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Github Top Repositories

Github Top Repositories

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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.

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📈 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 14 262 subscribers, ranking 13 995 in the Education category and 28 191 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 14 262 subscribers.

According to the latest data from 04 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 262 over the last 30 days and by 13 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 0.94%. Within the first 24 hours after publication, content typically collects 0.61% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 134 views. Within the first day, a publication typically gains 87 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 September, 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.

14 262
Subscribers
+1324 hours
+1117 days
+26230 days
Posts Archive
🌟 mikeroyal/Self-Hosting-Guide caught my eye on GitHub Trending today. 🔗 https://github.com/mikeroyal/Self-Hosting-Guide 📝 Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking. ────────────────────────────── The mikeroyal/Self-Hosting-Guide is a comprehensive resource for getting started with self-hosting devices, covering both software and hardware. This guide provides an extensive list of tools, including containers, CI/CD, web servers, and large language models, to help users become more efficient in self-hosting. To use this guide, simply navigate through the Table of Contents and explore the various sections, such as Getting Started with Self-Hosting, Tools for Self-Hosting, and System Hardware. The guide also covers Operating Systems, Storage, and File systems, making it a one-stop-shop for all self-hosting needs. From a technical standpoint, the guide highlights the importance of containers in self-hosting, which package up code and dependencies to ensure applications run quickly and reliably. It also provides resources on container security and application container security. This guide is perfect for anyone looking to take control of their data and hosting, from beginners to experienced users. Whether you're interested in home automation, media servers, or smart home automation, this guide has got you covered. In short, the mikeroyal/Self-Hosting-Guide is your ultimate resource for self-hosting, and with it, you'll be able to host your own destiny. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into Raphire/Win11Debloat — fresh off the trending list. 🔗 https://github.com/Raphire/Win11Debloat 📝 A simple, lightweight PowerShell script that allows you to remove pre-installed apps, disable telemetry, as well as perform various other changes to declutter and customize your Windows experience. Win11Debloat works for both Windows 10 and Windows 11. ────────────────────────────── Win11Debloat is a lightweight PowerShell script that helps you customize and declutter your Windows experience. With this script, you can remove pre-installed apps, disable telemetry, and remove intrusive interface elements, all without needing to navigate through numerous settings or remove apps individually. The script features a powerful command-line interface, supports Windows Audit mode, and allows you to make changes to other Windows users. You can use it via a quick method where you download and run the script automatically, a traditional method where you manually download and run the script, or an advanced method for more experienced users. Key features include app removal, privacy and suggested content settings, AI feature disabling, system tweaks, Windows Update customization, and appearance customization. The script is easy to use and customizable, with a simple and intuitive menu. Win11Debloat is ideal for system administrators and power users who want to optimize their Windows experience. The script is well-documented, with a comprehensive wiki that provides detailed information on its features and usage. In short, Win11Debloat is a must-have tool for anyone looking to take control of their Windows experience - it's like a breath of fresh air for your PC. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🎯 Introduction-to-Autonomous-Robots/Introduction-to-Autonomous-Robots landed on trending. Worth a proper look. 🔗 https://github.com/Introduction-to-Autonomous-Robots/Introduction-to-Autonomous-Robots 📝 Introduction to Autonomous Robots ────────────────────────────── The Introduction to Autonomous Robots GitHub repository offers a comprehensive open textbook that delves into the computational principles of autonomous robots. This resource is released under Creative Commons 4.0, allowing for non-commercial use with proper attribution. Key features of this repository include: - The textbook's source code is available for use - A print version is available on Amazon, published by MIT Press - The ability to compile the book into a PDF using Latex or Overleaf To compile the book, you can use either: - Overleaf compilation by uploading the source code or forking the project - Latex compilation with the necessary prerequisites, such as pdflatex and bibtex, and following the provided compilation steps This repository is ideal for students, researchers, and educators interested in autonomous robots. One-liner takeaway: Explore the world of autonomous robots with this comprehensive open textbook and take the first step in shaping the future of robotics. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 Free-TV/IPTV is trending — and it deserves your attention. 🔗 https://github.com/Free-TV/IPTV 📝 M3U Playlist for free TV channels ────────────────────────────── The Free-TV/IPTV GitHub repository offers a curated M3U playlist of free TV channels from around the world. The playlist features a wide range of channels, including those available locally over-the-air and those streamed for free on the internet, such as Plex TV and Pluto TV. To use the playlist, simply point your IPTV player to the provided URL. The repository is guided by a philosophy of quality over quantity, ensuring that all channels work well and are available in HD whenever possible. The playlist only includes mainstream, free channels that are officially provided by their respective broadcasters. Channels are categorized by country or region, and each category has its own .md file. The repository is open to contributions, and users can submit pull requests to add or remove channels. However, contributors are required to follow specific guidelines, such as providing proof that a channel is free and functional. Overall, the Free-TV/IPTV repository is a valuable resource for anyone looking for a reliable and free TV streaming solution. Stream free, live TV - no subscription needed! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 music-assistant/server just hit the trending charts — here's why it matters. 🔗 https://github.com/music-assistant/server 📝 Music Assistant is a free, opensource Media library manager that connects to your streaming services and a wide range of connected speakers. The server is the beating heart, the core of Music Assistant and must run on an always-on device like a Raspberry Pi, a NAS or an Intel NUC or alike. ────────────────────────────── Introducing the Music Assistant Server, a free and open-source media library manager that connects your streaming services to a wide range of speakers. It's designed to run on an always-on device like a Raspberry Pi or NAS. The server is the core of Music Assistant, and its key features include integration with Home Assistant for automation. To get started, you can run the server as a Home Assistant Add-on or use a Docker container. Note that due to dependencies on external components like ffmpeg, it can't be run as a standalone pypi package. The target audience includes Home Assistant users and those looking for a media library manager with automation capabilities. Check out the documentation for more information on installation and usage. In short, Music Assistant Server is a powerful tool that simplifies media management - streamline your music experience with this one tool. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

rohitg00/ai-engineering-from-scratch is making waves. Here's the full picture. 🔗 https://github.com/rohitg00/ai-engineering-from-scratch 📝 Learn it. Build it. Ship it for others. ────────────────────────────── The GitHub repository rohitg00/ai-engineering-from-scratch offers a comprehensive, 20-phase curriculum for learning AI engineering from scratch. With 503 lessons and ~320 hours of material, it covers key concepts like math foundations, machine learning, deep learning, and more, using languages such as Python, TypeScript, Rust, and Julia. Each lesson follows a structured approach, starting with a problem, deriving the math, writing the code, running tests, and keeping the resulting artifact. The curriculum is designed to help students understand how AI actually works, rather than just calling APIs. This repository is suitable for anyone who wants to learn AI engineering, with no prior experience required, although being able to write code in any language is helpful. The curriculum is free, open-source, and licensed under MIT, making it accessible to everyone. The lessons are well-structured, with a focus on building reusable tools and artifacts that can be used in real-world applications. The curriculum also includes built-in agent skills, such as /find-your-level and /check-understanding, which help students track their progress and identify areas where they need more practice. In summary, rohitg00/ai-engineering-from-scratch is an excellent resource for anyone looking to learn AI engineering from scratch, with a comprehensive curriculum, structured lessons, and a focus on building practical skills. You don't just learn AI - you build it, end-to-end, by hand. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 jwasham/coding-interview-university caught my eye on GitHub Trending today. 🔗 https://github.com/jwasham/coding-interview-university 📝 A complete computer science study plan to become a software engineer. ────────────────────────────── The Coding Interview University is a comprehensive study plan designed to prepare individuals for technical interviews at top software companies like Amazon, Facebook, Google, and Microsoft. Created by John Washam, this plan is based on his own experience of studying for several months to become a software engineer. The plan covers a wide range of topics, including data structures, algorithms, computer science fundamentals, and software engineering principles. To use this plan, individuals can follow the outlined topics in order, tracking their progress using GitHub's task lists or by downloading the repository as a ZIP file. The plan is flexible, allowing users to adjust their pace according to their prior knowledge and experience. Key features of the plan include: - Algorithmic complexity and Big-O notation - Data structures such as arrays, linked lists, stacks, queues, hash tables, and trees - Sorting algorithms like selection, insertion, heapsort, quicksort, and mergesort - Graphs, including directed and undirected graphs, adjacency matrices, and adjacency lists This plan is ideal for individuals who want to become software engineers, especially those who didn't have the opportunity to pursue a degree in computer science. It's a valuable resource for anyone looking to improve their coding skills and knowledge of computer science concepts. In short, the Coding Interview University is a valuable resource for anyone looking to become a software engineer, and with dedication and hard work, you can increase your chances of acing technical interviews and landing your dream job: study smart, not hard, and you'll be a software engineer in no time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into trycua/cua — fresh off the trending list. 🔗 https://github.com/trycua/cua 📝 Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows). ────────────────────────────── Cua is an open-source project that enables you to build, benchmark, and deploy agents that use computers. The project consists of several key components, including Cua Drivers, Cua, Cua Bench, and Lume. Cua Drivers allow agents to drive native desktop apps in the background, while Cua provides an API for creating and controlling sandboxes on various operating systems. Cua Bench is a benchmarking tool for evaluating computer-use agents, and Lume is a macOS virtualization platform. To get started with Cua Drivers, you can install it using the following command:
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/cua-driver/scripts/install.sh)"
For Cua, you can install it using pip install cua and then use the API to create and control sandboxes:
from cua import Sandbox, Image
async with Sandbox.ephemeral(Image.linux()) as sb:
    result = await sb.shell.run("echo hello")
    screenshot = await sb.screenshot()
    await sb.mouse.click(100, 200)
    await sb.keyboard.type("Hello from Cua!")
Cua Bench can be used to evaluate agents on various tasks, and Lume can be used to create and manage macOS VMs. The project is designed for developers, researchers, and anyone interested in building and deploying computer-use agents. With its robust set of tools and APIs, Cua makes it easy to get started with building and benchmarking agents. The project is licensed under the MIT License, and contributions are welcome. One-liner takeaway: Cua is a powerful platform for building, benchmarking, and deploying computer-use agents, making it a game-changer for the field of AI and automation. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔥 freeCodeCamp/freeCodeCamp is trending — and it deserves your attention. 🔗 https://github.com/freeCodeCamp/freeCodeCamp 📝 freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free. ────────────────────────────── FreeCodeCamp is a non-profit platform that offers a wide range of free certifications and learning resources in web development, machine learning, and more. The platform provides an interactive and self-paced learning experience through thousands of coding challenges, lessons, and projects. Key features include responsive web design, JavaScript, front-end development libraries, and more. To get started, simply visit the freeCodeCamp.org website and sign up for an account. You can then choose from a variety of certifications and start learning. The platform also has a community forum, YouTube channel, and Discord server where you can connect with other learners and get help when you need it. From a technical perspective, the platform is built using a variety of technologies, including Node.js, MongoDB, and React. The codebase is open-source and available on GitHub, allowing developers to contribute to the platform and help improve it. The platform is ideal for anyone looking to learn to code, from beginners to experienced developers. Whether you're looking to switch careers, improve your skills, or simply learn for fun, FreeCodeCamp has something to offer. In short, FreeCodeCamp is a powerful platform that can help you learn to code and achieve your goals - and the best part is, it's completely free, so what are you waiting for? ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

Watch and Earn 1,000,000 USDT Toobit Sports season. Come to grab 1,000,000 usdt on Toobit! Ad. 18+
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💡 krahets/hello-algo just hit the trending charts — here's why it matters. 🔗 https://github.com/krahets/hello-algo 📝 《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語,提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现 ────────────────────────────── Hello Algo is an open-source, free, and beginner-friendly tutorial on data structures and algorithms. The project's main goal is to provide an easy-to-understand and comprehensive guide, using animated graphics to explain complex concepts and allowing readers to run code with one click. The tutorial covers various programming languages, including Python, Java, C++, JavaScript, and more. It encourages mutual learning and invites readers to ask questions, share insights, and discuss topics in the comments section. The project is continuously updated and welcomes contributions, including content corrections, code translations, and language translations. With its user-friendly approach and interactive features, Hello Algo aims to make learning data structures and algorithms an enjoyable experience for everyone. Learn data structures and algorithms the fun way - start with Hello Algo! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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chatwoot/chatwoot is making waves. Here's the full picture. 🔗 https://github.com/chatwoot/chatwoot 📝 Open-source live-chat, email support, omni-channel desk. An alternative to Intercom, Zendesk, Salesforce Service Cloud etc. 🔥💬 ────────────────────────────── Chatwoot is an open-source, self-hosted customer support platform that helps businesses deliver exceptional customer experiences. It offers a range of features, including omnichannel support, a help center portal, and AI-powered automation with Captain, its AI agent. Key features of Chatwoot include: - Collaboration tools like private notes, labels, and canned responses - Customer data management with contact profiles and segmentation - Integrations with popular platforms like Slack, Shopify, and Dialogflow - Reports and insights to measure customer satisfaction and agent performance Chatwoot is designed for businesses of all sizes and can be deployed on various platforms, including Heroku and DigitalOcean. It has a large community of contributors and users, and its documentation is available at chatwoot.com/help-center. Whether you're a small startup or a large enterprise, Chatwoot is a powerful tool for delivering exceptional customer support. With its flexibility, scalability, and customizability, it's an ideal solution for businesses looking to take their customer support to the next level. Chatwoot empowers you to own your customer support, so take control and start delivering exceptional customer experiences today! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 meshery/meshery is trending — and it deserves your attention. 🔗 https://github.com/meshery/meshery 📝 Meshery, the cloud native manager ────────────────────────────── Meshery is a cloud native manager that enables the design and management of Kubernetes-based infrastructure and applications. It offers visual and collaborative GitOps, allowing you to manage your infrastructure and microservices without needing to write YAML. With 380+ integrations, Meshery supports a wide range of cloud native infrastructure. Key features include infrastructure lifecycle management, multiple Kubernetes clusters and cloud management, and visually and collaboratively managing your infrastructure. Meshery also provides workspaces for team collaboration and environments for managing connections and credentials. The audience for Meshery includes cloud native developers, DevOps teams, and organizations looking to manage their Kubernetes-based infrastructure and applications. From a technical standpoint, Meshery leverages Kubernetes' built-in dry-run capabilities and supports Open Policy Agent's Rego query language. One of the main technical highlights of Meshery is its ability to infer relationships between resources, allowing for more efficient management of complex infrastructure. In terms of usage, Meshery can be tried in your browser using the Cloud Native Playground, and it also provides a catalog of curated design templates for finding infrastructure configuration patterns. Overall, Meshery is a powerful tool for managing cloud native infrastructure and applications. Meshery simplifies Kubernetes management - giving you superpowers to manage all your cloud native infrastructure in one place. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔍 Deep-diving into Panniantong/Agent-Reach — fresh off the trending list. 🔗 https://github.com/Panniantong/Agent-Reach 📝 Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. ────────────────────────────── Agent Reach is an open-source project that enables AI agents to access internet capabilities with a single command. The primary purpose of Agent Reach is to simplify the process of granting AI agents access to various online platforms, such as YouTube, Twitter, Reddit, and more, without requiring manual configuration or API keys. The key features of Agent Reach include zero-configuration support for several platforms, free and open-source tools, and security-focused design. To use Agent Reach, users simply need to copy and paste a command to their AI agent, and the agent will handle the rest. From a technical perspective, Agent Reach uses a capability layer approach, where it acts as an intermediary between the AI agent and various online platforms. This allows for easy integration and updates of new platforms without requiring significant changes to the underlying code. Agent Reach supports various AI agents, including Claude Code, OpenClaw, and Cursor, making it a versatile tool for developers and users alike. The project is continuously updated to ensure compatibility with the latest platforms and features. In summary, Agent Reach is a powerful tool that streamlines the process of granting AI agents access to internet capabilities, making it an essential resource for anyone working with AI agents. With its ease of use, security features, and continuous updates, Agent Reach is the perfect solution for anyone looking to unlock the full potential of their AI agent: 帮我安装 Agent Reach:https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md - and you're all set to supercharge your AI agent! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🎯 teslamate-org/teslamate landed on trending. Worth a proper look. 🔗 https://github.com/teslamate-org/teslamate 📝 A self-hosted data logger for your Tesla 🚘 [main maintainer=@JakobLichterfeld] ────────────────────────────── TeslaMate is a powerful, self-hosted data logger for your Tesla, written in Elixir and utilizing a Postgres database. It provides high precision drive data recording, automatic address lookup, and easy integration into Home Assistant, Node-Red, and Telegram via MQTT. The project features a range of dashboards, including battery health, charge level, and drive stats, all visualized with Grafana. To get started with TeslaMate, you can access the official documentation at https://docs.teslamate.org and follow the installation instructions. The project is licensed under the GNU Affero General Public License v3.0 (AGPLv3), ensuring it remains free and open for everyone. TeslaMate is designed for Tesla owners looking to track and analyze their vehicle's data, with features like geo-fencing, customizable theme modes, and support for multiple vehicles per account. With its robust feature set and commitment to open-source development, TeslaMate is an excellent choice for anyone looking to take control of their Tesla's data. Take your Tesla to the next level with TeslaMate - track, analyze, and optimize your vehicle's performance like never before. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe