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不要被骗子欺骗!Telemetrio 会找到并标记这些频道 👉 如果想查看标记,请订阅

Github Top Repositories

Github Top Repositories

前往频道在 Telegram

Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.

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📈 Telegram 频道 Github Top Repositories 的分析概览

频道 Github Top Repositories (@githubre) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 15 170 名订阅者,在 教育 类别中位列第 13 479,并在 印度 地区排名第 26 167 位。

📊 受众指标与增长动态

自 невідомо 创建以来,项目保持高速增长,吸引了 15 170 名订阅者。

根据 02 十一月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 447,过去 24 小时变化为 3,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 0.96%。内容发布后 24 小时内通常能获得 0.64% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 146 次浏览,首日通常累积 97 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 1。
  • 主题关注点: 内容集中在 repository, fork, programming, statistic, description 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
“Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.”

凭借高频更新(最新数据采集于 03 十一月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

15 170
订阅者
+324 小时
+367 天
+44730 天
帖子存档
⚡ 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. ────────────────────────────── Could not generate summary at this time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🎯 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 ────────────────────────────── Could not generate summary at this time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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+9

🔍 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…) ────────────────────────────── Could not generate summary at this time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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+1

⚡ 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. ────────────────────────────── Could not generate summary at this time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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Holy fucccccccck 🙀🤯😱🥱 Boom 💥 💥 💥 💥 $MEXICANUNC just printed me with massive profit My early entry on $MEXICANUNC turn
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

🔍 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 ────────────────────────────── README not available for this repository. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🌟 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 ────────────────────────────── README not available for this repository. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 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. ────────────────────────────── Could not generate summary at this time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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+1

🔥 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. ────────────────────────────── Could not generate summary at this time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 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. ────────────────────────────── 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. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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+2

💡 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 🚀 ────────────────────────────── 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
ToolJet is ideal for developers, businesses, and organizations looking to streamline their workflows and build custom tools. With its extensive documentation and community support, it's easy to get started and find help when needed. One-liner takeaway: ToolJet empowers you to build and deploy custom tools and workflows with ease, making it a game-changer for businesses and developers alike. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 public-apis/public-apis is trending — and it deserves your attention. 🔗 https://github.com/public-apis/public-apis 📝 A collective list of free APIs ────────────────────────────── 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! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 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 ────────────────────────────── 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! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe