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5 projects tracked. Filter by category, language, and trend.

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Category:AllAI & Machine Learning36Web Frameworks20CLI & Developer Tools21Databases & Storage26DevOps & Infrastructure26Mobile Development13Data Science & Notebooks20Game Development8
Language:Python22TypeScript5Go3C++2Rust2Jupyter Notebook1C1clear ×
Sort:PopScoreTrending (7d)StarsNewestDensityLanguage
Showing 1–5 of 5
  • 1

    danny-avila/librechat

    Enhanced ChatGPT clone with multi-provider support, agents, and plugins.

    SlowingEnterprise
    Pop
    0
    TypeScript#chatgpt#ai#llm
    24.5k4.2k
    AISelf-hostable multi-provider ChatGPT-compatible UI with agents, plugins, and code execution.expand
    Self-hostable multi-provider ChatGPT-compatible UI with agents, plugins, and code execution.
  • 2

    mendableai/firecrawl

    Turn entire websites into LLM-ready markdown or structured data.

    SlowingMature
    Pop
    0
    TypeScript#scraping#llm#crawler
    18.9k1.4k
    AIWeb scraper API that turns any site into clean markdown for LLM ingestion, with JS-rendering and anti-bot handling.expand
    Web scraper API that turns any site into clean markdown for LLM ingestion, with JS-rendering and anti-bot handling.
  • 3

    anthropics/claude-code

    Anthropic's official CLI for Claude.

    SlowingEnterprise
    Pop
    0
    TypeScript#claude#agent#cli
    18.6k1.1k
  • 4

    openai/openai-node

    Official Node.js / Deno library for the OpenAI API.

    SlowingEnterprise
    Pop
    0
    TypeScript#openai#llm#sdk
    8.9k1.2k
  • 5

    e2b-dev/e2b

    Open-source secure cloud sandboxes for AI agents.

    SlowingEnterprise
    Pop
    0
    TypeScript#agents#sandbox#llm
    6.4k580
    AIEphemeral firecracker sandboxes for AI agents — safe code execution in <200ms cold start.expand
    Ephemeral firecracker sandboxes for AI agents — safe code execution in <200ms cold start.

How GitPop ranks projects

Read the full methodology
What is PopScore?
A 0–100 score combining star velocity (35%), fork engagement (20%), activity (25%), mentions (10%), and a noise filter (10%). Details →
Why not just use GitHub Trending?
Trending is dominated by awesome-* lists and tutorial repos. We weight commits and merged PRs above raw stars, and apply a noise penalty for content-only repos. Details →
How is the AI Snapshot generated?
An LLM summarizes each repo's README into strict JSON — TL;DR, 3 key features, difficulty rating. Cached and refreshed automatically. Details →