CVHub520

    CVHub520/X-AnyLabeling

    X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

    10.9K stars
    1.2K forks
    10.9K GitHub watchers
    Updated Nov 5, 2026
    View on GitHub

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    Where it stands

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

    5 releases in the last 90 days, the latest 3 days ago, with 50 contributors on GitHub.

    Use Cases & Benefits

    • Provides a lightweight, cross-platform desktop app for annotating text, image, video, and multimodal data with integrated AI models.
    • Combines versatile built-in annotation tools with state-of-the-art AI models and supports flexible multi-format export for diverse workflows.
    • Use for creating detailed annotations on images and videos for computer vision model training and evaluation.
    • Use for automating labeling tasks in multimodal datasets using integrated AI engines to accelerate data preparation.
    • Use for developing and testing custom AI models with support for remote inference and GPU acceleration in annotation workflows.

    Should you depend on it?

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

    License

    GPL 3.0

    Copyleft: distributing software that includes it generally requires releasing your source under the same license.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • GPL-style copyleft: including it in distributed software generally requires releasing your source under the same license.

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

    From the README

    X-AnyLabeling is a powerful annotation tool that integrates an AI engine for fast and automatic labeling. It's designed for multi-modal data engineers, offering industrial-grade solutions for complex tasks.

    Also, we highly recommend trying out X-AnyLabeling-Server, a simple, lightweight, and extensible framework that enables remote inference capabilities for X-AnyLabeling.

    Excerpt from the CVHub520/X-AnyLabeling README on GitHub (GPL-3.0 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

    Forks

    1.2K+113

    Open issues

    12+7

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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