Endi mavjud! Telegram Tadqiqoti 2025 β yilning asosiy insaytlari 
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.
Ko'proq ko'rsatishπ Telegram kanali Github Top Repositories analitikasi
Github Top Repositories (@githubre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 241 obunachidan iborat bo'lib, TaΚΌlim toifasida 15 402-o'rinni va Hindiston mintaqasida 32 619-o'rinni egallagan.
π Auditoriya koβrsatkichlari va dinamika
Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβsib, 13 241 obunachiga ega boβldi.
08 Iyun, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 357 ga, soβnggi 24 soatda esa 10 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya oβrtacha 1.16% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.75% ini tashkil etuvchi reaksiyalarni toβplaydi.
- Post qamrovi: Har bir post oβrtacha 153 marta koβriladi; birinchi sutkada odatda 99 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 09 Iyun, 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.
13 241
Obunachilar
+1024 soatlar
+897 kunlar
+35730 kunlar
Postlar arxiv
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π― janestreet/magic-trace landed on trending. Worth a proper look.
π https://github.com/janestreet/magic-trace
π magic-trace collects and displays high-resolution traces of what a process is doing
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The magic-trace tool is a fascinating new way to understand what your code is actually doing. It collects and displays high-resolution traces of a process, allowing you to figure out why an application is handling some requests slowly, or to get a history of what your application was doing before it crashed. Key features include low overhead (2%-10%), no required application changes, and the ability to trace every function call with ~40ns resolution. To
use magic-trace, simply point it to a process and let it run, or attach it to a running process and detach it with Ctrl+C. The tool is designed for developers who want to gain a deeper understanding of their code's performance and behavior. From a technical standpoint, magic-trace uses Intel Processor Trace to snapshot a ring buffer of all control flow leading up to a chosen point in time. With its interactive timeline and zoomable interface, magic-trace is an invaluable tool for anyone looking to optimize their code. magic-trace13 238
β‘ yt-dlp/yt-dlp is making waves. Here's the full picture.
π https://github.com/yt-dlp/yt-dlp
π A feature-rich command-line audio/video downloader
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yt-dlp is a powerful command-line tool for downloading audio and video from over a thousand sites. It's a fork of the popular youtube-dl project, with a wide range of features and options. With yt-dlp, you can download videos in various formats, extract audio, and even modify metadata.
The tool is highly customizable, with support for configuration files, authentication, and plugins. You can use it on multiple platforms, including Windows, Linux, and MacOS, and it's available in various release channels, including
stable, nightly, and master.
To get started, you can install yt-dlp using pip or download the binaries from the official repository. The tool has an active community and is regularly updated to support new sites and features.
yt-dlp is perfect for users who want more control over their video downloads, including developers, power users, and anyone looking for a reliable and flexible tool.
Takeaway: With yt-dlp, you can "download the internet, one video at a time".
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π§ Channel: https://t.me/GithubRe13 238
π Spotted on GitHub Trending: NVlabs/LongLive β let's break it down.
π https://github.com/NVlabs/LongLive
π LongLive 2.0: Infra - Long Video Gen
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LongLive 2.0 is an NVFP4 parallel infrastructure for long video generation, allowing for real-time interactive video generation. The key features of this project include balanced sequence parallelism for AR training, multi-shot attention sink, and sequence parallel inference. To get started, you can follow the
Quick Start guide, which provides examples for both BF16 and NVFP4 setups. The project is designed to be user-friendly, with a Full Documentation available for more detailed information. The code is released under the Apache 2.0 license, and the authors request that you cite their work if you find it useful. With LongLive 2.0, you can generate long videos in real-time, making it a powerful tool for a variety of applications. LongLive 2.0: empowering creators to generate stunning long videos in no time.
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π§ Channel: https://t.me/GithubRe
13 238
π Spotted on GitHub Trending: odoo/odoo β let's break it down.
π https://github.com/odoo/odoo
π Odoo. Open Source Apps To Grow Your Business.
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Oboo is an open-source suite of business apps, offering a wide range of tools to manage various aspects of a business. Key features include
CRM, Website Builder, eCommerce, Warehouse Management, and more. These apps can be used standalone or integrated to form a full-featured ERP system. To get started, follow the setup instructions or explore the Odoo eLearning platform. Developers can dive into the developer tutorials to learn more. From a technical standpoint, Odoo is built with a focus on security, with a responsible disclosure policy in place. Whether you're a business user or a developer, Odoo has something to offer. One thing is sure: Oboo will revolutionize the way you manage your business - all in one place!
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π§ Channel: https://t.me/GithubRe13 238
π Meet trimstray/the-book-of-secret-knowledge: a gem from today's GitHub trending list.
π https://github.com/trimstray/the-book-of-secret-knowledge
π A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
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The Book of Secret Knowledge is a GitHub repository containing a vast collection of lists, manuals, cheatsheets, blogs, hacks, and tools. It's a valuable resource for System and Network administrators, DevOps, Pentesters, and Security Researchers. The repo is
open-source and welcomes contributions from everyone.
It covers various topics such as CLI Tools, GUI Tools, Web Tools, Systems/Services, Networks, and more. The Table of Contents is well-organized, making it easy to find specific information.
With its easy-to-contribute guidelines and clear rules, this project aims to provide high-quality content. Whether you're looking for shell plugins, text editors, or network tools, the Book of Secret Knowledge has got you covered.
In short, the Book of Secret Knowledge is a one-stop-shop for anyone looking to expand their knowledge and toolkit - use it wisely.
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π§ Channel: https://t.me/GithubRe13 238
β‘ multica-ai/multica is making waves. Here's the full picture.
π https://github.com/multica-ai/multica
π The open-source managed agents platform. Turn coding agents into real teammates β assign tasks, track progress, compound skills.
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Multica is an open-source platform that turns coding agents into real teammates. With Multica, you can assign tasks to agents, track progress, and compound reusable skills over time. Key features include agents as teammates, squads, autonomous execution, reusable skills, unified runtimes, and multi-workspace support.
To
get started, you can install Multica using Homebrew, an install script, or PowerShell. Then, set up and start the daemon, verify your runtime, create an agent, and assign your first task.
The platform is designed for human + AI teams and supports various agent providers, including Claude Code, Codex, and GitHub Copilot CLI. Multica's technical highlights include a Next.js frontend, Go backend, PostgreSQL database, and local agent daemon.
Audience: Developers, teams, and organizations looking to leverage AI agents to streamline their workflow and improve productivity.
In summary, Multica empowers you to work with coding agents as teammates, unlocking a new era of productivity and efficiency - your next 10 hires won't be human.
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π§ Channel: https://t.me/GithubRe
13 238
π Meet presenton/presenton: a gem from today's GitHub trending list.
π https://github.com/presenton/presenton
π Open-Source AI Presentation Generator and API (Gamma, Beautiful AI, Decktopus Alternative)
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Presenton is an open-source AI presentation generator and API that offers a self-hosted solution, giving you full control over your models and data. With no SaaS lock-in or forced subscriptions, you can use it with various models like OpenAI, Gemini, Vertex AI, and more. The key features include
AI presentation generation, customizable templates and themes, and export options to PPTX and PDF. You can run Presenton using Docker or as an Electron desktop app on Windows, macOS, or Linux. It's also deployable to cloud providers like Railway and DigitalOcean. Presenton is fully editable and allows you to bring your own models and API keys, making it a versatile tool for creating professional presentations. Get started with Presenton today and take control of your AI presentation workflow!
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π§ Channel: https://t.me/GithubRe
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β‘ mukul975/Anthropic-Cybersecurity-Skills is making waves. Here's the full picture.
π https://github.com/mukul975/Anthropic-Cybersecurity-Skills
π 754 structured cybersecurity skills for AI agents Β· Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF Β· agentskills.io standard Β· Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms Β· 26 security domains Β· Apache 2.0
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The Anthropic Cybersecurity Skills GitHub repository is a game-changer for AI agents in the cybersecurity space. It provides a massive library of 754 production-grade cybersecurity skills across 26 security domains, all mapped to five industry frameworks (MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, and NIST AI RMF). This allows AI agents to gain expert-level guidance in seconds, bridging the cybersecurity workforce gap.
To get started, users can simply clone the repository or use
npx skills add mukul975/Anthropic-Cybersecurity-Skills for a quick setup. The repository is compatible with various AI platforms, including Claude Code, GitHub Copilot, and OpenAI Codex CLI.
The skills are structured in a YAML frontmatter format for easy discovery and a Markdown body for step-by-step execution. Each skill includes references, scripts, and assets to provide deep technical context.
The repository is perfect for security professionals, developers, and enterprise teams looking to enhance their AI agents' capabilities. With this library, AI agents can perform tasks such as threat hunting, incident response, and vulnerability management with ease.
In a nutshell, the Anthropic Cybersecurity Skills repository is a powerful tool that gives AI agents the security skills of a senior analyst, and that's a huge deal!
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π§ Channel: https://t.me/GithubRe
13 238
β‘ ChromeDevTools/chrome-devtools-mcp is making waves. Here's the full picture.
π https://github.com/ChromeDevTools/chrome-devtools-mcp
π Chrome DevTools for coding agents
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The ChromeDevTools/chrome-devtools-mcp repository on GitHub provides a Model-Context-Protocol (MCP) server that enables coding agents like Antigravity, Claude, and Copilot to control and inspect a live Chrome browser. This allows for reliable automation, in-depth debugging, and performance analysis.
Key features include:
-
Advanced browser debugging: Analyze network requests, take screenshots, and check browser console messages.
- Performance insights: Record traces and extract actionable performance insights using Chrome DevTools.
- Reliable automation: Automate actions in Chrome using puppeteer and automatically wait for action results.
To get started, add the following config to your MCP client:
{
"mcpServers": {
"chrome-devtools": {
"command": "npx",
"args": ["-y", "chrome-devtools-mcp@latest"]
}
}
}
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β‘ dotnet/skills is making waves. Here's the full picture.
π https://github.com/dotnet/skills
π Repository for skills to assist AI coding agents with .NET and C#
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The dotnet/skills repository is a curated set of core skills and custom agents for coding agents. It provides a range of plugins, including dotnet, dotnet-data, dotnet-diag, and more, each with its own set of skills for handling common .NET coding tasks.
To use these skills, you can install them via the
Copilot CLI or Claude Code by adding the dotnet/skills marketplace and installing the desired plugin. You can also install them in VS Code or VS Code Insiders by enabling plugin support and adding the dotnet/skills marketplace to your settings.
Additionally, this repository is a Cursor plugin marketplace, allowing you to discover and install published plugins directly in Cursor. The skills in this repository follow the agentskills.io open standard and are compatible with OpenAI Codex.
The target audience for this repository includes .NET developers, coding agents, and anyone looking to leverage the power of AI and ML in their development workflow.
One key takeaway: With dotnet/skills, you can supercharge your .NET development with AI-powered coding agents and take your productivity to the next level.
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π§ Channel: https://t.me/GithubRe13 238
π Deep-diving into multica-ai/andrej-karpathy-skills β fresh off the trending list.
π https://github.com/multica-ai/andrej-karpathy-skills
π A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
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The multica-ai/andrej-karpathy-skills GitHub repository offers a set of guidelines to improve the behavior of Claude Code, a coding assistant, by addressing common pitfalls observed by Andrej Karpathy. These guidelines are centered around four key principles: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution.
The
CLAUDE.md file contains these principles, which can be installed as a Claude Code plugin or added to a project manually. The guidelines promote explicit reasoning, simplicity, and minimal changes, and they encourage the definition of success criteria to transform imperative tasks into verifiable goals.
These guidelines are suitable for developers and teams looking to improve the efficiency and reliability of their coding workflows. By following these principles, users can reduce unnecessary changes, overcomplication, and mistakes, leading to cleaner and more minimal code.
One key technical highlight is the use of a CLAUDE.md file to apply these guidelines across projects, making it easy to adopt and customize the principles for specific use cases.
In summary, the multica-ai/andrej-karpathy-skills repository provides a valuable resource for improving coding practices, and its guidelines can be applied to various projects to promote better coding habits: By giving your coding assistant clear goals and guidelines, you can unlock its full potential and work more efficiently.
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π§ Channel: https://t.me/GithubRe13 238
π₯ Fincept-Corporation/FinceptTerminal is trending β and it deserves your attention.
π https://github.com/Fincept-Corporation/FinceptTerminal
π FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
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The Fincept Terminal is a state-of-the-art financial intelligence platform that offers institutional-grade financial analytics, AI automation, and unlimited data connectivity. Its key features include multi-asset analytics, AI agents, and 100+ data connectors. To use the Fincept Terminal, you can either download the installer from the GitHub releases page or build it from source using CMake and Qt 6.8.3.
The platform is built using
C++20 and Qt6 for the UI, and it also includes embedded Python for analytics. The setup.sh
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π Deep-diving into rohitg00/ai-engineering-from-scratch β fresh off the trending list.
π https://github.com/rohitg00/ai-engineering-from-scratch
π Learn it. Build it. Ship it for others.
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The AI Engineering from Scratch curriculum is a comprehensive, 20-phase journey that equips students with the skills to build AI systems from the ground up. With 435 lessons, ~320 hours of content, and support for
Python, TypeScript, Rust, and Julia, this curriculum aims to bridge the gap between AI theory and practical application. Each lesson follows a consistent structure, starting with the math behind an algorithm, then implementing it from scratch, and finally using it in a real-world context. The curriculum is designed to be free, open-source, and MIT-licensed. The target audience includes anyone who wants to understand how AI actually works, not just call APIs - you don't just learn AI, you build it, end-to-end, by hand. With a focus on hands-on learning and reusable artifacts, this curriculum is perfect for those who want to gain a deep understanding of AI engineering. In short, AI Engineering from Scratch is the ultimate resource for anyone looking to master the art of building AI systems from scratch - build it, don't just memorize it.
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π§ Channel: https://t.me/GithubRe13 238
π₯ colbymchenry/codegraph is trending β and it deserves your attention.
π https://github.com/colbymchenry/codegraph
π Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, OpenCode, and Hermes Agent β fewer tokens, fewer tool calls, 100% local
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CodeGraph is a tool that supercharges your coding experience with semantic code intelligence. It integrates with agents like Claude Code, Cursor, Codex CLI, opencode, and Hermes Agent to provide features like smart context building, full-text search, and impact analysis.
To get started, simply run the installer with
npx @colbymchenry/codegraph or use a package manager like npm. The installer will guide you through the configuration process, including setting up your agent and initializing your project with codegraph init -i.
Key Features include:
* Framework-aware routes for web frameworks like Django, Flask, and Express
* Support for 19+ languages, including TypeScript, JavaScript, and Python
* 100% local operation, with no data leaving your machine
The Benchmark Results show that CodeGraph can reduce costs by 35%, tokens by 59%, and tool calls by 70%. Overall, CodeGraph is designed to help developers work more efficiently and effectively.
Supercharge your coding experience with CodeGraph - it's like having a personal coding assistant!
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π§ Channel: https://t.me/GithubRe
