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 15 212 obunachidan iborat bo'lib, Taʼlim toifasida 13 433-o'rinni va Hindiston mintaqasida 26 115-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 15 212 obunachiga ega bo‘ldi.
04 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 407 ga, so‘nggi 24 soatda esa 27 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 0.93% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.62% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 142 marta ko‘riladi; birinchi sutkada odatda 95 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 05 Noyabr, 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.
15 212
Obunachilar
+2724 soatlar
+807 kun
+40730 kun
Postlar arxiv
15 215
🌟 oblien/openship caught my eye on GitHub Trending today.
🔗 https://github.com/oblien/openship
📝 Self-hosted deployment platform
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Openship is an open-source, self-hostable deployment platform with built-in CI/CD. It allows you to push code, ship containers, and manage infrastructure from a desktop app, web dashboard, or CLI.
The platform is designed for both solo developers and teams, providing features like built-in CI/CD, any stack support, full backend management, domains and SSL management, CDN, mail server, backups, and real-time monitoring.
To get started, you can choose from three interfaces: a desktop app for a full GUI experience, a web dashboard for team collaboration, or a CLI for scripting and automation.
Here's a
quick start example using the CLI:
curl -fsSL https://get.openship.io | sh
openship
15 215
🎯 ComposioHQ/awesome-claude-skills landed on trending. Worth a proper look.
🔗 https://github.com/ComposioHQ/awesome-claude-skills
📝 A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
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The Claude Skills repository is a treasure trove of production-ready skills and plugins designed to enhance productivity across various use cases on Claude.ai, Claude Code, and other coding agents. With
1000+ skills available, developers can tap into a wide range of functionalities, from document processing and development tools to data analysis and business solutions.
To get started, users can install the connect-apps plugin and run the setup to connect Claude to 500+ apps. The repository also provides a quickstart guide and a comprehensive list of skills, including document processing, development and code tools, data and analysis, and more.
The skills are designed to be progressively loaded, allowing agents to host hundreds of skills without bloating their context window. The repository is open-source and Apache-2.0 licensed, making it easy for developers to contribute and build upon the existing skills.
Whether you're a developer looking to automate tasks, a business user seeking to streamline workflows, or a researcher aiming to analyze data, the Claude Skills repository has something for everyone.
One-liner takeaway: Unlock the full potential of Claude with 1000+ production-ready skills and take your productivity to the next level!
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🧠 Channel: https://t.me/GithubRe
15 215
🔍 Deep-diving into shiyu-coder/Kronos — fresh off the trending list.
🔗 https://github.com/shiyu-coder/Kronos
📝 Kronos: A Foundation Model for the Language of Financial Markets
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Kronos is the first open-source foundation model specifically designed for the "language" of financial markets, trained on data from over 45 global exchanges. It's a decoder-only model that leverages a novel two-stage framework: a specialized tokenizer quantizes continuous, multi-dimensional K-line data into hierarchical discrete tokens, and a large, autoregressive Transformer is then pre-trained on these tokens.
The model is unique in its ability to handle the high-noise characteristics of financial data, making it a unified model for diverse quantitative tasks. You can access a
live demo to visualize Kronos's forecasting results for the BTC/USDT trading pair.
To get started, you can install the dependencies with pip install -r requirements.txt and load a pre-trained Kronos model and its corresponding tokenizer from the Hugging Face Hub. The model is suitable for quantitative analysts, data scientists, and developers interested in financial forecasting.
Here's a simple example of how to use the `KronosPredictor` class:
from model import Kronos, KronosTokenizer, KronosPredictor
tokenizer = KronosTokenizer.from_pretrained("NeoQuasar/Kronos-Tokenizer-base")
model = Kronos.from_pretrained("NeoQuasar/Kronos-small")
predictor = KronosPredictor(model, tokenizer, max_context=512)
15 215
💡 diegosouzapw/OmniRoute just hit the trending charts — here's why it matters.
🔗 https://github.com/diegosouzapw/OmniRoute
📝 Never stop coding. Free MIT AI gateway: one endpoint, 268+ providers (50+ free), 500+ models — Kimi, Claude, GPT, OpenAI, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 500+ contributors
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OmniRoute is a game-changing tool that simplifies the process of working with multiple AI providers. Its main purpose is to provide a unified endpoint for accessing over
250 AI providers, including 90+ free tiers. This means you can use various AI tools like Claude Code, Codex, and Cursor through a single configuration.
With OmniRoute, you can save up to 95% of tokens thanks to its RTK and Caveman compression features. It also offers auto-fallback across providers, ensuring that you never hit rate limits and can keep working without interruptions. The tool is production-grade, with features like circuit breakers, TLS stealth, and memory guardrails.
OmniRoute is designed for developers and teams who want to streamline their AI workflow and reduce costs. Its technical highlights include support for 18 routing strategies, a simple and intuitive dashboard, and a large community of users and contributors.
In short, OmniRoute is a powerful tool that helps you maximize your AI potential while minimizing costs and complexities - never stop coding with OmniRoute!
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🧠 Channel: https://t.me/GithubRe
15 215
🌟 jamiepine/voicebox caught my eye on GitHub Trending today.
🔗 https://github.com/jamiepine/voicebox
📝 The open-source AI voice studio. Clone, dictate, create.
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Voicebox is an open-source AI voice studio that lets you clone voices, generate speech, and dictate into any app. It's a local-first alternative to cloud-based services, offering complete privacy as all models and data stay on your machine.
Key features include
7 TTS engines, 23 languages, voice cloning, and post-processing effects like pitch shift and reverb. You can also use paralinguistic tags for expressive speech and create custom voice personalities with a bundled local LLM.
Voicebox is API-first, with a REST API and MCP server for integrating voice I/O into your apps. It's built with Tauri (Rust) for native performance and runs on macOS, Windows, Linux, and Docker.
The target audience is anyone looking for a free, open-source voice studio with advanced features and complete control over their data.
In short, Voicebox is your one-stop-shop for all voice-related needs - it's like having a personal voice assistant at your fingertips!
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🧠 Channel: https://t.me/GithubRe15 215
💡 chrislgarry/Apollo-11 just hit the trending charts — here's why it matters.
🔗 https://github.com/chrislgarry/Apollo-11
📝 Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
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The Apollo-11 GitHub repository is a treasure trove for space enthusiasts and historians, containing the original source code for the Apollo 11 guidance computer (AGC) used in the
Command Module (Comanche055) and Lunar Module (Luminary099). This project aims to provide a single repository for the original Apollo 11 source code, allowing users to explore and learn from the code that made the historic moon landing possible.
The repository includes translations in multiple languages, making it accessible to a broader audience. To compile the original source code, users can refer to the Virtual AGC project. The repository also provides information on contributing, attribution, and contract and approvals, offering a comprehensive understanding of the project's context and significance.
The target audience for this repository includes space enthusiasts, historians, and developers interested in exploring the Apollo 11 source code. The project's technical highlights include the use of the yaYUL assembler and the Colossus 2A program.
Apollo-11 is a unique opportunity to delve into the history of space exploration and understand the technology that made it possible. One fascinating aspect of this project is the level of detail and accuracy that has been maintained, with contributors working to ensure that the code is as faithful to the original as possible.
In summary, the Apollo-11 repository is a valuable resource for anyone interested in space history, and its code is a testament to human ingenuity - the code that took humans to the moon is now available for anyone to explore.
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🧠 Channel: https://t.me/GithubRe15 215
🔍 Deep-diving into likec4/likec4 — fresh off the trending list.
🔗 https://github.com/likec4/likec4
📝 Visualize, collaborate, and evolve the software architecture with always actual and live diagrams from your code
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LikeC4 is a modeling language that lets you describe your software architecture and generate diagrams from it. Key features include flexibility in customizing notation, element types, and nested levels in the architecture model. You can use it to visualize, collaborate on, and evolve your software architecture with always up-to-date, live diagrams. To
get started, run npx likec4 start to preview your architecture.
The project has a strong community and is open to contributors. For help, you can join the Discord community or use GitHub Discussions.
LikeC4 is perfect for developers and architects who want to streamline their workflow and improve collaboration. The project is MIT-licensed and open-source, with ongoing development made possible by community support.
One-liner takeaway: LikeC4 revolutionizes software architecture design by making it visual, collaborative, and always up-to-date.
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🧠 Channel: https://t.me/GithubRe
15 215
⚡ schollz/croc is making waves. Here's the full picture.
🔗 https://github.com/schollz/croc
📝 Easily and securely send things from one computer to another 🐊 📦
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croc is a secure, easy-to-use file transfer tool that works between any two computers. Its key features include end-to-end encryption, cross-platform compatibility, resumable transfers, and no need for a local server or port-forwarding.
To use
croc, simply download and install it, then send files with croc send [file(s)-or-folder] and receive them with croc [code-phrase].
It's written in Go and has been designed with security in mind, using password-authenticated key agreement (PAKE) for secure key exchange.
The croc community is active, and the tool has been widely adopted.
Overall, croc is a reliable and user-friendly solution for secure file transfers - give it a try and see how easy file sharing can be!
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🧠 Channel: https://t.me/GithubRe
15 215
🎯 ayghri/i-have-adhd landed on trending. Worth a proper look.
🔗 https://github.com/ayghri/i-have-adhd
📝 A skill for your coding agent to stop it from burying the answer. ADHD-friendly output.
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The ayghri/i-have-adhd GitHub repository is designed to provide ADHD-friendly outputs for coding assistants, making it easier for users to focus on the task at hand. The key feature of this repository is its ability to
stop burying the answer and instead provide action-first, step-by-step instructions.
To use this repository, you can install it as a plugin in your preferred coding assistant, such as Claude Code or Codex, using the provided claude plugin installcodex plugin add15 215
🚀 Meet ruvnet/RuView: a gem from today's GitHub trending list.
🔗 https://github.com/ruvnet/RuView
📝 π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
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RuView is a WiFi sensing platform that transforms radio signals into spatial intelligence. It detects people, tracks movement, and monitors rooms through walls, in the dark, with no cameras or wearables. Key features include presence and occupancy detection, vital sign measurement, activity recognition, environment mapping, and sleep quality monitoring.
Technical highlights include the use of Channel State Information (CSI) from low-cost ESP32 sensors, spiking neural networks for local learning, and cryptographic attestation via an Ed25519 witness chain. The system integrates with major smart-home ecosystems like Home Assistant, Apple Home, Google Home, and Alexa.
Usage options range from a simple
docker pull and docker run for simulated data to live sensing with ESP32-S3 hardware or a full system with Cognitum Seed. The platform is designed for low-power edge applications and provides a range of edge modules for various use cases.
The target audience includes developers, researchers, and users interested in spatial intelligence, WiFi sensing, and smart home automation. With RuView, you can turn ordinary WiFi into a contactless sensor and unlock new possibilities for spatial awareness and automation.
One line takeaway: RuView revolutionizes spatial intelligence by transforming WiFi signals into actionable data, enabling a wide range of applications, from smart homes to healthcare, without the need for cameras or wearables.
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🧠 Channel: https://t.me/GithubRe
15 215
🔥 koala73/worldmonitor is trending — and it deserves your attention.
🔗 https://github.com/koala73/worldmonitor
📝 Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
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The World Monitor is a real-time global intelligence dashboard that provides AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking. Its key features include
500+ curated news feeds, a dual map engine, and cross-stream correlation for convergence of military, economic, disaster, and escalation signals.
To use World Monitor, you can git clone the repository, npm install, and npm run dev to start the app. The project has a tech stack that includes Vanilla TypeScript, Vite, globe.gl, and deck.gl for the frontend, and Tauri 2 with Node.js sidecar for the desktop app.
World Monitor is designed for programmatic access, with a MCP server, REST API, and CLI tools. It also has SDKs for Python, Ruby, and Go. The project aggregates data from 65+ external providers and APIs, and its data sources catalog is available for reference.
The World Monitor community welcomes contributions, and the project is licensed under AGPL-3.0-only. Overall, World Monitor is a powerful tool for geopolitical monitoring and analysis, and its open-source nature makes it a great resource for researchers, analysts, and developers.
The World Monitor is a game-changer for anyone looking to stay on top of global events - track the world, in real-time.
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🧠 Channel: https://t.me/GithubRe
15 215
💡 KnockOutEZ/wigolo just hit the trending charts — here's why it matters.
🔗 https://github.com/KnockOutEZ/wigolo
📝 The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.
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wigolo is a local-first web intelligence platform designed for AI agents, providing a single surface for web-related tasks like search, fetch, crawl, extract, cache, and research. It runs on the user's machine, eliminating the need for API keys, cloud services, and metered bills. Key features include multi-engine web search, fetch and structured extraction, whole-site crawl and mapping, and verbatim excerpts with byte-pinned source spans.
Usage is straightforward: initialize the platform with
npx wigolo init, and then use various tools like wigolo search, wigolo fetch, and wigolo extract to perform tasks. The platform also supports interactive setup with --interactive or --wizard flags.
Technical highlights include a tiered router for fetching pages, a headless browser engine for handling anti-bot challenges, and a caching mechanism for storing query results. The platform also supports various LLM providers like Gemini, Anthropic, and OpenAI, allowing users to choose their preferred language model.
The target audience for wigolo includes developers, researchers, and users of AI agents, such as Claude Code, Cursor, and Codex. The platform is designed to be private by default, with all data stored locally under ~/.wigolo/.
In summary, wigolo is a powerful, local-first web intelligence platform that provides a single surface for AI agents to perform various web-related tasks, all while maintaining user privacy and eliminating the need for API keys and cloud services. Take control of your AI agent's web interactions with wigolo!
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🧠 Channel: https://t.me/GithubRe