GStars
    koharu-rs

    koharu-rs/koharu

    #120 this week

    ML-powered manga translator, written in Rust.

    computer-vision
    deep-learning
    graphics
    gpu
    gui
    japanese
    manga
    rust
    Rust
    Apache-2.0
    6.4K stars
    464 forks
    6.4K GitHub watchers
    Updated Oct 21, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #120 of 2,531 repositories GStars tracks this week (top 5%).

    5 releases in the last 90 days, the latest 30 days ago, with 52 contributors on GitHub.

    Peaked at #18 in the weekly ranking the week of Apr 12, its best in the past year.

    Use Cases & Benefits

    • Provides an AI-powered manga translation tool combining object detection, OCR, inpainting, and LLMs for seamless local translation.
    • Ensures data privacy by running all machine learning models locally without sending user data to external servers.
    • Use for automating manga translation workflows with GPU acceleration on NVIDIA and Apple Silicon devices.
    • Use for integrating manga translation capabilities into AI agents via the built-in MCP server and headless mode.
    • Use for developers seeking a Rust-based, high-performance manga translation solution with customizable ML model support.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    ML-powered manga translator, written in Rust.

    Koharu introduces a new workflow for manga translation, utilizing the power of ML to automate the process. It combines the capabilities of object detection, OCR, inpainting, and LLMs to create a seamless translation experience.

    Under the hood, Koharu uses candle for high-performance inference, and uses Tauri for the GUI. All components are written in Rust, ensuring safety and speed.

    Excerpt from the koharu-rs/koharu README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 15: +88Aug 16: +30Aug 17: +30Aug 18: +16Aug 19: +3Aug 20: +14Sep 2: +8Sep 3: +14Sep 4: +8Sep 5: +11Sep 6: +8Sep 7: +9Sep 8: +9Sep 9: +3Sep 10: +8Sep 11: +5Sep 12: +10Sep 13: +6Oct 14: +80Oct 15: +164Oct 16: +43Oct 17: +35

    +1,502 stars over 88 days across 30 snapshot days; best day +164 on Oct 15.

    Forks

    464+155

    Open issues

    145-3

    Compared with peers in Computer Vision

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth

    View category →
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