered bills.
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🧠 Channel: https://t.me/GithubReVoicebox is built with Tauri (Rust) and has a REST API plus a built-in MCP server for integration into other apps and agents.
The target audience for Voicebox appears to be developers, content creators, and anyone interested in AI-powered voice technology.
In a nutshell, Voicebox is a powerful tool that puts you in control of your voice data and offers a wide range of features for voice cloning, generation, and input - and it's all free and open-source.
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🧠 Channel: https://t.me/GithubRePython, TypeScript, Rust, and Julia code examples.
The key features of this curriculum include:
* A focus on building AI systems from scratch, rather than just using pre-built libraries and frameworks
* A comprehensive coverage of AI topics, including math foundations, machine learning, deep learning, and autonomous systems
* A linear learning structure, with each lesson building on the previous one
* A variety of code examples in different programming languages
To get started with the curriculum, you can choose from three options:
* Read the lessons online
* Clone the repository and run the code examples
* Use the built-in agent skills to find your level and get personalized recommendations
The curriculum is designed for anyone who wants to learn AI engineering, from beginners to experienced practitioners. The prerequisites are minimal, requiring only basic programming skills and a willingness to learn.
The technical highlights of the curriculum include:
* A focus on building reusable tools and artifacts, rather than just completing exercises
* A comprehensive coverage of AI topics, including math foundations, machine learning, and deep learning
* A variety of code examples in different programming languages
Overall, the AI Engineering from Scratch curriculum is a valuable resource for anyone who wants to learn AI engineering skills from the ground up. With its comprehensive coverage of AI topics, linear learning structure, and focus on building reusable tools and artifacts, it provides a unique and valuable learning experience.
Takeaway: With AI Engineering from Scratch, you don't just learn AI - you build it, from scratch, and ship reusable tools and artifacts that you can use in your daily workflow.
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🧠 Channel: https://t.me/GithubRekt-kernel, which offers CPU-optimized kernel operations for heterogeneous LLM inference. This includes features like AMX/AVX acceleration, MoE optimization, and quantization support.
For fine-tuning, KTransformers integrates with LLaMA-Factory, allowing for ultra-large MoE model fine-tuning. This integration supports multi-backend, ultra-large MoE models, and faster training speeds.
The project is developed and maintained by several teams, including the MADSys Lab at Tsinghua University and community contributors. KTransformers welcomes contributions and provides support through GitHub issues and a WeChat group.
To get started, users can follow the quick-start guides for both inference and fine-tuning, which include installing the necessary packages and launching the training process.
KTransformers is ideal for researchers and developers working with large language models, particularly those interested in efficient inference and fine-tuning on various hardware configurations.
In summary, KTransformers is a powerful tool for optimizing LLM inference and fine-tuning - experience the future of AI with KTransformers.
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🧠 Channel: https://t.me/GithubRe