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 15 182 obunachidan iborat bo'lib, Taʼlim toifasida 13 479-o'rinni va Hindiston mintaqasida 26 167-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 15 182 obunachiga ega bo‘ldi.
02 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 447 ga, so‘nggi 24 soatda esa 3 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 0.96% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.64% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 146 marta ko‘riladi; birinchi sutkada odatda 97 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 04 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.
15 182
Obunachilar
+324 soatlar
+367 kun
+44730 kun
Postlar arxiv
15 180
⚡ immich-app/immich is making waves. Here's the full picture.
🔗 https://github.com/immich-app/immich
📝 High performance self-hosted photo and video management solution.
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🧠 Channel: https://t.me/GithubRe
15 180
🎯 jundot/omlx landed on trending. Worth a proper look.
🔗 https://github.com/jundot/omlx
📝 LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
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🧠 Channel: https://t.me/GithubRe
15 180
🔍 Deep-diving into santifer/career-ops — fresh off the trending list.
🔗 https://github.com/santifer/career-ops
📝 Open-source AI job search: scan job portals, evaluate listings with a structured A-F rubric into a 1.0-5.0 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…)
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🧠 Channel: https://t.me/GithubRe
15 180
⚡ AlexsJones/llmfit is making waves. Here's the full picture.
🔗 https://github.com/AlexsJones/llmfit
📝 Hundreds of models & providers. One command to find what runs on your hardware.
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🧠 Channel: https://t.me/GithubRe
15 180
Holy fucccccccck 🙀🤯😱🥱
Boom 💥 💥 💥 💥
$MEXICANUNC just printed me with massive profit
My early entry on $MEXICANUNC turn my $600 to $323k in less 48 hours
Not luck — timing, discipline, and the right network.
Want early setups before they move?
👇 JOIN MY CHANNEL 👇
https://t.me/+40JBSSZtksdhNWM0
#ad 📢 InsideAd
15 180
🔍 Deep-diving into mukul975/Anthropic-Cybersecurity-Skills — fresh off the trending list.
🔗 https://github.com/mukul975/Anthropic-Cybersecurity-Skills
📝 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
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🧠 Channel: https://t.me/GithubRe
15 180
🌟 nautechsystems/nautilus_trader caught my eye on GitHub Trending today.
🔗 https://github.com/nautechsystems/nautilus_trader
📝 Production-grade Rust-native trading engine with deterministic event-driven architecture
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🧠 Channel: https://t.me/GithubRe
15 180
🌟 usestrix/strix caught my eye on GitHub Trending today.
🔗 https://github.com/usestrix/strix
📝 Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
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🧠 Channel: https://t.me/GithubRe
15 180
🔥 harry0703/MoneyPrinterTurbo is trending — and it deserves your attention.
🔗 https://github.com/harry0703/MoneyPrinterTurbo
📝 利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
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🧠 Channel: https://t.me/GithubRe
15 180
🎯 cactus-compute/needle landed on trending. Worth a proper look.
🔗 https://github.com/cactus-compute/needle
📝 14MB foundation model for tiny devices; phones, wearables, smart home, and robots.
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Needle 2 is an open-source, 45M-parameter model designed for tool calling, device use, and structured extraction. It's a compact, self-contained model that runs on a single 14MB binary, using approximately 28MB of RAM. Key features include a simple contract for tool calls, confidence-gated responses, and tool retrieval capabilities.
To
get started, you can install the cactus-needle package using pip install cactus-needle, then describe your tools and call them from Python. The model supports fine-tuning with LoRA, allowing you to adapt it to your specific use case.
The model is suitable for developers and researchers looking to integrate a compact, versatile AI model into their applications.
One-liner takeaway: Needle 2 packs a punch as a tiny, 14MB model that delivers big on tool calling and structured extraction capabilities.
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🧠 Channel: https://t.me/GithubRe
15 180
💡 ToolJet/ToolJet just hit the trending charts — here's why it matters.
🔗 https://github.com/ToolJet/ToolJet
📝 ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀
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ToolJet is an open-source platform for building and deploying internal tools, workflows, and AI agents. It offers a visual builder with a drag-and-drop UI, integrations with databases, APIs, SaaS apps, and object storage. Key features include a built-in no-code database, multi-page apps and multiplayer editing, and 80+ data sources.
To get started, you can create a
ToolJet Cloud account or self-host using Docker with the following command:
docker run \
--name tooljet \
--restart unless-stopped \
-p 80:80 \
--platform linux/amd64 \
-v tooljet_data:/var/lib/postgresql/13/main \
tooljet/try:ee-lts-latest
15 180
🔥 public-apis/public-apis is trending — and it deserves your attention.
🔗 https://github.com/public-apis/public-apis
📝 A collective list of free APIs
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The public-apis/public-apis GitHub repository is a treasure trove of public APIs from various domains, manually curated by the community. It provides an extensive list of APIs that can be used for personal projects. The repository is divided into categories such as animals, anime, anti-malware, and more. Each API has its own description, authentication requirements, and HTTPS and CORS support. The repository also includes a
contributing guide and a list of issues and pull requests. To get started, simply browse the list of APIs, find one that suits your needs, and start using it. With the public-apis/public-apis repository, you can unlock a world of possibilities and take your projects to the next level: start building today and never stop innovating!
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🧠 Channel: https://t.me/GithubRe15 180
📌 Spotted on GitHub Trending: akitaonrails/ai-memory — let's break it down.
🔗 https://github.com/akitaonrails/ai-memory
📝 Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors
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ai-memory is a tool that gives long-term memory to AI coding agents, allowing them to pick up where they left off, even if they're switched out for a different agent. It does this by creating a shared, persistent wiki compiled from sanitized lifecycle observations.
Key features include zero-friction lifecycle capture, opt-in managed workstreams, per-repository capture exclusions, and optional per-operator memory slots.
ai-memory supports a wide range of agents, including Claude Code, Codex, Command Code, and more.
To use ai-memory, simply run it in the same directory as your agent, and it will take care of the rest.
From a technical standpoint, ai-memory uses a git repo to store its wiki, making it easy to grep and backup.
This tool is ideal for developers who use multiple AI coding agents and want to streamline their workflow.
In short, ai-memory is a game-changer for AI coding agents - it's like having a personal assistant that remembers where you left off, so you can pick up right where you started!
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🧠 Channel: https://t.me/GithubRe