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Github Top Repositories
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Top GitHub repositories in one place ๐ Explore the best projects in programming, AI, data science, and more.
Show more๐ 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 13 227 subscribers, ranking 15 419 in the Education category and 32 691 in the India region.
๐ Audience metrics and dynamics
Since its creation on ะฝะตะฒัะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 13 227 subscribers.
According to the latest data from 06 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 344 over the last 30 days and by 12 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 1.18%. Within the first 24 hours after publication, content typically collects 0.79% reactions from the total number of subscribers.
- Post reach: On average, each post receives 156 views. Within the first day, a publication typically gains 104 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.
๐ Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
โTop GitHub repositories in one place ๐
Explore the best projects in programming, AI, data science, and more.โ
Thanks to the high frequency of updates (latest data received on 08 June, 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.
13 227
Subscribers
+1224 hours
+997 days
+34430 days
Posts Archive
13 227
๐ microsoft/markitdown caught my eye on GitHub Trending today.
๐ https://github.com/microsoft/markitdown
๐ Python tool for converting files and office documents to Markdown.
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MarkItDown is a lightweight Python utility for converting various files to Markdown, ideal for use with Large Language Models (LLMs) and text analysis pipelines. It supports conversion from multiple file formats, 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:
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Support for multiple file formats
- Preserves document structure and content as Markdown
- Optional dependencies for activating various file formats
- Plugin support for adding new features, such as OCR
To use MarkItDown, you can install it via pip: pip install 'markitdown[all]'. Then, simply run the command markitdown path-to-file.pdf > document.md to convert a file.
MarkItDown also integrates with Azure Content Understanding and Azure Document Intelligence for higher-quality conversions. Additionally, it supports Large Language Models for image descriptions.
The project welcomes contributions and has adopted the Microsoft Open Source Code of Conduct.
In short, MarkItDown is a powerful tool for converting files to Markdown, and its flexibility and customization options make it an ideal choice for a variety of use cases. Convert your files to Markdown with ease using MarkItDown โ your text analysis pipelines will thank you!
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๐ง Channel: https://t.me/GithubRe13 227
๐ Deep-diving into harry0703/MoneyPrinterTurbo โ fresh off the trending list.
๐ https://github.com/harry0703/MoneyPrinterTurbo
๐ ๅฉ็จAIๅคงๆจกๅ๏ผไธ้ฎ็ๆ้ซๆธ
็ญ่ง้ข Generate short videos with one click using AI LLM.
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MoneyPrinterTurbo is a powerful tool that generates videos with AI-generated scripts, subtitles, and background music. It supports multiple video sizes, batch generation, and customizable settings. The project has a clear and maintainable MVC architecture and is easy to use through its
Web and API interfaces.
Key features include:
* AI-generated video scripts and subtitles
* Support for multiple video sizes and formats
* Batch generation and customizable settings
* Integration with various AI models and services
The project is suitable for developers and non-technical users alike, with a simple and intuitive interface. It's also highly customizable, allowing users to tailor the output to their specific needs.
Some technical highlights include:
* Support for multiple AI models and services
* ImageMagick integration for image processing
* ffmpeg integration for video processing
To get started, users can follow the quick start guide, which includes instructions for installing and running the project on various platforms.
In summary, MoneyPrinterTurbo is a powerful and flexible tool for generating videos with AI-generated content. With its easy-to-use interface and customizable settings, it's an ideal solution for anyone looking to create high-quality videos quickly and efficiently. Give it a try and start creating your own videos today!
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๐ง Channel: https://t.me/GithubRe
13 227
๐ฅ codecrafters-io/build-your-own-x is trending โ and it deserves your attention.
๐ https://github.com/codecrafters-io/build-your-own-x
๐ Master programming by recreating your favorite technologies from scratch.
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The codecrafters-io/build-your-own-x GitHub repository is a treasure trove of step-by-step guides for building various technologies from scratch. It covers a wide range of topics, including 3D renderers, AI models, blockchains, bots, databases, and more. With tutorials in multiple programming languages, such as
C++, Java, Python, and JavaScript, this resource is suitable for developers of all levels. The guides are designed to be hands-on, allowing you to learn by doing, and are perfect for anyone looking to gain a deeper understanding of how different technologies work. Whether you're a beginner or an experienced developer, this repository has something for everyone. So, get ready to build your own and take your skills to the next level: building is learning.
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๐ง Channel: https://t.me/GithubRe13 227
๐ Meet DataTalksClub/data-engineering-zoomcamp: a gem from today's GitHub trending list.
๐ https://github.com/DataTalksClub/data-engineering-zoomcamp
๐ Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here ๐๐ผ
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The Data Engineering Zoomcamp is a free 9-week course that teaches data engineering fundamentals by building an end-to-end data pipeline from scratch. With hands-on experience using industry-standard tools and best practices, students gain a deep understanding of data engineering concepts.
The course includes
structured modules, hands-on workshops, and a final project to reinforce learning. Key features cover data ingestion, workflow orchestration, data warehousing, analytics engineering, and more.
To get started, students can enroll in the 2026 cohort or opt for self-paced learning by watching course videos, joining the Slack community, and referring to the FAQ document.
The course is suitable for those with basic coding experience, familiarity with SQL, and some experience with Python. No prior data engineering experience is necessary.
The Data Engineering Zoomcamp is perfect for anyone looking to break into data engineering, with a supportive community, expert instructors, and a comprehensive curriculum.
Join the Data Engineering Zoomcamp and transform your career in just 9 weeks!
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๐ง Channel: https://t.me/GithubRe
13 227
๐ Meet hardikpandya/stop-slop: a gem from today's GitHub trending list.
๐ https://github.com/hardikpandya/stop-slop
๐ A skill file for removing AI tells from prose
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The Stop Slop GitHub repository offers a skill for removing AI tells from prose, teaching large language models like Claude to catch and remove predictable phrases, structures, and rhythms.
Key features include a set of references with phrases and structures to avoid, along with examples of before/after transformations. To use, simply add the skill to Claude or upload the
SKILL.md and reference files to a project's knowledge base.
From a technical standpoint, the repository is structured with clear instructions in SKILL.md and includes reference files like phrases.md and structures.md.
The target audience appears to be developers and writers looking to refine AI-generated content.
With its scoring system, which rates directness, rhythm, trust, authenticity, and density, this skill helps you refine your writing - and that's a game-changer for AI writing: make it sound human, or make it stop.
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13 227
๐ Spotted on GitHub Trending: affaan-m/ECC โ let's break it down.
๐ https://github.com/affaan-m/ECC
๐ The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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The ECC repository on GitHub is a comprehensive system for agentic work, built from real-world multi-harness engineering workflows. It's not just about configurations, but a complete system that includes skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. ECC works across various AI agent harnesses, such as
Codex, Claude Code, Cursor, and OpenCode.
The system is designed to be production-ready, with features like token optimization, memory persistence, and continuous learning. It also includes a range of skills, hooks, rules, and configurations to support different use cases. ECC v2.0.0-rc.1MIT license, and is actively maintained by its creator, affaan-m.
Overall, ECC is a powerful tool for building and deploying AI agents, with a strong focus on community, security, and continuous learning. With its comprehensive features and large community, ECC is an ideal choice for anyone looking to build and deploy AI-powered agents. Here's the takeaway: Build intelligent agents with ECC and unlock the full potential of AI.
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๐ง Channel: https://t.me/GithubRe
13 227
Turn Simple Tasks Into Rewards
Rozcash
Watch, play, complete tasks, and redeem rewards easily.
Ad. 18+
13 227
๐ฏ DigitalPlatDev/FreeDomain landed on trending. Worth a proper look.
๐ https://github.com/DigitalPlatDev/FreeDomain
๐ 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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๐ง Channel: https://t.me/GithubRe13 227
๐ Deep-diving into Crosstalk-Solutions/project-nomad โ fresh off the trending list.
๐ https://github.com/Crosstalk-Solutions/project-nomad
๐ 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 empoweredโanytime, 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 empoweredโanytime, 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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๐ง Channel: https://t.me/GithubRe13 227
๐ Biohub/esm caught my eye on GitHub Trending today.
๐ https://github.com/Biohub/esm
๐ 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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๐ Spotted on GitHub Trending: byoungd/English-level-up-tips โ let's break it down.
๐ https://github.com/byoungd/English-level-up-tips
๐ An advanced guide to learn English which might benefit you a lot ๐ . ็ฆป่ฐฑ็่ฑ่ฏญๅญฆไน ๆๅ/่ฑ่ฏญๅญฆไน ๆ็จ/่ฑ่ฏญๅญฆไน /ๅญฆ่ฑ่ฏญ
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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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๐ง Channel: https://t.me/GithubRe13 227
๐ฅ galilai-group/stable-worldmodel is trending โ and it deserves your attention.
๐ https://github.com/galilai-group/stable-worldmodel
๐ 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
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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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๐ฅ run-llama/liteparse is trending โ and it deserves your attention.
๐ https://github.com/run-llama/liteparse
๐ 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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๐ง Channel: https://t.me/GithubRe13 227
๐ก cursor/plugins just hit the trending charts โ here's why it matters.
๐ https://github.com/cursor/plugins
๐ 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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๐ง Channel: https://t.me/GithubRe