Github Top Repositories
Kanalga Telegram’da o‘tish
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Ko'proq ko'rsatish📈 Telegram kanali Github Top Repositories analitikasi
Github Top Repositories (@githubre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 14 210 obunachidan iborat bo'lib, Taʼlim toifasida 13 963-o'rinni va Hindiston mintaqasida 28 251-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 14 210 obunachiga ega bo‘ldi.
31 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 287 ga, so‘nggi 24 soatda esa 19 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 0.99% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.65% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 141 marta ko‘riladi; birinchi sutkada odatda 93 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent repository, fork, programming, statistic, description kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 01 Sentabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
14 210
Obunachilar
+1924 soatlar
+877 kunlar
+28730 kunlar
Postlar arxiv
14 225
🎯 chriskohlhoff/asio landed on trending. Worth a proper look.
🔗 https://github.com/chriskohlhoff/asio
📝 Asio C++ Library
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The chriskohlhoff/asio GitHub repository provides a cross-platform C++ library for network and low-level I/O programming. Its main purpose is to enable developers to write single-threaded concurrent code using the
async/await model. The library offers key features such as support for TCP, UDP, SSL/TLS, and WebSocket protocols, as well as timers and buffers. Usage is facilitated through a simple and intuitive API, as documented on the think-async.com website. From a technical perspective, Asio is a header-only library, making it easy to integrate into existing projects. It's suitable for C++ developers of all levels, from beginners to seasoned professionals, looking to build scalable and efficient network applications. This library is a must-have for any C++ developer - async programming just got a whole lot easier!
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🧠 Channel: https://t.me/GithubRe14 225
🌟 wonderwhy-er/DesktopCommanderMCP caught my eye on GitHub Trending today.
🔗 https://github.com/wonderwhy-er/DesktopCommanderMCP
📝 This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities
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Introducing Desktop Commander MCP, a powerful tool that puts all your AI development tools in one place. With its remote AI control feature, you can use it from ChatGPT, Claude web, and other AI services via
Remote MCP. This tool offers a wide range of features, including file preview UI, enhanced terminal commands, instant data analysis, and support for various file formats like Excel, PDF, and DOCX.
You can install Desktop Commander MCP using various methods, including npx, bash script, Smithery, or Docker installation. The tool also provides a comprehensive audit logging system and security hardening features to ensure your safety.
The Desktop Commander App is also available, offering a dedicated and polished experience with features like use of any AI model, live file changes, and custom MCPs and context.
Key features include:
- Remote AI Control
- File Preview UI
- Enhanced terminal commands
- Instant data analysis
- Native Excel file support
Technical highlights:
- Model Context Protocol (MCP)
- Docker isolation
- vscode-ripgrep based recursive code search
The tool is designed for AI developers and power users who want to streamline their workflow and have more control over their development environment.
In a nutshell, Desktop Commander MCP is a game-changer for AI development, and its one-liner takeaway is: Unlock the full potential of AI development with Desktop Commander MCP, where code meets convenience.
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🧠 Channel: https://t.me/GithubRe
14 225
💡 openai/plugins just hit the trending charts — here's why it matters.
🔗 https://github.com/openai/plugins
📝 OpenAI Plugins
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The openai/plugins repository is a treasure trove of Codex plugin examples, each with its own unique features and capabilities. The key to these plugins is the
.codex-plugin/plugin.json manifest, which defines how they work. You can find a range of plugins, from design-focused ones like plugins/figma to development-oriented ones like plugins/build-ios-apps. The usage is straightforward: each plugin has its own directory under plugins// and can include various companion files. The repository also features a marketplace that showcases these plugins, making it easy to discover and use them. Whether you're a developer, designer, or simply a curious user, this repository has something for everyone. With its vast array of plugins and intuitive usage, the openai/plugins repository is a game-changer - and the best part? It's all open-source! You can explore, learn from, and contribute to these plugins, making it an incredible resource for the community. Code on, and remember: the power of plugins is in your hands!
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🧠 Channel: https://t.me/GithubRe14 225
🔍 Deep-diving into zeux/meshoptimizer — fresh off the trending list.
🔗 https://github.com/zeux/meshoptimizer
📝 Mesh optimization library that makes meshes smaller and faster to render
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meshoptimizer is a powerful library that helps optimize triangle meshes for efficient rendering on GPUs. Its primary purpose is to reduce the complexity and storage overhead of 3D models by providing algorithms for indexing, vertex cache optimization, overdraw optimization, vertex fetch optimization, vertex quantization, and index filtering.
The library offers a
C and C++ interface, making it accessible from various programming languages. It's also available as a JavaScript interface for some algorithms. The library is well-documented, and its source files are organized for easy integration into existing projects.
Mesh optimization involves several stages, including indexing, vertex cache optimization, and vertex quantization. The library provides functions like meshopt_generateVertexRemap for indexing, meshopt_optimizeVertexCache for vertex cache optimization, and meshopt_optimizeVertexFetch for vertex fetch optimization.
The library is suitable for developers working with 3D graphics, game development, and other fields that require efficient rendering of complex meshes. With its efficient algorithms and flexible interface, meshoptimizer is an excellent tool for anyone looking to improve the performance of their 3D applications.
Optimize your 3D models with meshoptimizer and take your graphics to the next level - render faster, render better!
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🧠 Channel: https://t.me/GithubRe14 225
🔍 Deep-diving into hashicorp/terraform — fresh off the trending list.
🔗 https://github.com/hashicorp/terraform
📝 Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
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Terraform is a powerful tool for building, changing, and versioning infrastructure safely and efficiently. It allows you to manage existing and popular service providers as well as custom in-house solutions using infrastructure as code. The key features of Terraform include:
-
Infrastructure as Code: describing infrastructure using a high-level configuration syntax,
- Execution Plans: generating an execution plan to avoid surprises when manipulating infrastructure,
- Resource Graph: building a graph of all resources and parallelizing their creation and modification,
- Change Automation: applying complex changesets with minimal human interaction.
You can get started with Terraform by checking out the official documentation and guides. Whether you're a developer, operator, or DevOps engineer, Terraform is a great tool to learn.
To get the most out of Terraform, you can also get certified.
Terraform is written in Go and is licensed under the Business Source License 1.1.
Terraform is a game-changer for infrastructure management: it's time to terraform your cloud!
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🧠 Channel: https://t.me/GithubRe14 225
🔍 Deep-diving into google-labs-code/stitch-skills — fresh off the trending list.
🔗 https://github.com/google-labs-code/stitch-skills
📝 A library of Agent Skills designed to work with the Stitch MCP server. Each skill follows the Agent Skills open standard, for compatibility with coding agents such as Antigravity, Gemini CLI, Claude Code, Cursor.
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The google-labs-code/stitch-skills GitHub repository offers a collection of agent skills and plugins for Google Stitch, following the Agent Skills open standard. Compatible with coding agents like Codex, Antigravity, Gemini CLI, Claude Code, and Cursor, these plugins enable design-focused skills, build and component skills, and utility skills.
To get started, users can install plugins using the
codex plugin marketplace add command or via the Codex UI, and then install specific skills like stitch-design, stitch-build, and stitch-utilities. The repository is structured into plugins for design, build, and utilities, with each skill following the Agent Skills standard.
The skills available include code-to-design, generate-design, manage-design-system, and more, with examples and documentation provided. The project is not an officially supported Google product, but it's a great resource for those looking to enhance their Stitch experience.
One-liner takeaway: Supercharge your Google Stitch workflow with the stitch-skills repository, unlocking a wide range of design and development capabilities.
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🧠 Channel: https://t.me/GithubRe14 225
💡 davila7/claude-code-templates just hit the trending charts — here's why it matters.
🔗 https://github.com/davila7/claude-code-templates
📝 CLI tool for configuring and monitoring Claude Code
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The Claude Code Templates repository on GitHub offers a comprehensive collection of ready-to-use configurations for Anthropic's Claude Code. This collection includes
AI agents, custom commands, settings, hooks, and external integrations to enhance your development workflow.
You can browse and install components and templates using an interactive web interface at aitmpl.com. The repository also provides quick installation options using npx claude-code-templates@latest with various flags for different components.
The project includes a range of development tools, such as Claude Code Analytics, Conversation Monitor, Health Check, and Plugin Dashboard.
Main features include:
- 100+ agents, commands, settings, hooks, and MCPs
- Interactive web interface for browsing and installation
- Support for custom commands and external integrations
- Comprehensive documentation and guides
The target audience for this repository is primarily developers looking to streamline their workflow with Claude Code.
The project is licensed under the MIT License and welcomes contributions from the community.
One-liner takeaway: Kickstart your development with Claude Code Templates and supercharge your workflow with 100+ ready-to-use configurations!
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🧠 Channel: https://t.me/GithubRe
14 225
🔥 abseil/abseil-cpp is trending — and it deserves your attention.
🔗 https://github.com/abseil/abseil-cpp
📝 Abseil Common Libraries (C++)
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The Abseil C++ library is an open-source collection of C++ code designed to augment the C++ standard library. It's a set of libraries, including base, algorithm, container, and strings, that provide additional functionality and utilities for C++ developers.
To get started, you can follow the
Abseil Quickstart guide, which provides information on setting up your development environment, downloading the Abseil code, and running tests. The library can be built using Bazel or CMake.
Abseil is designed to be compatible with the C++ standard library and provides a range of features, including absl::Cleanup for executing callbacks on scope exit, and absl::Status for error handling.
The library is licensed under the Apache license and is suitable for a wide range of C++ developers, from beginners to experienced professionals.
In short, Abseil is a powerful and flexible library that can help take your C++ development to the next level - so why not augment your code with Abseil today?
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🧠 Channel: https://t.me/GithubRe14 225
⚡ catchorg/Catch2 is making waves. Here's the full picture.
🔗 https://github.com/catchorg/Catch2
📝 A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
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Catch2 is a popular unit testing framework for C++, also providing micro-benchmarking features and simple BDD macros. Its key advantage is simplicity and natural usage, with test names not limited to valid identifiers and assertions resembling normal C++ boolean expressions.
Key features include easy-to-write tests, support for sections to share set-up and tear-down code, and a growing list of
benchmark capabilities.
To get started with Catch2, you can explore the provided tutorial and reference section in the documentation.
From a technical standpoint, Catch2 has recently transitioned to a multi-header, compiled library in its v3 version. This change brings significant updates, and migration guidelines are available for those moving from v2 to v3.
Catch2 is suitable for a wide range of developers, from those looking to write simple unit tests to those interested in more advanced micro-benchmarking and BDD features.
One-liner takeaway: Catch2 simplifies unit testing in C++, making it easier to write and run tests, and explore micro-benchmarking capabilities with a natural, developer-friendly approach.
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🧠 Channel: https://t.me/GithubRe14 225
🌟 vercel/next.js caught my eye on GitHub Trending today.
🔗 https://github.com/vercel/next.js
📝 The React Framework
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The Next.js repository on GitHub is a popular React-based framework for building server-rendered, statically generated, and performance-optimized web applications. It provides a set of key features such as server-side rendering, static site generation, and internationalization.
To use Next.js, you can create a new project using
npm init next-app or yarn create next-app, and then start developing your application.
From a technical perspective, Next.js uses React as its core library and provides a set of API routes for handling server-side requests. It also includes support for internationalization and accessibility features.
Next.js is ideal for web developers and frontend engineers who want to build fast, scalable, and maintainable web applications.
In short, Next.js is the go-to framework for building high-performance web apps - and with it, you can build the future of the web!
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🧠 Channel: https://t.me/GithubRe14 225
🌟 grpc/grpc caught my eye on GitHub Trending today.
🔗 https://github.com/grpc/grpc
📝 C++ based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
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The gRPC project is a modern, high-performance remote procedure call (RPC) framework that can run anywhere. It enables client and server applications to communicate transparently, simplifying the building of connected systems. Key features include support for multiple languages, such as
C++, Java, Python, and Node, as well as a shared C++ core library.
To get started, you can add the gRPC runtime to your project using your language's package manager. For example, in Python, you can use pip install grpcio, while in Node, you can use npm install @grpc/grpc-js.
The project is open to contributions, and the documentation provides detailed guides and tutorials for each language. With its high-performance capabilities and language support, gRPC is a great choice for building connected systems. Dive in and explore the gRPC ecosystem to see how it can transform your development workflow - build faster, connect everything.
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🧠 Channel: https://t.me/GithubRe14 225
⚡ hashicorp/terraform is making waves. Here's the full picture.
🔗 https://github.com/hashicorp/terraform
📝 Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
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Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Its key features include Infrastructure as Code, allowing you to describe infrastructure using a high-level configuration syntax, Execution Plans to avoid surprises when manipulating infrastructure, and a Resource Graph for efficient infrastructure creation.
To get started with Terraform, you can visit the Terraform website for documentation, guides, and tutorials. The
terraform command line interface is used to manage infrastructure, and providers can be automatically downloaded from the Terraform Registry.
Terraform is ideal for DevOps teams, operators, and developers who want to manage their infrastructure in a more efficient and automated way. With its Change Automation feature, complex changes can be applied with minimal human interaction.
Here's a basic terraform example:
provider "aws" {
region = "us-west-2"
}
resource "aws_instance" "example" {
ami = "ami-0c94855ba95c71c99"
instance_type = "t2.micro"
}14 225
🌻 Your own little farm — right inside Telegram
No downloads, no sign-ups. Tap once and you're harvesting your first crop 30 seconds later.
🌾 Plant, water and harvest 14 crops — from wheat to mango
🐮 Raise chickens, cows, sheep and pigs — fill the trough, collect the basket
🌉 Grow from 4 plots to three whole islands: chase the crows off one, plow the other with a tractor
🏆 Race friends in daily harvest tournaments and trade at the roadside market
Cozy, free, and your progress saves itself — come back any time, your farm is waiting.
👉 Plant your first seed
#ad 📢 InsideAd
14 225
🔥 iOfficeAI/OfficeCLI is trending — and it deserves your attention.
🔗 https://github.com/iOfficeAI/OfficeCLI
📝 OfficeCLI is the first and best Office suite purpose-built for AI agents to read, edit, and automate Word, Excel, and PowerPoint files. Free, open-source, single binary, no Office installation required.
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OfficeCLI is an open-source Office suite designed for AI agents, providing full control over Word, Excel, and PowerPoint in one line of code. Key features include a built-in HTML rendering engine for high-fidelity document reproduction, and the ability to create, read, and edit Office documents without installing Office or dependencies.
Usage is straightforward: AI agents can install the skill file with a single command, while humans can use the GUI AionUi or the command-line interface.
officecli install copies the binary to the system PATH and installs the skill into detected AI coding agents.
Technical highlights include support for 350+ Excel functions, phonetic guides in Excel cells, and RTL support in Word. The officecli command allows for various operations, such as creating a blank PowerPoint presentation, adding slides and shapes, and viewing documents as HTML or outline.
The target audience includes AI agents, developers, and humans looking for a simple way to work with Office documents.
In short, OfficeCLI simplifies Office document management for AI and humans alike - give your AI agent one line of code and watch it create stunning documents.
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🧠 Channel: https://t.me/GithubRe
14 225
🔍 Deep-diving into google-labs-code/stitch-skills — fresh off the trending list.
🔗 https://github.com/google-labs-code/stitch-skills
📝 A library of Agent Skills designed to work with the Stitch MCP server. Each skill follows the Agent Skills open standard, for compatibility with coding agents such as Antigravity, Gemini CLI, Claude Code, Cursor.
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The google-labs-code/stitch-skills GitHub repository offers a collection of agent skills and plugins for Google Stitch, following the
Agent Skills open standard. These skills are compatible with coding agents like Codex, Antigravity, and Gemini CLI.
To get started, you can install plugins using the Codex CLI or UI, or add skills selectively. The repository includes design-focused skills (stitch-design), build and component skills (stitch-build), and utility skills (stitch-utilities).
Some key features include:
- Converting frontend code to Stitch Design
- Generating new screens from text or images
- Managing design systems and uploading local assets
The repository is structured to follow the Agent Skills standard, with each skill having its own directory and files for scripts, resources, and examples.
Key takeaway: The google-labs-code/stitch-skills repository provides a robust set of skills and plugins to enhance your Google Stitch experience, and is a great resource for developers looking to streamline their design and development workflow.
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🧠 Channel: https://t.me/GithubRe14 225
🔍 Deep-diving into tailscale/tailscale — fresh off the trending list.
🔗 https://github.com/tailscale/tailscale
📝 The easiest, most secure way to use WireGuard and 2FA.
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Tailscale makes setting up private WireGuard networks a breeze. The
tailscale/tailscale repository contains the core of Tailscale's open-source code, including the tailscaled daemon and the tailscale CLI tool. These tools run on various platforms, including Linux, Windows, macOS, FreeBSD, and OpenBSD.
To get started, you can use the pre-built packages available for different distros and platforms at https://pkgs.tailscale.com. If you prefer to build from source, make sure you have the latest Go release installed.
Key features include easy setup, secure networking, and cross-platform compatibility. Technical highlights of this repository include the use of WireGuard and Go.
The target audience for this repository includes developers, network administrators, and anyone looking to set up a secure, private network.
To build Tailscale, use the following command:
go install tailscale.com/cmd/tailscale{,d}14 225
🔥 zeux/meshoptimizer is trending — and it deserves your attention.
🔗 https://github.com/zeux/meshoptimizer
📝 Mesh optimization library that makes meshes smaller and faster to render
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The meshoptimizer library is designed to optimize triangle meshes for efficient rendering on GPUs. Its primary purpose is to reduce the complexity and storage overhead of meshes, while improving rendering performance. The library provides a range of algorithms for indexing, vertex cache optimization, overdraw optimization, vertex fetch optimization, and vertex quantization.
To use the library, you can include the C-compatible header file
meshoptimizer.h in your project and implement the desired optimization techniques. The library provides a simple and efficient way to optimize meshes, with a focus on performance and ease of use.
Some of the key features of the meshoptimizer library include:
- Indexing and reindexing of meshes
- Vertex cache optimization to reduce redundant vertex shader invocations
- Overdraw optimization to minimize the number of pixels that need to be rendered
- Vertex fetch optimization to improve memory locality
- Vertex quantization to reduce memory bandwidth and storage requirements
The library is highly customizable and can be used in a variety of applications, from game development to scientific visualization. With its efficient algorithms and easy-to-use API, the meshoptimizer library is a valuable tool for anyone working with 3D graphics.
In short, meshoptimizer is a powerful library that helps you optimize your meshes for better performance, and its takeaway is: Optimize your meshes, unlock your GPU's full potential!
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🧠 Channel: https://t.me/GithubRe