ladaapp

    ladaapp/lada

    Restore videos with pixelated/mosaic regions

    backend
    depixelization
    jav-restoration
    mosaic-removal
    Python
    AGPL-3.0
    6.3K stars
    656 forks
    6.3K GitHub watchers
    Updated Oct 31, 2026
    View on GitHub

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    Where it stands

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

    No releases in the last 90 days; the most recent was 264 days ago, with 8 contributors on GitHub.

    Gained 27% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Restores pixelated or mosaic regions in adult videos to improve visual clarity using specialized detection and restoration models.
    • Offers configurable model options and both GUI and CLI interfaces for flexible, user-friendly video depixelization workflows.
    • Use for recovering censored or pixelated adult video content to enhance viewing experience on personal devices.
    • Use for batch processing videos via CLI or Docker in GPU-accelerated environments to restore mosaics efficiently.
    • Use for developers training custom mosaic detection and restoration models leveraging provided dataset creation and training guides.

    Should you depend on it?

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

    License

    AGPL 3.0

    Network copyleft: like the GPL, and also triggered by offering the software over a network.

    Community files

    • README: present

    Watch-outs

    • AGPL-style copyleft also applies when the software is offered over a network.
    • No commits in the last six months (last push Feb 2026).

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

    From the README

    Lada is a tool designed to recover pixelated adult videos (JAV). It helps restore the visual quality of such content, making it more enjoyable to watch.

    Excerpt from the ladaapp/lada README on GitHub (AGPL-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

    656+57

    Open issues

    50+0

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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    Category median56.0K+2.3K29—

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