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 15 216 subscribers, ranking 13 409 in the Education category and 26 085 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 15 216 subscribers.
According to the latest data from 05 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 393 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.92%. 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 140 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 06 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.
15 216
Subscribers
+624 hours
+837 days
+39330 days
Posts Archive
15 217
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15 217
🎯 DigitalPlatDev/FreeDomain landed on trending. Worth a proper look.
🔗 https://github.com/DigitalPlatDev/FreeDomain
📝 DigitalPlat FreeDomain: Free Domain For Everyone
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DigitalPlat FreeDomain is a project that offers free domain names to individuals and organizations, aiming to make the web more accessible. The goal is to provide a digital identity without the cost of a domain holding anyone back from creating a website.
Key features include the ability to register a unique domain and host it with your favorite DNS provider, such as Cloudflare or FreeDNS by Afraid.org. Available domain extensions include
.DPDNS.ORG, .US.KG, and .QZZ.IO, among others.
To get started, simply visit the DigitalPlat FreeDomain Dashboard and follow the tutorial. With over 500,000 domains already registered, this project is trusted by thousands and has a growing community.
Technical highlights include a custom-built system for managing domain registrations and a commitment to security, with a dedicated abuse reporting process in place.
The target audience is anyone looking to create a website without the burden of domain costs, from individuals to organizations.
In short, DigitalPlat FreeDomain is empowering people to take their ideas online without breaking the bank - claim your free domain today and unleash your digital potential!
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🧠 Channel: https://t.me/GithubRe15 217
🔍 Deep-diving into Crosstalk-Solutions/project-nomad — fresh off the trending list.
🔗 https://github.com/Crosstalk-Solutions/project-nomad
📝 Project N.O.M.A.D, is a self-contained, offline survival computer packed with critical tools, knowledge, and AI to keep you informed and empowered—anytime, anywhere.
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Project N.O.M.A.D. is a self-contained, offline-first knowledge and education server that keeps you informed and empowered—anytime, anywhere. It's packed with critical tools, knowledge, and AI, including a local AI chat, offline Wikipedia, medical references, ebooks, education platform, offline maps, data tools, and notes.
Key features include:
- AI chat with knowledge base
- Information library with offline Wikipedia and medical references
- Education platform with Khan Academy courses
- Offline maps and data tools
- Notes and system benchmark
Usage is straightforward: just install it on a Debian-based operating system (like Ubuntu), access it through your browser, and start exploring.
From a
technical standpoint, Project N.O.M.A.D. is built using Docker and includes a management UI and API that orchestrates a collection of containerized tools and resources.
The target audience includes anyone looking for a reliable, offline knowledge and education server, from students to researchers and outdoor enthusiasts.
In a nutshell: Project N.O.M.A.D. is your ultimate offline knowledge companion - take the power of knowledge with you, anywhere.
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🧠 Channel: https://t.me/GithubRe15 217
🌟 Biohub/esm caught my eye on GitHub Trending today.
🔗 https://github.com/Biohub/esm
📝 No description.
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The Biohub/esm GitHub repository is home to a groundbreaking project that's changing the face of protein biology. At its core, it's a world model for protein biology, comprising three main components:
ESMC, ESMFold2, and ESM Atlas.
ESMC is a state-of-the-art protein language model that's been trained on billions of protein sequences, learning the rules of protein biology. It's available through the Biohub Platform or Hugging Face, allowing users to run inference with minimal setup.
ESMFold2 is a state-of-the-art structure prediction model that combines ESMC embeddings with a diffusion-based architecture, predicting high-resolution protein structures directly from amino acid sequences.
ESM Atlas is a map of 6.8 billion proteins, organized according to the internal world model of ESMC. It's made interpretable through sparse autoencoders, revealing functional relationships between proteins.
These tools are designed for researchers, scientists, and developers working in the field of protein biology, providing a powerful platform for prediction, design, and discovery.
One-liner takeaway: The Biohub/esm repository is revolutionizing protein biology with its cutting-edge models and tools, empowering scientists to unlock new discoveries and advancements in the field.
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🧠 Channel: https://t.me/GithubRe
15 217
📌 Spotted on GitHub Trending: byoungd/English-level-up-tips — let's break it down.
🔗 https://github.com/byoungd/English-level-up-tips
📝 An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程/英语学习/学英语
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The English-level-up-tips GitHub repository is a comprehensive guide to learning English, created by byoungd. This project aims to provide a detailed and structured approach to improving English skills, with a focus on efficiency and effectiveness. The guide covers various aspects of English learning, including
vocabulary, listening, reading, speaking, and writing.
The repository also features a new AI chapter, which has been updated to 2026, providing a systematic approach to using AI tools like Gemini, ChatGPT, and Claude for English learning. The guide is designed to help learners discover the joy of learning English and make progress in a natural and enjoyable way.
The target audience for this repository includes English language learners of all levels, from beginners to advanced learners. The guide is suitable for anyone looking to improve their English skills, whether for personal or professional purposes.
The key technical highlights of the repository include its comprehensive coverage of English learning topics, its use of AI tools, and its structured approach to learning. The repository also features a range of resources, including word lists, learning tips, and personal stories.
In conclusion, the English-level-up-tips repository is a valuable resource for anyone looking to improve their English skills. With its comprehensive guide, AI-powered tools, and personal approach, it has the potential to make a significant impact on English language learning. So, why not start your English learning journey today and make it a fun and rewarding experience? Learning is, after all, one of life's greatest joys!
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🧠 Channel: https://t.me/GithubRe15 217
🔥 galilai-group/stable-worldmodel is trending — and it deserves your attention.
🔗 https://github.com/galilai-group/stable-worldmodel
📝 A platform for reproducible world model research and evaluation
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The stable-worldmodel GitHub repository provides a unified platform for world model research and evaluation. It offers a single interface for data collection, training, and evaluation with model-predictive control across various environments. The library ships with reference implementations of common baselines and planning solvers, allowing research code to focus on the model and objective.
Key features include:
- Unified interface for the three stages of world model research
-
Reference implementations of common baselines and planning solvers
- Support for multiple data formats, including lance, hdf5, folder, video, and lerobot
- Environment suite with factors of variation for evaluating zero-shot generalization
To get started, you can install the library using pip install stable-worldmodel and follow the Quick Start guide. The library is suitable for researchers and engineers working on world model research and evaluation.
Technical highlights include:
- Modular design for easy extension and customization
- Support for multiple environments, including DeepMind Control Suite, Gymnasium classic control, and more
- Built-in tools for data collection, training, and evaluation
The target audience for this library includes:
- Researchers working on world model research and evaluation
- Engineers implementing and deploying world models in real-world applications
In summary, stable-worldmodel provides a powerful and flexible platform for world model research and evaluation, making it an ideal choice for researchers and engineers in the field. Streamline your world model research with stable-worldmodel.
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🧠 Channel: https://t.me/GithubRe
15 217
🔥 run-llama/liteparse is trending — and it deserves your attention.
🔗 https://github.com/run-llama/liteparse
📝 A fast, helpful, and open-source document parser
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LiteParse is a fast and lightweight PDF parsing tool that provides high-quality spatial text parsing with bounding boxes. It's designed to run locally on your machine, without proprietary LLM features or cloud dependencies. Key features include fast text parsing, a flexible OCR system with built-in Tesseract and support for HTTP OCR servers, screenshot generation, and multiple output formats including JSON and text.
The tool is multi-language, allowing use from Rust, Node.js/TypeScript, Python, or the browser (WASM), and is multi-platform, supporting Linux, macOS (Intel/ARM), and Windows.
For
installation, you can use your preferred package manager, with versions available for Node.js/TypeScript, Python, Rust, and the browser (WASM).
To use LiteParse, you can utilize the command-line interface (CLI) for parsing files, batch parsing, and generating screenshots.
LiteParse is perfect for those looking for a fast, local, and flexible PDF parsing solution - parse your documents like a pro, without the cloud.
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🧠 Channel: https://t.me/GithubRe15 217
💡 cursor/plugins just hit the trending charts — here's why it matters.
🔗 https://github.com/cursor/plugins
📝 Cursor plugin specification and official plugins
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The cursor/plugins repository is a collection of official plugins for popular developer tools, frameworks, and SaaS products, each with its own
.cursor-plugin/plugin.json manifest. These plugins offer a wide range of features, including incremental learning, team workflows, security audits, and code quality checks.
Key features of the repository include the continual-learning plugin for incremental transcript-driven memory updates, the cursor-team-kit for internal team workflows, and the thermos plugin for deep security and correctness audits.
To use these plugins, simply navigate to the desired plugin's directory and follow the instructions in the README.md file. The repository is structured as a multi-plugin marketplace, with each plugin having its own manifest and directory.
The target audience for this repository includes developers, DevOps teams, and anyone looking to extend the functionality of their developer tools.
From a technical standpoint, the plugins are built using a variety of technologies, including TypeScript and the @cursor/sdk library.
In short, the cursor/plugins repository is a powerful resource for anyone looking to streamline their development workflow and improve their code quality.
You can supercharge your development workflow with these plugins!
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🧠 Channel: https://t.me/GithubRe15 217
🌟 Leonxlnx/taste-skill caught my eye on GitHub Trending today.
🔗 https://github.com/Leonxlnx/taste-skill
📝 Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
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The Taste Skill repository on GitHub offers a collection of anti-slop agent skills designed to elevate the quality of AI-built interfaces. These skills focus on enhancing layout, typography, motion, and spacing to create more visually appealing and premium user interfaces. The repository includes a range of skills, such as
design-taste-frontend, gpt-taste, and image-to-code-skill, each serving a specific purpose in the design and development process.
To use these skills, developers can install them via the npx skills add command, specifying the skill they wish to install. For example, to install the design-taste-frontend skill, you would run npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend"research/ directory.
Whether you're working on a new project or looking to improve an existing one, Taste Skill provides a powerful toolset to help you create more engaging, polished, and professional interfaces. So why settle for boilerplate UIs when you can taste the difference with Taste Skill?
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🧠 Channel: https://t.me/GithubRe
15 217
🚀 Meet anthropics/claude-code: a gem from today's GitHub trending list.
🔗 https://github.com/anthropics/claude-code
📝 Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
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Meet Claude Code, a cutting-edge coding tool that simplifies your development workflow. It understands your codebase, executes routine tasks, explains complex code, and handles git workflows using natural language commands. You can use it in your terminal, IDE, or even tag @claude on Github.
Key features include seamless integration, customization with plugins, and a user-friendly interface. To get started, simply install Claude Code using one of the recommended methods, such as
curl -fsSL https://claude.ai/install.sh | bash for MacOS/Linux, and run claude in your project directory.
Technical highlights of Claude Code include its ability to learn from your codebase and adapt to your workflow, making it an invaluable tool for developers of all levels. Whether you're a seasoned pro or just starting out, Claude Code is designed to help you code faster and more efficiently.
The target audience for Claude Code is developers who want to streamline their workflow, improve productivity, and focus on the creative aspects of coding. With its extensive documentation and community support, including a Discord channel and GitHub issues, you'll never be left in the dark.
In short, Claude Code is a game-changer for developers - it's like having a personal coding assistant at your fingertips. Get ready to revolutionize your coding experience with Claude Code: code smarter, not harder.
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🧠 Channel: https://t.me/GithubRe
15 217
🔍 Deep-diving into twentyhq/twenty — fresh off the trending list.
🔗 https://github.com/twentyhq/twenty
📝 The open alternative to Salesforce, designed for AI.
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The Twenty open-source CRM is designed for technical teams, providing a customizable foundation to meet complex business needs. It allows you to build, ship, and version your CRM like any other part of your tech stack.
Key features include
defineObject for defining custom objects, FieldType for specifying field types, and a CLI for scaffolding new apps and publishing them to your workspace.
To get started, you can sign up for the cloud version, build an app using the Twenty CLI, or self-host using Docker Compose. The project is built with a tech stack that includes TypeScript, Nx, NestJS, React, and more.
The Twenty CRM offers a range of tools and features, including objects, views, workflows, and agents, as well as version control and layouts. It's designed to be extensible and customizable, with a strong focus on community involvement and open-source development.
Whether you're a developer, contributor, or user, Twenty has something to offer. So why not join the community, star the repo, and start building your own custom CRM today? With Twenty, you can create the CRM you need, without being held back by the CRM you have.
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🧠 Channel: https://t.me/GithubRe15 217
🔍 Deep-diving into EveryInc/compound-engineering-plugin — fresh off the trending list.
🔗 https://github.com/EveryInc/compound-engineering-plugin
📝 Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
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The Compound Engineering plugin is designed to make each unit of engineering work easier than the last by inverting traditional development's accumulation of technical debt. With a focus on planning, review, and codifying knowledge, this plugin provides a set of skills and agents to streamline the development process.
Key features include interactive brainstorming, detailed planning, code review, and knowledge compounding, all of which work together to reduce complexity and improve overall quality. The plugin is available for various platforms, including Claude Code, Codex, Copilot, and more, with installation instructions provided for each.
Technical highlights of the plugin include its
37 skills and 51 agents, which can be used to automate tasks, provide guidance, and facilitate collaboration. The plugin also includes a range of tools for debugging, testing, and validation, making it a comprehensive solution for development teams.
The target audience for the Compound Engineering plugin includes developers, engineers, and development teams looking to improve their workflow, reduce technical debt, and increase productivity. By leveraging the plugin's features and agents, teams can work more efficiently, effectively, and with greater ease.
In summary, the Compound Engineering plugin is a powerful tool for streamlining development and improving overall quality - with its robust set of skills and agents, it's a game-changer for teams looking to work smarter, not harder.
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🧠 Channel: https://t.me/GithubRe15 217
💻 Scrap
🛠 Scraperr is a self-hosted application designed to accurately extract data from websites using XPath selectors.
🔰 It provides a convenient interface for managing scraping tasks, viewing and exporting data.
🔰 Key features include XPath-based extraction, queue management, scraping all pages of a single domain, adding custom headers, automatic media downloading, and visualizing results in tables.
🔰 The application is intended only for sites where scraping is allowed, and the developer is not responsible for possible abuse.
🔗Links:
https://github.com/jaypyles/Scraperr
#Scraperr #WebScraping #XPath #SelfHosted #DataExtraction #DevTools
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15 217
🔍 Deep-diving into microsoft/markitdown — fresh off the trending list.
🔗 https://github.com/microsoft/markitdown
📝 Python tool for converting files and office documents to Markdown.
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MarkItDown is a lightweight Python utility that converts various file formats to Markdown, ideal for use with Large Language Models (LLMs) and text analysis pipelines. It supports a wide range of file types, including PDF, PowerPoint, Word, Excel, images, audio, HTML, and more. The goal is to preserve important document structure and content as Markdown, making it easily consumable by text analysis tools.
Key features include:
-
convert_stream() and convert_local() functions for flexible conversion
- Support for optional dependencies for specific file formats, such as [pdf], [docx], and [pptx]
- Plugin architecture for extending functionality, including the markitdown-ocr plugin for Optical Character Recognition (OCR)
- Integration with Azure Content Understanding for higher-quality conversion and structured field extraction
- Python API for easy integration into existing workflows
To get started, simply install MarkItDown using pip install 'markitdown[all]' and use the command-line interface or Python API to convert your files. With MarkItDown, you can easily convert your files to Markdown and unlock the power of LLMs and text analysis pipelines. Convert your files to Markdown in minutes, and start analyzing your data with ease - MarkItDown makes it easy.
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🧠 Channel: https://t.me/GithubRe15 217
🔥 harry0703/MoneyPrinterTurbo is trending — and it deserves your attention.
🔗 https://github.com/harry0703/MoneyPrinterTurbo
📝 利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
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MoneyPrinterTurbo is an open-source project that allows users to generate high-definition videos with customizable themes, music, and subtitles. The project uses a Model-View-Controller (MVC) architecture and supports both
API and Web interface interactions.
To use MoneyPrinterTurbo, users can provide a video theme or keyword, and the system will automatically generate a video script, video materials, subtitles, and background music. The project supports various video sizes, including 9:16 and 16:9, and allows for batch video generation.
The project has several technical highlights, including support for AI-generated video scripts, multi-language subtitles, and background music. It also supports various LLM providers, such as OpenAI and Azure.
MoneyPrinterTurbo is suitable for users who want to generate high-quality videos quickly and easily. The project is open-source and has a permissive license, making it accessible to a wide range of users.
To get started with MoneyPrinterTurbo, users can follow the quick start guide in the project's README file. The guide provides step-by-step instructions for installing the project, configuring the environment, and generating videos.
In summary, MoneyPrinterTurbo is a powerful tool for generating high-quality videos with customizable themes, music, and subtitles. With its open-source nature and permissive license, it is an excellent choice for users who want to create engaging videos quickly and easily.
Automate your video creation with MoneyPrinterTurbo - no video editing experience required!
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🧠 Channel: https://t.me/GithubRe