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Every tracked project

39 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:TypeScript44Python43Go33Rust20C++11C7JavaScript6Jupyter Notebook2Java2Zig1clear ×
Sort:PopScoreTrending (7d)StarsNewestDensityLanguage
Showing 31–39 of 39
  • 31

    EFForg/rayhunter

    Rust tool to detect cell site simulators on an orbic mobile hotspot

    HealthyMature
    Pop
    0
    Rust
    5.6k467
  • 33

    ggez/ggez

    Lightweight game framework for making 2D games with minimum friction.

    SlowingMature
    Pop
    0
    Rust#engine#rust#2d
    4.4k380
  • 34

    akitaonrails/ai-memory

    Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors

    HealthyEarly
    Pop
    0
    Rust
    2.1k194
  • 35

    SlimeBoyOwO/LingChat

    Immersive AI-driven Galgame chat with emotional expressions, desktop pet, scheduling, and interactive story modules. / 一款沉浸式 AI-Galgame 聊天软件，附带桌宠，日程，剧情功能

    HealthyMature
    Pop
    0
    Rust
    1.4k97
  • 36

    tobi/walgit

    —

    HealthyExperimental
    Pop
    0
    Rust
    1.0k56
  • 37

    hairyf/deepseek-harness-desktop

    DeepSeek Harness Tauri 桌面版 | Only 5mb installer, zero environment setup, preset plugins, Windows / macOS / Linux.

    HealthyExperimental
    Pop
    0
    Rust#deepseek#deepseek-harness#desktop
    53032
  • 38

    iAmCorey/Wake

    Every coding-agent session on your Mac in one place — browse, search, resume. Rust + GPUI.

    HealthyExperimental
    Pop
    0
    Rust
    32217

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 →