Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Показати більше📈 Аналітичний огляд Telegram-каналу Github Top Repositories
Канал Github Top Repositories (@githubre) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 15 233 підписників, посідаючи 13 394 місце в категорії Освіта та 26 058 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 15 233 підписників.
За останніми даними від 07 листопада, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 379, а за останні 24 години на 11, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 0.92%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.62% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 140 переглядів. Протягом першої доби публікація в середньому набирає 95 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 1.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як repository, fork, programming, statistic, description.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Завдяки високій частоті оновлень (останні дані отримано 08 листопада, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.
15 233
Підписники
+1124 години
+767 днів
+37930 днів
Архів дописів
15 232
🔍 Deep-diving into colbymchenry/codegraph — fresh off the trending list.
🔗 https://github.com/colbymchenry/codegraph
📝 Pre-indexed code knowledge graph for Claude Code — fewer tokens, fewer tool calls, 100% local
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Supercharge your coding experience with CodeGraph, a semantic code intelligence tool that enhances Claude Code. Key features include smart context building, full-text search, impact analysis, and framework-aware routes, supporting
19+ languages.
To get started, run the installer with npx @colbymchenry/codegraph, then initialize your project with codegraph init -i. This sets up a local knowledge graph that enables faster and smarter code exploration, with 94% fewer tool calls and 77% faster exploration on average.
Technical highlights include a SQLite database, file watcher with native OS events, and support for web-framework routing files. CodeGraph is designed for developers and teams looking to improve their coding efficiency and collaboration.
Takeaway: CodeGraph is a game-changer for coding productivity, providing a 100% local solution that's both powerful and easy to use.
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🧠 Channel: https://t.me/GithubRe
15 232
📌 Spotted on GitHub Trending: pranshuparmar/witr — let's break it down.
🔗 https://github.com/pranshuparmar/witr
📝 Why is this running?
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witr is a tool that answers the question "Why is this running?" by explaining where a running process came from, how it was started, and what chain of systems is responsible for it existing. It provides a human-readable output or an interactive TUI dashboard. The tool is distributed as a single static binary for Linux, macOS, FreeBSD, and Windows, and can be installed via various package managers, such as
Homebrew, Conda, and Winget. witr is designed for system administrators, developers, and power users who need to understand the causality behind running processes. With witr, you can easily identify the root cause of a running process and take necessary actions. Get to the root of the matter with witr - it's like having a superpower for your system debugging!
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🧠 Channel: https://t.me/GithubRe
15 232
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15 232
🔥 ruvnet/RuView is trending — and it deserves your attention.
🔗 https://github.com/ruvnet/RuView
📝 π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
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RuView is a WiFi sensing platform that transforms radio signals into spatial intelligence, allowing for detection of people, measurement of breathing and heart rate, tracking of movement, and monitoring of rooms - all without cameras or wearables. Key features include presence and occupancy detection, vital sign measurement, activity recognition, environment mapping, and sleep quality monitoring.
Usage involves a mesh of low-cost ESP32 sensors that capture Channel State Information (CSI) and turn it into actionable data. docker pull ruvnet/wifi-densepose:latest
docker run -p 3000:3000 ruvnet/wifi-densepose:latest
15 232
🌟 tinyhumansai/openhuman caught my eye on GitHub Trending today.
🔗 https://github.com/tinyhumansai/openhuman
📝 Your Personal AI super intelligence. Private, Simple and extremely powerful.
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OpenHuman is your personal AI superintelligence, designed to integrate with you in your daily life. It's private, simple, and extremely powerful. This open-source agentic assistant provides a clean desktop experience and short onboarding paths, taking you from install to a working agent in a few clicks.
Key features include:
- Simple, UI-first & Human: a clean desktop experience with a desktop mascot that speaks and reacts to its surroundings
- 118+ third-party integrations with one-click OAuth, including Gmail, Notion, GitHub, and more
- Memory Tree + Obsidian Wiki: a local-first knowledge base built from your data and activity
- Batteries included: web search, web-fetch scraper, coder toolset, and native voice are wired in by default
- Smart token compression (TokenJuice): reducing cost and latency by up to 80%
Technical highlights include:
curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bashirm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex
15 232
💡 supertone-inc/supertonic just hit the trending charts — here's why it matters.
🔗 https://github.com/supertone-inc/supertonic
📝 Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
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Supertonic is a lightning-fast, on-device multilingual text-to-speech system designed for local inference with minimal overhead. It runs entirely on your device, ensuring complete privacy and no cloud dependency.
Key features include:
-
31-language support with language-agnostic processing,
- blazingly fast synthesis,
- high-quality 44.1kHz audio output,
- expression tags for natural human nuance,
- and multi-runtime SDKs for various platforms.
Technical highlights include the use of ONNX Runtime for cross-platform inference, browser support via onnxruntime-web, and batch processing for improved throughput.
The primary audience for Supertonic includes developers and businesses seeking a fast, private, and versatile text-to-speech solution for various applications.
In a nutshell: Supertonic is the go-to choice for fast, private, and high-quality on-device text-to-speech synthesis.
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🧠 Channel: https://t.me/GithubRe
15 232
🔥 Anil-matcha/Open-Generative-AI is trending — and it deserves your attention.
🔗 https://github.com/Anil-matcha/Open-Generative-AI
📝 Open-source alternative to AI video platforms — Free AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
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Open Generative AI is a free, open-source AI image, video, cinema, and lip sync studio that offers full creative freedom with no content filters or guardrails. It supports text-to-image, image-to-image, text-to-video, image-to-video, and audio-driven lip sync generation across 200+ state-of-the-art models. The platform is self-hosted, allowing users to keep their data on their machine, and is extensible, enabling users to add their own models, modify the UI, and build on top of it.
The platform has a hosted version that can be accessed directly in the browser, with no installation required. It also has a desktop app that can be downloaded and installed on various platforms, including macOS, Windows, and Linux.
The desktop app supports two independent local engines:
sd.cpp and Wan2GP. The sd.cpp engine is bundled with the app and can run on the same machine, while the Wan2GP engine requires a separate server with a CUDA or ROCm GPU.
The platform is designed for users who want full control over their creative workflow and are looking for a free and open-source alternative to AI video platforms. It's perfect for artists, designers, and creators who want to generate high-quality AI images and videos without any restrictions.
In short, Open Generative AI is a powerful tool that offers unlimited creative possibilities with its open-source and self-hosted approach, making it an attractive option for those seeking a free and flexible AI image and video generation platform. Unleash your creativity with Open Generative AI — where art meets AI.
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🧠 Channel: https://t.me/GithubRe15 232
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15 232
📌 Spotted on GitHub Trending: obra/superpowers — let's break it down.
🔗 https://github.com/obra/superpowers
📝 An agentic skills framework & software development methodology that works.
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Superpowers is a software development methodology for coding agents, built on composable skills and initial instructions. It enables agents to ask questions, create plans, and implement code in a systematic way. The key features include test-driven development, systematic debugging, and collaboration tools.
Usage involves installing the plugin for your chosen coding agent, such as
Claude Code or Codex CLI, and then following the workflow: brainstorming, using-git-worktrees, writing-plans, and executing-plans.
Technical highlights include a skills library with testing, debugging, and collaboration skills, as well as a meta skill for creating new skills. The target audience is developers who want to improve their coding productivity and quality.
The punchy one-liner takeaway: Superpowers turns your coding agent into a full-fledged development partner.
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🧠 Channel: https://t.me/GithubRe15 232
💡 K-Dense-AI/scientific-agent-skills just hit the trending charts — here's why it matters.
🔗 https://github.com/K-Dense-AI/scientific-agent-skills
📝 A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.
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The Scientific Agent Skills repository provides 135 ready-to-use scientific and research skills for any AI agent that supports the open
Agent Skills standard. These skills enable your AI agent to seamlessly work with specialized scientific libraries, databases, and tools across multiple scientific domains.
Key features include:
- 100+ scientific and financial databases access
- 70+ optimized Python package skills with curated documentation and examples
- 9 scientific integration skills for platforms like Benchling and OMERO
- 30+ analysis and communication tools for tasks like literature review and scientific writing
Usage is straightforward: simply install the skills using npx or the GitHub CLI, and your AI agent will automatically discover and use them.
Technical highlights include a unified database-lookup skill for accessing multiple databases and pre-documented, higher-performing paths for optimized Python packages.
The target audience is researchers and scientists looking to transform their AI coding agent into an 'AI Scientist' capable of executing complex multi-step scientific workflows.
One-liner takeaway: With Scientific Agent Skills, you can turn your AI agent into a powerful research assistant and accelerate your scientific discovery across biology, chemistry, medicine, and more.
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🧠 Channel: https://t.me/GithubRe15 232
🎯 oven-sh/bun landed on trending. Worth a proper look.
🔗 https://github.com/oven-sh/bun
📝 Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
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Bun is an all-in-one toolkit for JavaScript and TypeScript apps, designed as a drop-in replacement for Node.js. It features a fast JavaScript runtime, written in Zig and powered by JavaScriptCore, reducing startup times and memory usage. The
bun command-line tool includes a test runner, script runner, and Node.js-compatible package manager.
Key features include support for TS and JSX out-of-the-box, a built-in bun test runner, and a bun install package manager. It's easy to install on Linux, macOS, and Windows, with various methods available, including a simple curl script.
The Bun toolkit is suitable for developers looking for a fast, efficient, and easy-to-use alternative to Node.js. With its extensive documentation and active community, Bun is a great choice for building and deploying JavaScript and TypeScript applications.
In short, Bun is the ultimate toolkit for JavaScript and TypeScript developers, making it fast, easy, and fun to build and deploy apps - and that's a recipe for success!
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🧠 Channel: https://t.me/GithubRe15 232
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15 232
⚡ joeseesun/qiaomu-anything-to-notebooklm is making waves. Here's the full picture.
🔗 https://github.com/joeseesun/qiaomu-anything-to-notebooklm
📝 Claude Skill: Multi-source content processor for NotebookLM. Supports WeChat articles, web pages, YouTube, PDF, Markdown, search queries → Podcast/PPT/MindMap/Quiz etc.
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Anything → NotebookLM 是一个强大的工具，能将任何内容转换为多种格式，如播客、PPT、思维导图、Quiz 等。它支持 15+ 种内容源，包括微信公众号、X/Twitter、YouTube 视频、播客、电子书、Office 文档等。
核心特性 包括自动识别内容源类型、自动调用对应工具、付费墙自动绕过、全自动处理等。它还支持混合多种内容源、深度分析模式、飞书文档输出等高级用法。
技术架构 包括 Claude Code Skill、NotebookLM API、MCP 工具、markitdown 文件转换等。
使用示例 包括付费文章转播客、播客转 PPT、电子书转深度分析等。
总的来说，Anything → NotebookLM 是一个非常有用的工具，可以帮助你快速将任何内容转换为多种格式，非常适合研究、学习、工作等场景。
结论：使用 Anything → NotebookLM，可以快速将任何内容转换为多种格式，节省时间，提高效率。 赶快试试吧！
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🧠 Channel: https://t.me/GithubRe15 232
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15 232
🎯 mattpocock/skills landed on trending. Worth a proper look.
🔗 https://github.com/mattpocock/skills
📝 Skills for Real Engineers. Straight from my .claude directory.
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The mattpocock/skills GitHub repository offers a collection of skills designed to enhance your workflow with coding agents. The purpose of these skills is to tackle common issues such as misalignment, verbosity, and poor code quality.
Key features include grilling sessions to ensure you and the agent are on the same page, a shared language to reduce verbosity, and feedback loops to improve code quality.
To get started, simply run the
skills.sh installer and follow the prompts to set up the skills you want. The skills are designed to be small, easy to adapt, and composable, working with any model.
Technical highlights include the use of npx skills@latest add mattpocock/skills for installation and the /setup-matt-pocock-skills command to configure your skills.
These skills are suitable for developers and engineers looking to improve their workflow with coding agents.
In short, mattpocock/skills helps you work better with coding agents - try it and supercharge your development workflow!
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🧠 Channel: https://t.me/GithubRe