Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Show more📈 Analytical overview of Telegram channel Github Top Repositories
Channel Github Top Repositories (@githubre) in the English language segment is an active participant. Currently, the community unites 15 211 subscribers, ranking 13 464 in the Education category and 26 132 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 15 211 subscribers.
According to the latest data from 04 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 407 over the last 30 days and by 27 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.93%. Within the first 24 hours after publication, content typically collects 0.62% reactions from the total number of subscribers.
- Post reach: On average, each post receives 142 views. Within the first day, a publication typically gains 95 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as repository, fork, programming, statistic, description.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Thanks to the high frequency of updates (latest data received on 05 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
15 211
Subscribers
+2724 hours
+807 days
+40730 days
Posts Archive
15 212
🔍 Deep-diving into openinterpreter/openinterpreter — fresh off the trending list.
🔗 https://github.com/openinterpreter/openinterpreter
📝 A coding agent for low-cost models
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The Open Interpreter is a coding agent that shines with low-cost models. Key features include a harness emulation system that gets the most out of these models, a
/harness command to switch between different harnesses, and a built-in QA skill for testing web and native apps.
To get started, simply run a curl or irm command to install, then type i or interpreter to start a session. The project has a strong focus on documentation, with guides covering everything from installation to configuration and CLI references.
With its robust set of features, including native sandboxing, provider switching, and local config storage, Open Interpreter is perfect for developers and power users looking to streamline their workflow.
Embracing the power of open-source and community-driven development, Open Interpreter is licensed under Apache-2.0 and has a thriving community around it.
Takeaway: Open Interpreter is an ultra-versatile coding agent that's redefining the limits of low-cost models, one line of code at a time.
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🧠 Channel: https://t.me/GithubRe15 212
🚀 Meet PostHog/posthog: a gem from today's GitHub trending list.
🔗 https://github.com/PostHog/posthog
📝 🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.
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PostHog is an all-in-one, open source platform for building successful products, providing a wide range of tools to understand user behavior and analyze data. Its key features include product analytics, web analytics, session replays, feature flags, experiments, and error tracking. To get started, you can sign up for
PostHog Cloud or self-host the open-source version using Docker. The platform offers a generous monthly free tier and has a vast range of SDKs and libraries for popular languages and frameworks. Whether you're a product manager, developer, or engineer, PostHog is designed to help you build better products and drive growth. So, why wait? Join the PostHog community today and start building a better product tomorrow!
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🧠 Channel: https://t.me/GithubRe15 212
🔥 OpenCut-app/OpenCut is trending — and it deserves your attention.
🔗 https://github.com/OpenCut-app/OpenCut
📝 The open-source CapCut alternative
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OpenCut is a free and open source video editor for web, desktop, and mobile. It's currently being rewritten from the ground up with exciting new features like an Editor API, first-class third party plugins, and a plugin-first architecture. The new version will have a
Rust core and offer desktop, mobile, and browser support from one codebase. Other features include an MCP server for AI agents, headless mode for automation and batch rendering, and a scripting tab directly in the editor.
To get started with development, you can install proto and run the application in web:dev, api:dev, or desktop:dev modes. The project is still in the process of being designed, but you can join the Discord or open an issue to follow along and ask questions.
OpenCut is supported by companies that believe in open source creator tools, such as fal.ai. The project is licensed under MIT.
One-liner takeaway: OpenCut is revolutionizing video editing with its open source, plugin-first approach, and soon you'll be able to experience the future of video editing for free.
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🧠 Channel: https://t.me/GithubRe15 212
🎯 Nutlope/hallmark landed on trending. Worth a proper look.
🔗 https://github.com/Nutlope/hallmark
📝 Anti-AI-slop design skill for Claude Code, Cursor, and Codex.
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Hallmark is a design skill that generates unique, AI-produced web pages that don't look like they were made by a machine. With twenty themes and a range of customization options, Hallmark uses a set of design rules to create self-contained HTML + CSS pages. The skill has four main verbs: build, audit, redesign, and study, allowing users to
hallmark build, hallmark audit <target>, hallmark redesign <target>, or hallmark study <screenshot | URL>. Hallmark is designed for use with Claude Code, Cursor, and Codex, and can be installed using npx skills add nutlope/hallmark. The result is a unique, human-like design that refuses to be bound by typical AI-generated templates. With Hallmark, every brief gets a unique design - no two pages are alike! One-liner takeaway: Hallmark is the AI design skill that breaks the mold of boring, cookie-cutter templates.
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🧠 Channel: https://t.me/GithubRe
15 212
🔥 apache/ossie is trending — and it deserves your attention.
🔗 https://github.com/apache/ossie
📝 Apache Ossie, industry wide specification effort to standardize how we exchange semantic metadata across analytics, AI and BI platforms, providing a vendor neutral, single source of truth for semantic data
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Apache Ossie is a collaborative effort to standardize semantic model exchange and utilization across data analytics, AI, and BI tools. The goal is to establish a vendor-agnostic semantic model specification for unparalleled interoperability and efficiency. This project provides a single JSON- and YAML-based specification that tools can read and write, addressing semantic fragmentation.
Key features include a
core-spec for the Ossie specification, converters for translating between Ossie and other formats, and examples of semantic models. The project also offers tooling for validation against the Ossie schema.
Audience: data analysts, AI professionals, and BI practitioners seeking to streamline their workflows. To get involved, contribute code, participate in discussions, or join the Slack community.
Here's a glimpse of the code:
{
"spec": "ossie-spec"
}15 212
🌟 hasaneyldrm/exercises-dataset caught my eye on GitHub Trending today.
🔗 https://github.com/hasaneyldrm/exercises-dataset
📝 1,324-exercise fitness dataset — animation GIFs, 180×180 thumbnails, muscle-group & equipment data, and step-by-step instructions in 6 languages. The exercise data layer behind the LogPress app.
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The exercises-dataset repository, created by hasaneyldrm, is a comprehensive collection of 1,324 fitness exercises, each with an animation GIF, 180×180 thumbnail image, category, body-part, equipment, target and muscle-group data, and step-by-step instructions in 9 languages. The dataset is designed for building fitness or workout planning applications, machine learning projects, health and wellness research, and educational demonstrations.
Key features of the dataset include:
- 1,324 exercises with detailed metadata
- Animation GIFs and thumbnails for each exercise
- Step-by-step instructions in 9 languages
- Interactive browser for easy exploration of exercises
The dataset is
MIT licensed, with additional media terms. It powers the LogPress app, an AI-assisted workout tracker, and can be easily integrated into other applications.
The dataset is suitable for developers, researchers, and fitness enthusiasts looking to build or enhance their fitness-related projects.
One-liner takeaway: With the exercises-dataset, you can supercharge your fitness app with a vast, high-quality collection of exercises and metadata.
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🧠 Channel: https://t.me/GithubRe
15 212
⚡ YimMenu/YimMenuV2 is making waves. Here's the full picture.
🔗 https://github.com/YimMenu/YimMenuV2
📝 Experimental menu for GTA 5: Enhanced
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The YimMenuV2 repository is a C++20 mod menu base that serves as a learning opportunity for its creator. The project's structure is divided into three main directories:
core/ for essential features, game/ for game-specific implementations, and util/ for general utility functions. This base is designed to provide a foundation for modding, with a focus on templating and experimentation. It's geared towards developers looking to explore C++20 and mod menu development. The takeaway: Learning by doing is the best way to template your way to mod menu mastery!
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🧠 Channel: https://t.me/GithubRe15 212
🎯 coreyhaines31/marketingskills landed on trending. Worth a proper look.
🔗 https://github.com/coreyhaines31/marketingskills
📝 Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.
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The coreyhaines31/marketingskills GitHub repository is a collection of AI agent skills focused on marketing tasks, built for technical marketers and founders. These skills enable AI coding agents to assist with various marketing activities, such as conversion optimization, copywriting, SEO, analytics, and growth engineering.
Key features include a range of skills that reference each other, building on shared context, with the product-marketing skill serving as the foundation. The repository provides a comprehensive list of available skills, including
ab-testing, ad-creative, seo-audit, and many more.
To get started, users can install the skills using the CLI install option. The repository also offers a companion guide, Coding for Marketers, for those new to the terminal and coding agents.
The target audience includes technical marketers, founders, and anyone looking to leverage AI-powered marketing skills. With its extensive range of skills and user-friendly installation process, this repository is an invaluable resource for those seeking to enhance their marketing capabilities.
One-liner takeaway: Unlock the full potential of AI-powered marketing with the coreyhaines31/marketingskills repository and take your marketing efforts to the next level!
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🧠 Channel: https://t.me/GithubRe15 212
📌 Spotted on GitHub Trending: Shubhamsaboo/awesome-llm-apps — let's break it down.
🔗 https://github.com/Shubhamsaboo/awesome-llm-apps
📝 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
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Awsome LLM Apps is a GitHub repository that offers 100+ open-source AI agents, agent skills, and RAG apps that are hand-built, tested end-to-end, and available under the Apache-2.0 license. The repository provides a wide range of AI applications, including
agent skills, starter AI agents, advanced AI agents, and always-on agents. These applications can be used for various purposes, such as project management, insurance claims, fraud investigation, and more. The repository also includes multi-agent teams that can collaborate to accomplish complex tasks. To get started, users can clone the repository and run the agents using pip install and streamlit run. The repository is suitable for developers, researchers, and anyone interested in exploring the potential of AI applications. Take your AI journey to the next level with Awesome LLM Apps - clone, customize, and deploy your own AI agents in minutes!
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🧠 Channel: https://t.me/GithubRe
15 212
📌 Spotted on GitHub Trending: HenryNdubuaku/maths-cs-ai-compendium — let's break it down.
🔗 https://github.com/HenryNdubuaku/maths-cs-ai-compendium
📝 Become a cracked AI/ML Research Engineer
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The Maths, CS & AI Compendium is an unconventional, open textbook covering maths, computing, and artificial intelligence from the ground up. It's designed for curious practitioners seeking a deep understanding of the subject matter, not just exam or interview survival.
Key features include intuition-first explanations, real-world context, and no hand-waving of complex concepts. The compendium also comes with an
MCP server that lets AI assistants use it as a knowledge base, along with tools for educational purposes and example implementations.
The compendium is organized into 18 chapters, covering topics such as vectors, matrices, calculus, statistics, probability, machine learning, computational linguistics, computer vision, and more. It's written in a way that's easy to follow, with a focus on pattern recognition and quality knowledge consumption.
The target audience is anyone looking to gain a solid foundation in maths, CS, and AI, from students to working professionals. To get the most out of the compendium, readers can use the Phase 1 and Phase 2 study techniques outlined in the README.
Here's a sample Python code15 212
⚡ HKUDS/DeepTutor is making waves. Here's the full picture.
🔗 https://github.com/HKUDS/DeepTutor
📝 DeepTutor: Lifelong Personalized Tutoring.https://deeptutor.info/.
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The DeepTutor project is a lifelong personalized tutoring system. Its key features include a knowledge graph, question bank, and chat interface for conversing with Partners - AI personas with their own skills and memory. To
get started, users can install DeepTutor and access its web interface for configuration and usage.
The project has a strong focus on community, with a Discord channel and Feishu group for discussion and collaboration.
Technical highlights of the project include its use of Python 3.11+, Next.js 16, and various AI and machine learning technologies.
The project is licensed under Apache 2.0 and has a GitHub release available.
DeepTutor is suitable for educators, researchers, and developers interested in AI-powered education and tutoring systems.
One-liner takeaway: DeepTutor is revolutionizing education with its AI-powered personalized tutoring system, making learning more effective and engaging for all.
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🧠 Channel: https://t.me/GithubRe
15 212
⚡ 1c7/chinese-independent-developer is making waves. Here's the full picture.
🔗 https://github.com/1c7/chinese-independent-developer
📝 👩🏿💻👨🏾💻👩🏼💻👨🏽💻👩🏻💻中国独立开发者项目列表 -- 分享大家都在做什么
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中国独立开发者项目列表 是一个汇集中国独立开发者项目的开源仓库。这个项目的目的是让开发者们能够分享和发现彼此的作品，促进技术交流和创新。
该仓库包含了大量的项目，包括
程序员工具、游戏、AI 应用 等。每个项目都有详细的介绍和链接，方便开发者们快速找到感兴趣的项目。
使用这个仓库非常简单，只需 fork 仓库，添加自己的项目，然后提交 pull request 即可。
技术上，这个仓库使用 GitHub Pages 进行静态站点生成Markdown 格式编写项目介绍。
这个仓库的目标是成为中国独立开发者社区的 中心枢纽，所以不论你是经验丰富的开发者还是刚刚入门，都可以在这里找到属于自己的位置。
总的来说，中国独立开发者项目列表 是一个非常有用的资源，能够帮助开发者们快速找到和分享有趣的项目。所以，不要犹豫，加入这个社区，分享你的项目，和其他开发者一起 创造更多的可能！代码开源，创新源源不断！
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🧠 Channel: https://t.me/GithubRe15 212
📌 Spotted on GitHub Trending: openinterpreter/openinterpreter — let's break it down.
🔗 https://github.com/openinterpreter/openinterpreter
📝 A coding agent for low-cost models
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The Open Interpreter project is a coding agent designed to work efficiently with low-cost models. Its primary purpose is to provide a flexible and extensible platform for various applications, including
harness emulation, computer use, and model testing.
To get started, users can install Open Interpreter using a simple curl or irm command, followed by typing i or interpreter in their terminal. The project features a range of key features, including the ability to switch harnesses and model providers, run commands in a native sandbox, and test web and native apps.
From a technical standpoint, Open Interpreter is built using Rust and provides a TUI for user interaction. It also supports various CLI commands and configurations, making it a versatile tool for developers.
The Open Interpreter project is suitable for a wide range of users, including developers, researchers, and enthusiasts interested in coding agents and low-cost models. With its permissive Apache-2.0 license, the project encourages community involvement and contribution.
In summary, Open Interpreter is a powerful and flexible coding agent that is poised to make a significant impact in the world of low-cost models - unleash its potential and join the community today!
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🧠 Channel: https://t.me/GithubRe15 212
🔍 Deep-diving into HKUDS/Vibe-Trading — fresh off the trending list.
🔗 https://github.com/HKUDS/Vibe-Trading
📝 "Vibe-Trading: Your Personal Trading Agent"
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Check out Vibe-Trading, your personal trading agent, built with Python 3.11+, FastAPI, and React 19. This project empowers you with comprehensive trading capabilities through a single command. Key features include a
Strategy Development Manager, support for Indian equity (NSE/BSE), and a centralized env config.
To get started, you can pip install vibe-trading-ai and explore the website and docs for more information. The project is actively maintained, with recent updates including security hardening, Longbridge market data, and modern MCP transport.
Vibe-Trading is perfect for traders, developers, and researchers looking for a robust and customizable trading platform. Join the community through Discord or Feishu to contribute or learn more.
Vibe-Trading is the ultimate trading sidekick - automate your trades and elevate your investment game!
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🧠 Channel: https://t.me/GithubRe
15 212
🎯 Dicklesworthstone/destructive_command_guard landed on trending. Worth a proper look.
🔗 https://github.com/Dicklesworthstone/destructive_command_guard
📝 The Destructive Command Guard (dcg) is for blocking dangerous git and shell commands from being executed by agents.
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Destructive Command Guard is a high-performance hook designed to protect your work from accidental deletion by AI coding agents like Claude, Codex, and Copilot. It intercepts and blocks destructive commands before they execute, providing clear explanations and safer alternatives.
The key features of
dcg include zero-config protection, 50+ security packs for databases, Kubernetes, Docker, and more, sub-millisecond latency, and heredoc/inline script scanning.
To use dcg, simply install it using the provided install.sh or install.ps1 scripts, and it will automatically detect and configure hooks for supported agents. You can also customize the protection by creating a config.toml file to enable or disable specific packs.
The technical highlights of dcg include its modular pack system, which allows for easy extension and customization of the protection, and its dual regex engine, which provides fast and efficient pattern matching.
dcg is designed for anyone who uses AI coding agents and wants to protect their work from accidental deletion. Whether you're a developer, a data scientist, or a DevOps engineer, dcg is an essential tool to have in your toolkit.
In summary, dcg is a must-have tool for anyone who wants to protect their work from accidental deletion by AI coding agents - it's like having a guardian angel for your code.
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🧠 Channel: https://t.me/GithubRe