Github Top Repositories
Top GitHub repositories in one place π Explore the best projects in programming, AI, data science, and more.
Ko'proq ko'rsatishπ Telegram kanali Github Top Repositories analitikasi
Github Top Repositories (@githubre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 14 225 obunachidan iborat bo'lib, TaΚΌlim toifasida 13 933-o'rinni va Hindiston mintaqasida 28 177-o'rinni egallagan.
π Auditoriya koβrsatkichlari va dinamika
Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβsib, 14 225 obunachiga ega boβldi.
31 Avgust, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 287 ga, soβnggi 24 soatda esa 19 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya oβrtacha 0.99% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.65% ini tashkil etuvchi reaksiyalarni toβplaydi.
- Post qamrovi: Har bir post oβrtacha 141 marta koβriladi; birinchi sutkada odatda 93 ta koβrish yigβiladi.
- Reaksiyalar va oβzaro taβsir: Auditoriya faol: har bir postga oβrtacha 1 ta reaksiya keladi.
- Tematik yoβnalishlar: Kontent repository, fork, programming, statistic, description kabi asosiy mavzularga jamlangan.
π Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taβriflaydi:
βTop GitHub repositories in one place π
Explore the best projects in programming, AI, data science, and more.β
Yuqori yangilanish chastotasi (oxirgi maβlumot 01 Sentabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβlib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni TaΚΌlim toifasidagi muhim taβsir nuqtasiga aylantirishini koβrsatadi.
yt-dlp and ffmpeg under the hood.
Key features include:
- Zero-config installation
- Captions and transcript extraction
- Frame extraction and deduplication
- Support for various video sources and formats
Technical highlights:
- yt-dlp for video downloading and caption extraction
- ffmpeg for frame extraction and processing
- Whisper API for audio transcription
Audience: Developers, researchers, and anyone who wants to analyze videos with Claude.
To get started, npx skills add bradautomates/claude-video -g or follow the installation instructions in the README.
With Claude Video, you can watch, analyze, and understand videos like never before β it's like having a superpower for video analysis.
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π§ Channel: https://t.me/GithubReofficecli command for creating, reading, and editing Office documents
- Support for various document elements, such as text, images, tables, and charts
- Live preview for instant feedback
Technical features:
- install command for easy setup
- create, add, set, and remove commands for document manipulation
- view command for rendering documents as HTML or outline
Audience: AI developers, Office power users, and anyone looking for a seamless Office experience.
One-liner takeaway: OfficeCLI empowers AI agents to create stunning Office documents in seconds, streamlining content creation and automation.
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π§ Channel: https://t.me/GithubRedotnet, dotnet-advanced, and dotnet-data, which provide skills for .NET language server integration, data access, and performance investigations.
To use these skills, you can install them via the Copilot CLI, VS Code, Cursor, or Codex CLI. For example, you can add the marketplace using /plugin marketplace add dotnet/skills and then install a plugin.
This repository is designed for .NET developers and coding agent users who want to leverage the power of AI and ML in their development workflows. With these skills, you can improve your coding efficiency, troubleshoot issues, and explore new technologies.
One-liner takeaway: Unlock the full potential of .NET development with the dotnet/skills repository, your one-stop-shop for AI-powered coding agents and custom skills.
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π§ Channel: https://t.me/GithubRecodexbar CLI for scripts and CI.
Audience includes developers and users who rely on multiple AI coding providers and want to keep track of their limits and usage in one place.
Get started with brew install --cask codexbar and take control of your AI coding limits - never run out of tokens again!
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π§ Channel: https://t.me/GithubRegit clone the repository, install the necessary dependencies with npm install, and start the application with npm start. The tool can be accessed at http://localhost:3000/.
Some of the key wget parameters used include --mirror, --convert-links, and --page-requisites, which enable recursive downloading, conversion of links to relative formats, and downloading of required page assets, respectively.
The tool can be deployed on various cloud providers, including Replit, Glitch, and Render, using the provided deploy buttons.
Whether you're a developer looking to test websites offline or a user wanting to save a website for later, the Website-downloader is a valuable resource.
In short, with the Website-downloader, you can download an entire website with just a few clicks.
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π§ Channel: https://t.me/GithubResub-60ms boot, high density, and auto pause/resume for cost optimization. The service is also E2B-compatible, allowing for seamless migration.
The technical highlights of CubeSandbox include its ability to create a hardware-isolated, fully serviceable sandbox in under 60ms with less than 5MB of memory overhead. It supports both single-node deployment and easy scaling to multi-node clusters.
This project is ideal for developers and DevOps teams looking for a secure and efficient way to run AI agents. To get started, simply follow the four-step quick start guide, which includes provisioning a server, installing Cube Sandbox, creating a sandbox template, and running your first sandbox.
One-liner takeaway: With CubeSandbox, you can run thousands of secure, isolated AI agents on a single node in milliseconds.
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π§ Channel: https://t.me/GithubReSystem prompts are the secret sauce behind AI chatbots.
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π§ Channel: https://t.me/GithubReHome Assistant, Apple Home, Google Home, and Alexa, allowing for seamless voice control and automation.
Technical highlights of RuView include its ability to run on low-cost ESP32 hardware, leveraging Channel State Information (CSI) to capture disturbances in WiFi signals. The platform utilizes spiking neural networks for real-time learning and adaptation, with a pre-trained model available on Hugging Face.
Audience for RuView includes developers, researchers, and smart home enthusiasts interested in exploring the potential of WiFi sensing technology for various applications, from healthcare and security to smart buildings and home automation.
To get started with RuView, users can choose from multiple options, including a Docker setup for simulated data, live sensing with ESP32-S3 hardware, or a full system with Cognitum Seed for persistent storage and advanced features.
In summary, RuView is a groundbreaking WiFi sensing platform that turns ordinary WiFi into a spatial intelligence system, providing a robust and versatile solution for various applications: RuView sees through walls, and so can you.
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π§ Channel: https://t.me/GithubRe8 slash commands that map to different stages of development, such as /spec, /plan, /build, and /ship. These commands activate the right skills automatically, ensuring consistency and efficiency in the development process.
To get started, users can install the skills using the skills CLI or integrate them with various agents like Claude Code, Cursor, or Codex. The skills are designed to be flexible and can be used with any agent that accepts system prompts or instruction files.
The repository also includes technical highlights such as automated testing, code review, and performance optimization. The skills are structured as workflows with steps, verification gates, and anti-rationalization tables, making it easier for developers to follow best practices and ensure high-quality code.
Agent Skills is suitable for a wide range of users, from individual developers to large teams, and can be used with various programming languages and frameworks.
In summary, Agent Skills helps developers build better software, faster.
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π§ Channel: https://t.me/GithubRereal-time transcription, AI-powered summaries, and multi-platform support for macOS, Windows, and Linux. The application is open source and free to use, with flexible AI provider support and custom OpenAI endpoint configuration.
The installation process is straightforward, with options for Windows, macOS, and Linux. For developers, the repository provides detailed build instructions and a contributing guide.
A Meetily PRO upgrade is available for users who need enhanced accuracy and advanced features, including custom summary templates, advanced exports, and self-hosted deployment options.
Meetily is ideal for professionals, teams, and organizations that require a privacy-first meeting assistant with enterprise-ready capabilities.
One-liner takeaway: Meetily empowers you to have total control over your meeting data with its privacy-first AI meeting assistant.
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π§ Channel: https://t.me/GithubRedrafter-reviewer workflow, you can ensure that your applications are both relevant and effective.
To get started, simply fork and clone the repository, then follow the quick start guide to set up your profile and install the necessary job search tools. The framework includes features like expand to enrich your profile, upskill to analyze skill gaps, and add-template to register custom LaTeX templates.
The technical highlights of this framework include its use of LaTeX for CV and cover letter compilation, as well as its ATS verification process to ensure that your applications are optimized for applicant tracking systems. The framework also includes a salary_lookup.py tool for benchmarking salaries.
Whether you're a recent graduate or an experienced professional, AI Job Search is an invaluable resource for anyone looking to take their job search to the next level. So why wait? Clone the repository and start streamlining your job search today - and remember, with AI Job Search, you can apply smarter, not harder.
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π§ Channel: https://t.me/GithubRe