Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Больше📈 Аналитический обзор Telegram-канала Github Top Repositories
Канал Github Top Repositories (@githubre) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 15 212 подписчиков, занимая 13 433 место в категории Образование и 26 115 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 15 212 подписчиков.
Согласно последним данным от 04 ноября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 407, а за последние 24 часа — 27, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 0.93%. В первые 24 часа после публикации контент обычно набирает 0.62% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 142 просмотров. В течение первых суток публикация набирает 95 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 1.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как repository, fork, programming, statistic, description.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Благодаря высокой частоте обновлений (последние данные получены 05 ноября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.
15 212
Подписчики
+2724 часа
+807 дней
+40730 дней
Архив постов
15 214
📌 Spotted on GitHub Trending: meshery/meshery — let's break it down.
🔗 https://github.com/meshery/meshery
📝 Meshery, the cloud native manager
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Meshery is a self-service engineering platform that enables the design and management of Kubernetes-based infrastructure and applications. Its key features include infrastructure lifecycle management, visual and collaborative GitOps, and
support for 380+ cloud native infrastructure integrations. Meshery provides a single pane of glass to manage multiple Kubernetes clusters across different cloud providers, allowing for consistent configuration, operation, and observability. It also offers dry-run deployments to simulate changes without applying them to the cluster, and context-aware policies to enforce configuration best practices. Meshery's workspaces feature enables team collaboration and organization, while its environments feature simplifies connection and credential management. Overall, Meshery is a powerful tool for managing cloud native infrastructure and applications. Try Meshery today and simplify your cloud native management!
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🧠 Channel: https://t.me/GithubRe
15 214
📌 Spotted on GitHub Trending: NVIDIA/SkillSpector — let's break it down.
🔗 https://github.com/NVIDIA/SkillSpector
📝 Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.
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SkillSpector is an open-source security scanner for AI agent skills, detecting vulnerabilities, malicious patterns, and security risks before installation. It features multi-format input, scanning various sources like Git repositories, URLs, zip files, and more.
64 vulnerability patterns are identified across 16 categories, including prompt injection, data exfiltration, and privilege escalation.
The scanner uses a two-stage analysis process, combining fast static analysis with optional LLM semantic evaluation. It provides live vulnerability lookups and supports multiple output formats, including terminal, JSON, Markdown, and SARIF reports. A risk scoring system assigns a 0-100 score with severity labels and clear recommendations.
Usage is straightforward, with installation options via pip or Docker. The docker run command allows for easy scanning of local directories or files. LLM analysis can be configured with various providers, such as OpenAI or Anthropic, for enhanced semantic evaluation.
SkillSpector is ideal for developers, security researchers, and AI enthusiasts seeking to ensure the safety and security of their AI agent skills. With its robust features and easy usage, SkillSpector is a valuable tool for anyone working with AI agents.
Don't let malicious skills compromise your AI: scan them with SkillSpector first!
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🧠 Channel: https://t.me/GithubRe15 214
💡 chatwoot/chatwoot just hit the trending charts — here's why it matters.
🔗 https://github.com/chatwoot/chatwoot
📝 Open-source live-chat, email support, omni-channel desk. An alternative to Intercom, Zendesk, Salesforce Service Cloud etc. 🔥💬
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🧠 Channel: https://t.me/GithubRe
15 214
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15 214
🔥 swc-project/swc is trending — and it deserves your attention.
🔗 https://github.com/swc-project/swc
📝 Rust-based platform for the Web
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The swc-project/swc repository is home to SWC, a super-fast TypeScript / JavaScript compiler written in Rust. Its primary purpose is to make web development faster. The key features of SWC include its speed, library for both Rust and JavaScript, and ability to work seamlessly with the latest versions of crates.
To get started with SWC, users can refer to the
parser documentation for Rust or the installation docs on the website for JavaScript. The project supports Node versions 10+ for usage and 20+ for development.
From a technical standpoint, SWC is built with Rust and has a minimum supported Rust version (MSRV) of 1.73. The project is community-driven, maintained by volunteers, and welcomes contributions and sponsorships.
Whether you're a developer looking to speed up your web development workflow or a contributor interested in supporting the project, SWC has something to offer. Takeaway: SWC is the speed boost your web development workflow needs.
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🧠 Channel: https://t.me/GithubRe15 214
🔥 pytest-dev/pytest is trending — and it deserves your attention.
🔗 https://github.com/pytest-dev/pytest
📝 The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
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Pytest is a testing framework that makes it easy to write small tests and scales to support complex functional testing for applications and libraries. The framework provides detailed assertion introspection, allowing users to simply use plain
assert statements.
Some key features include:
- Auto-discovery of test modules and functions
- Modular fixtures for managing test resources
- Support for running unittest test suites
- A rich plugin architecture with over 1300+ external plugins
To get started, users can write a simple test like this:
def inc(x):
return x + 1
def test_answer():
assert inc(3) == 5pytest.
Pytest is suitable for developers and testers who want a flexible and customizable testing framework. It supports Python 3.10+ and PyPy3, and has a thriving community with extensive documentation.
The framework is free and open source, licensed under the MIT license. For enterprise users, commercial support and maintenance are available through Tidelift.
In short, pytest is the perfect tool for anyone looking to make testing easy and efficient - with pytest, you can test less, code more.
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🧠 Channel: https://t.me/GithubRe15 214
🔥 freeCodeCamp/freeCodeCamp is trending — and it deserves your attention.
🔗 https://github.com/freeCodeCamp/freeCodeCamp
📝 freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
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The freeCodeCamp GitHub repository is the open-source codebase and curriculum for freeCodeCamp.org, a non-profit organization that offers a friendly community where you can learn to code for free. The platform provides a full-stack web development and machine learning curriculum with thousands of interactive coding challenges to help you expand your skills.
Key features include
certifications in areas like responsive web design, JavaScript, and back-end development, as well as language certifications in English, Spanish, and Chinese. The learning platform also includes a forum for programming help, a YouTube channel with free courses, and a technical publication with programming tutorials.
From a technical perspective, the repository is managed using a BSD-3-Clause license for the computer software and includes a detailed guide on contributing to the community. The code is running live at freeCodeCamp.org and is supported by a large community of developers and volunteers.
The freeCodeCamp community is designed for anyone looking to learn how to code, from beginners to experienced developers. Whether you're looking to transition into a career in tech or simply want to improve your coding skills, freeCodeCamp.org has something to offer.
One-liner takeaway: Learn to code for free with freeCodeCamp, a non-profit organization that provides a comprehensive curriculum, interactive coding challenges, and a supportive community to help you achieve your coding goals.
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🧠 Channel: https://t.me/GithubRe15 214
🎯 iptv-org/iptv landed on trending. Worth a proper look.
🔗 https://github.com/iptv-org/iptv
📝 Collection of publicly available IPTV channels from all over the world
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The iptv-org/iptv GitHub repository is a collection of publicly available IPTV channels from around the world. It's designed to be easy to use - simply paste a playlist link into a video player that supports live streaming, and you're good to go. The repository contains a main playlist with all available channels, as well as links to other playlists.
One of the key features of this repository is its
Electronic Program Guide (EPG), which can be downloaded using utilities from the iptv-org/epg repository. The channel data is stored in the iptv-org/database repository, and there's also an API available, documented in the iptv-org/api repository.
This repository is perfect for anyone looking for a free and easy way to access IPTV channels. Whether you're a developer looking to integrate IPTV into your app, or just a user wanting to stream your favorite shows, this repository has got you covered.
So, what are you waiting for? Dive into the world of IPTV with iptv-org/iptv - it's like having the whole world of TV at your fingertips!
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🧠 Channel: https://t.me/GithubRe
15 214
🎯 addyosmani/agent-skills landed on trending. Worth a proper look.
🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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🧠 Channel: https://t.me/GithubRe
15 214
💡 iptv-org/iptv just hit the trending charts — here's why it matters.
🔗 https://github.com/iptv-org/iptv
📝 Collection of publicly available IPTV channels from all over the world
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README not available for this repository.
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🧠 Channel: https://t.me/GithubRe
15 214
🎯 x1xhlol/system-prompts-and-models-of-ai-tools landed on trending. Worth a proper look.
🔗 https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
📝 FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
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The x1xhlol/system-prompts-and-models-of-ai-tools GitHub repository is a valuable collection of AI system prompts and models. Its main purpose is to provide developers with a comprehensive resource for AI system prompts, helping them build and secure their AI tools.
The repository offers key features such as a wide range of system prompts and models for various AI applications, as well as resources for securing AI systems. To use this repository, you can explore the different prompts and models, and even contribute to the collection by opening an issue.
From a technical standpoint, the repository highlights the importance of securing AI systems, particularly for startups. It recommends checking out
ZeroLeaks, a service designed to help identify and secure prompt injection and system prompt extraction risks.
This repository is suitable for developers and AI startups looking to build and secure their AI tools. If you find this collection useful, consider supporting the project through cryptocurrency donations, Patreon, or Ko-fi.
In short, this repository is a go-to resource for AI system prompts and models - star it and stay ahead in the AI game!
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🧠 Channel: https://t.me/GithubRe15 214
🌟 swc-project/swc caught my eye on GitHub Trending today.
🔗 https://github.com/swc-project/swc
📝 Rust-based platform for the Web
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The SWC (Speedy Web Compiler) is a super-fast TypeScript/JavaScript compiler written in Rust. It's a library for both Rust and JavaScript, enabling developers to compile their code quickly and efficiently. With SWC, you can expect fast compilation, seamless integration, and a strong focus on community involvement. To get started, you can use the
swc_ecma_parser or check out the documentation on the website.
Key Features include super-fast compilation, support for the latest JavaScript features, and a simple, easy-to-use API. For Rust users, the minimum supported Rust version is 1.73, and you can update all SWC crates using a simple script.
Technical Highlights of SWC include its ability to handle complex codebases with ease, its support for plugins and custom transforms, and its extensive documentation and community resources. Whether you're a seasoned developer or just starting out, SWC has something to offer.
The SWC community is active and supportive, with many ways to get involved, including contributing code, participating in discussions, and sponsoring the project. So why wait? Join the SWC community today and start compiling your code with speed and ease.
SWC is all about making the web development process faster - give it a try and experience the speed for yourself!
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🧠 Channel: https://t.me/GithubRe15 214
💡 bannedbook/fanqiang just hit the trending charts — here's why it matters.
🔗 https://github.com/bannedbook/fanqiang
📝 翻墙-科学上网
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The bannedbook/fanqiang GitHub repository is a comprehensive collection of tools and tutorials for circumventing internet censorship and accessing blocked websites. It provides a wide range of
software and guides for various platforms, including Windows, macOS, Android, and iOS. The repository includes one-click solutions like ChromeGo, a Chrome extension that integrates multiple anti-censorship tools, as well as tutorials on how to set up and use V2ray, Shadowsocks, and SSR. The project aims to help users in regions with strict internet censorship to access the global internet freely and securely. With its vast array of resources and documentation, the bannedbook/fanqiang repository is an invaluable resource for anyone looking to bypass internet restrictions. Break free from censorship with bannedbook/fanqiang - empowering internet freedom, one click at a time!
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🧠 Channel: https://t.me/GithubRe
15 214
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15 214
💡 NVIDIA/SkillSpector just hit the trending charts — here's why it matters.
🔗 https://github.com/NVIDIA/SkillSpector
📝 Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.
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SkillSpector is a security scanner for AI agent skills, designed to detect vulnerabilities, malicious patterns, and security risks before installing agent skills. It provides multi-format input options, including Git repos, URLs, zip files, directories, or single files, and performs two-stage analysis with fast static analysis and optional LLM semantic evaluation.
Key features include
64 vulnerability patterns across 16 categories, live vulnerability lookups with SC4 queries to OSV.dev for real-time CVE data, and multiple output formats such as terminal, JSON, Markdown, and SARIF reports. Risk scoring is also provided, with a 0-100 score and severity labels, along with clear recommendations.
To use SkillSpector, simply clone the repository, create and activate a virtual environment, and install the required dependencies. You can then scan a local skill directory, a single SKILL.md file, a Git repository, or a zip file using the skillspector scan command. For LLM analysis, configure an OpenAI-compatible LLM endpoint for semantic analysis.
SkillSpector is ideal for security teams and AI developers who want to ensure the security and integrity of their AI agent skills. With its robust feature set and easy-to-use interface, SkillSpector is an essential tool for anyone working with AI agents.
In short, SkillSpector helps you identify potential security risks in AI agent skills before they become a problem.
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🧠 Channel: https://t.me/GithubRe15 214
⚡ andrewyng/aisuite is making waves. Here's the full picture.
🔗 https://github.com/andrewyng/aisuite
📝 Simple, unified interface to multiple Generative AI providers
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Introduction to aisuite: The aisuite GitHub repository, created by andrewyng, is a lightweight Python library designed for building applications with Large Language Models (LLMs). It provides a unified interface for interacting with multiple LLM providers, including OpenAI, Anthropic, and Google, allowing developers to easily switch between them.
Key Features:
-
Chat Completions API: A unified interface for interacting with LLMs, supporting various providers and models.
- Agents API: A toolkit for building agents that can perform tasks using LLMs, with features like tool calling, max turns, and MCP tools.
- OpenCoworker: A desktop AI coworker application built using aisuite, capable of performing tasks like chat, research, and file management.
Usage:
- Install the aisuite library using pip: pip install aisuite
- Use the Chat Completions API to interact with LLMs:
import aisuite as ai
client = ai.Client()
response = client.chat.completions.create(
model="openai:gpt-4o",
messages=[{"role": "user", "content": "Hello, how are you?"}],
temperature=0.75
)
print(response.choices[0].message.content)
Agents API provides a flexible way to build agents that can perform complex tasks using LLMs.
- aisuite has a small codebase and is easy to extend, with a modular architecture that allows for easy addition of new providers and features.
Audience:
- aisuite is designed for developers who want to build applications using LLMs, but don't want to deal with the complexity of interacting with multiple providers.
- It's also suitable for researchers who want to experiment with LLMs and need a flexible and easy-to-use interface.
Takeaway: With aisuite, you can build powerful AI applications using Large Language Models, without getting bogged down in the details of provider-specific APIs – it's a game-changer for AI development!
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🧠 Channel: https://t.me/GithubRe