Github Top Repositories
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Top GitHub repositories in one place π Explore the best projects in programming, AI, data science, and more.
Show moreπ 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 14 191 subscribers, ranking 14 012 in the Education category and 28 382 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 14 191 subscribers.
According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 256 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 1.05%. Within the first 24 hours after publication, content typically collects 0.69% reactions from the total number of subscribers.
- Post reach: On average, each post receives 149 views. Within the first day, a publication typically gains 98 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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βTop GitHub repositories in one place π
Explore the best projects in programming, AI, data science, and more.β
Thanks to the high frequency of updates (latest data received on 30 August, 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.
14 191
Subscribers
No data24 hours
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Posts Archive
14 214
π‘ protocolbuffers/protobuf just hit the trending charts β here's why it matters.
π https://github.com/protocolbuffers/protobuf
π Protocol Buffers - Google's data interchange format
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The Protocol Buffers project, also known as protobuf, is a language-neutral and platform-neutral data interchange format developed by Google. The protobuf project enables you to serialize structured data, making it a versatile tool for various applications.
To get started, you can install the protocol compiler (
protoc) and the protobuf runtime for your chosen programming language. The project supports multiple languages, including C++, Java, Python, and more. You can find installation instructions and documentation for each language in the corresponding source directory.
The project uses Bazel as its build tool, and you can use Bzlmod or WORKSPACE to manage dependencies. For example:
bazel_dep(name = "protobuf", version = <VERSION>)14 214
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14 214
β‘ PrismML-Eng/Bonsai-demo is making waves. Here's the full picture.
π https://github.com/PrismML-Eng/Bonsai-demo
π Bonsai Demo
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The Bonsai-demo repository on GitHub is a demo for the Bonsai and Ternary-Bonsai language models. The purpose of this repo is to allow users to run these models locally on their machines, supporting various platforms including Mac, Linux, Windows, and CPU.
The key features of the Bonsai-demo include vision-language models, agentic tool calling, and reasoning models. The vision-language models can process images, screenshots, and PDFs, while the agentic tool calling feature enables native OpenAI-style tool calls. The reasoning model allows users to pick the reasoning effort per chat or budget it per request.
To use the Bonsai-demo, users can follow the
Quick Start guide, which involves cloning the repository, setting environment variables, and running the setup.sh script. The repo supports various model sizes, including 27B, 8B, 4B, and 1.7B, and users can switch between the Ternary and 1-bit families.
The technical highlights of the Bonsai-demo include its support for GGUF (llama.cpp) and MLX 1-bit formats, as well as its compatibility with various backends, including CPU, Metal, CUDA, and Vulkan. The demo also provides a VISION.md guide for using the vision-language models and a TOOLS.md guide for using the agentic tool calling feature.
The target audience for the Bonsai-demo appears to be developers and researchers interested in natural language processing and vision-language models.
In summary, the Bonsai-demo repository provides a powerful tool for running Bonsai and Ternary-Bonsai language models locally, with features like vision-language processing and agentic tool calling, making it an exciting project for NLP enthusiasts: Experience the future of AI with Bonsai-demo!
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π§ Channel: https://t.me/GithubRe14 214
π‘ anthropics/cwc-workshops just hit the trending charts β here's why it matters.
π https://github.com/anthropics/cwc-workshops
π No description.
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The anthropics/cwc-workshops GitHub repository offers a collection of workshop materials from Anthropic's Code with Claude sessions. The
workshops directory contains various projects, including rightmodel, agent-decomposition, and ship-your-first-managed-agent, each focusing on a different aspect of coding with Claude.
These workshops cover a range of topics, from picking the right model to composing multi-agent systems and shipping managed agents. The repository also includes materials on Claude coding, agent battles, and eval-driven agent development.
The target audience appears to be developers interested in AI-assisted coding and agent development.
One key takeaway: Explore the possibilities of coding with Claude through these engaging workshops and take your agent development skills to the next level.
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π§ Channel: https://t.me/GithubRe14 214
π― github/copilot-sdk landed on trending. Worth a proper look.
π https://github.com/github/copilot-sdk
π Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
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The GitHub Copilot SDK allows you to embed Copilot's agentic workflows in your application, leveraging the same engine behind Copilot CLI. With SDKs available for
Python, TypeScript, Go, .NET, Java, and Rust, you can define agent behavior and let Copilot handle planning, tool invocation, and more.
To get started, install the SDK for your preferred language, then follow the getting started guide for a walkthrough of the process. 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, following semantic versioning, and is suitable for developers looking to integrate Copilot's functionality into their applications.
In short, the GitHub Copilot SDK is a powerful tool for streamlining development - integrate it into your workflow and let the AI do the heavy lifting.
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π§ Channel: https://t.me/GithubRe
14 214
π Meet Nutlope/hallmark: a gem from today's GitHub trending list.
π https://github.com/Nutlope/hallmark
π Anti-AI-slop design skill for Claude Code, Cursor, and Codex.
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The Hallmark GitHub repository offers a unique design skill for Claude Code, Cursor, and Codex that generates human-like designs. Its key features include twenty themes, four verbs (
*(default)*, hallmark audit <target>, hallmark redesign <target>, and hallmark study <screenshot | URL>), and a custom mode for tailored designs. To use Hallmark, simply install it with npx skills add nutlope/hallmark and access its various features. From a technical standpoint, Hallmark utilizes a macrostructure, applies a rule-set, and runs a slop test to ensure high-quality designs. This repository is perfect for developers and designers looking to create unique, non-template-based designs. In short, Hallmark is a game-changer for design skills - it's like having a human designer in your code.
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π§ Channel: https://t.me/GithubRe
14 214
π Deep-diving into HenryNdubuaku/maths-cs-ai-compendium β fresh off the trending list.
π https://github.com/HenryNdubuaku/maths-cs-ai-compendium
π Become a cracked AI/ML Research Engineer
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The Maths, CS & AI Compendium is an open, unconventional textbook covering maths, computing, and artificial intelligence from the ground up. It's written for curious practitioners looking to deeply understand the concepts, not just survive an exam or interview. The author, Henry Ndubuaku, shares his notes and experiences working in AI/ML, which helped his friends get into top companies like DeepMind and OpenAI.
The compendium includes an MCP server that lets any AI assistant use it as a knowledge base, along with tools for educational purposes and example implementations. It covers a wide range of topics, from
vectors and matrices to machine learning and computer vision.
To get the most out of this resource, users can follow the author's suggested study technique, which involves cumulative reading, shadow reading, and implementing concepts in code. The compendium is suitable for anyone looking to deepen their understanding of maths, CS, and AI, and is available online at henryndubuaku.github.io/maths-cs-ai-compendium/.
One-liner takeaway: Unlock your full potential with the Maths, CS & AI Compendium, and trust the process to become a proficient AI researcher and engineer!
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π§ Channel: https://t.me/GithubRe14 214
π PostHog/posthog caught my eye on GitHub Trending today.
π https://github.com/PostHog/posthog
π π¦ PostHog is the leading platform for building self-driving products. Our developer tools β AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more β capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
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PostHog is an open-source platform for building self-driving products, providing a suite of tools to help you understand user behavior, diagnose issues, and optimize your product. With PostHog, you can capture product analytics, web analytics, session replays, feature flags, experiments, error tracking, logs, surveys, and more. The platform is free to use with a generous monthly free tier, and you can self-host it or use the cloud version.
Key features include:
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Self-driving mode: Turns signals in your product data into researched reports and pull requests.
- Product analytics: Autocapture or manually instrument event-based analytics.
- Web analytics: Monitor web traffic and user sessions with a GA-like dashboard.
- Session replays: Watch real user sessions to diagnose issues and understand user behavior.
- Feature flags: Safely roll out features to select users or cohorts.
You can get started by signing up for PostHog Cloud US or PostHog Cloud EU, or by self-hosting the open-source hobby deploy with /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/posthog/posthog/HEAD/bin/deploy-hobby)"14 214
π₯ codecrafters-io/build-your-own-x is trending β and it deserves your attention.
π https://github.com/codecrafters-io/build-your-own-x
π Master programming by recreating your favorite technologies from scratch.
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The codecrafters-io/build-your-own-x repository offers a vast collection of step-by-step guides for re-creating popular technologies from scratch, including 3D renderers, AI models, blockchains, and more. With tutorials covering a wide range of programming languages, such as
C++, Java, Python, and JavaScript, developers can choose their preferred language to build and learn. The repository provides a unique opportunity for hands-on learning, allowing users to gain a deeper understanding of complex technologies by building them from the ground up. Whether you're a beginner or an experienced developer, this repository has something for everyone. So, get ready to code and learn! Build your own technology from scratch and discover the power of hands-on learning: "What I cannot create, I do not understand" becomes your new motto.
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π§ Channel: https://t.me/GithubRe14 214
π― ossu/computer-science landed on trending. Worth a proper look.
π https://github.com/ossu/computer-science
π π Path to a free self-taught education in Computer Science!
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The ossu/computer-science GitHub repository offers a free and well-structured computer science curriculum. Its purpose is to provide a complete education in computer science using online materials, covering topics from
computation and imperative programming to discrete mathematics and software architecture. The curriculum is designed to be completed in about 2 years with a time commitment of roughly 20 hours/week. It's suitable for self-motivated individuals who want a proper, well-rounded grounding in computer science concepts. The community provides support through a Discord server and GitHub issues. To get started, simply explore the curriculum and begin with the Intro CS course. Remember, you can't purchase success, so be prepared to put in the effort to achieve your goals! Learn to code, and code to learn - the world of computer science awaits!
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π§ Channel: https://t.me/GithubRe14 214
π Spotted on GitHub Trending: codecrafters-io/build-your-own-x β let's break it down.
π https://github.com/codecrafters-io/build-your-own-x
π Master programming by recreating your favorite technologies from scratch.
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The GitHub repository "codecrafters-io/build-your-own-x" is a collection of step-by-step guides for building various technologies from scratch. Key features include tutorials on creating a 3D renderer, AI model, augmented reality, BitTorrent client, blockchain, bot, command-line tool, database, and many more. Usage of this repository allows developers to gain hands-on experience and deepen their understanding of different technologies.
Technical highlights include the use of various programming languages such as C++, Java, Python, and JavaScript. The repository is suitable for developers of all levels, from beginners to experienced professionals, looking to expand their skill set. With over 50 technologies to choose from, this repository is an excellent resource for anyone looking to learn and build something new. Build something from scratch and you'll understand it forever!
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π§ Channel: https://t.me/GithubRe14 214
β‘ Graphify-Labs/graphify is making waves. Here's the full picture.
π https://github.com/Graphify-Labs/graphify
π AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
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Graphify is a powerful tool that helps you uncover hidden connections in your data. With its multimodal capabilities, you can drop in various file types such as code, PDFs, markdown, screenshots, diagrams, and images, and it will extract concepts and relationships from them to create a comprehensive knowledge graph.
To use
graphify, simply type /graphify in Claude Code, followed by the directory you want to analyze. The output will include an interactive graph, Obsidian vault, Wikipedia-style articles, and a report highlighting key nodes, surprising connections, and suggested questions.
Some of the key technical highlights of graphify include its use of NetworkX, Leiden, tree-sitter, Claude, and vis.js. It also supports various file types, including code, documents, papers, and images, and provides features like auto-sync and git commit hooks.
Graphify is ideal for researchers, developers, and knowledge workers who want to gain insights from their data and discover new connections.
In a nutshell, graphify helps you turn chaos into clarity - try it out and uncover the hidden patterns in your data!
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π§ Channel: https://t.me/GithubRe
14 214
π‘ ibelick/ui-skills just hit the trending charts β here's why it matters.
π https://github.com/ibelick/ui-skills
π Skills for Design Engineers
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The ui-skills GitHub repository is designed for Design Engineers, providing a set of skills to enhance their user interface (UI) capabilities. The key feature of this project is its ability to route agents through the right UI skill set for a specific task using the command
npx ui-skills start.
The repository offers a range of commands, including:
npx ui-skills
npx ui-skills start
npx ui-skills categories
npx ui-skills list --category motion
npx ui-skills get baseline-ui
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π Meet github/copilot-sdk: a gem from today's GitHub trending list.
π https://github.com/github/copilot-sdk
π Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
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The Github Copilot SDK is a set of APIs that allow developers to embed Copilot's agentic workflows into their applications. The SDK exposes the same engine behind Copilot CLI, a production-tested agent runtime that can be invoked programmatically. With the SDK, developers can define agent behavior, and Copilot handles planning, tool invocation, file edits, and more.
The SDK is available for multiple programming languages, including
Python, JavaScript (via TypeScript), Go, .NET, Java, and Rust. Each language has its own implementation, with documentation and example usage provided.
To get started, developers can install the SDK using package managers like npm or pip, and then import the SDK into their application. The SDK manages the Copilot CLI process lifecycle automatically, and developers can also connect to an external CLI server.
The SDK supports multiple authentication methods, including GitHub signed-in user, OAuth GitHub App, environment variables, and BYOK (Bring Your Own Key). It also allows developers to define custom agents, skills, and tools, and provides instructions and guidance for Copilot to speed up development.
Overall, the Github Copilot SDK provides a powerful and flexible way for developers to integrate Copilot's AI-powered coding capabilities into their applications. With the SDK, you can unlock the full potential of Copilot and take your development to the next level!
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π§ Channel: https://t.me/GithubRe14 214
π Meet mattpocock/skills: a gem from today's GitHub trending list.
π https://github.com/mattpocock/skills
π Skills for Real Engineers. Straight from my .claude directory.
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Unlock Efficient Software Development with the GitHub repo "mattpocock/skills". This collection of skills is designed to help real engineers develop applications efficiently, tackling common failure modes in software development.
The key features of this repo include grilling sessions to align with the agent, a shared language to reduce verbosity, and feedback loops to ensure the code works as expected.
To get started, simply run the
skills.sh installer and pick the skills you want to use. You can also install the skills as a Claude Code plugin for a plug-and-play experience.
These skills are perfect for developers and engineers looking to streamline their workflow and develop high-quality applications. With mattpocock/skills, you can focus on writing great code and leave the tedious tasks to the agent.
In short, mattpocock/skills helps you build better software, faster.
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π§ Channel: https://t.me/GithubRe14 214
π Meet HKUDS/DeepTutor: a gem from today's GitHub trending list.
π https://github.com/HKUDS/DeepTutor
π DeepTutor: Lifelong Personalized Tutoring.https://deeptutor.info/.
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DeepTutor: Lifelong Personalized Tutoring is an innovative platform that offers a personalized learning experience. Its key features include a chat agent loop, multimodal image extraction, and support for multiple languages. To get started, simply visit the
deeptutor.info website and follow the instructions. The platform is built using Python 3.11+ and Next.js 16, and is licensed under the Apache 2.0 license.
The platform is designed for students, educators, and researchers who want to create a personalized learning experience. It offers a range of technical highlights, including support for multiple AI models, a knowledge graph, and a customizable interface. The platform also has a strong community of contributors and users, who can be reached through Discord, Feishu, and WeChat.
Overall, DeepTutor is a powerful tool for anyone looking to create a personalized learning experience. With its user-friendly interface and advanced features, it's an ideal choice for anyone looking to take their learning to the next level. Get started with DeepTutor today and discover a new way of learning!
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π§ Channel: https://t.me/GithubRe