google-ai-edge

    google-ai-edge/mediapipe

    Cross-platform, customizable ML solutions for live and streaming media.

    37.6K stars
    6.2K forks
    37.6K GitHub watchers
    Updated Nov 4, 2026
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    Where it stands

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

    4 releases in the last 90 days, the latest 1 day ago, with 115 contributors on GitHub.

    Use Cases & Benefits

    • Provides a cross-platform framework for building customizable machine learning pipelines for live and streaming media processing.
    • Enables efficient on-device ML inference with modular graph-based architecture supporting multiple platforms including mobile, web, and desktop.
    • Use for developing real-time computer vision applications like hand tracking and pose estimation on mobile devices.
    • Use for creating audio and video processing pipelines that integrate ML models for tasks such as speech recognition or object detection.
    • Use for prototyping and deploying ML-powered perception solutions on edge devices and IoT hardware with minimal latency.

    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

    Watch-outs

    No watch-outs from GStars' checks.

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    From the README

    Attention: We have moved to https://developers.google.com/mediapipe as the primary developer documentation site for MediaPipe as of April 3, 2023.

    Attention: MediaPipe Solutions Preview is an early release. Learn more.

    On-device machine learning for everyone

    Delight your customers with innovative machine learning features. MediaPipe contains everything that you need to customize and deploy to mobile (Android, iOS), web, desktop, edge devices, and IoT, effortlessly.

    You can get started with MediaPipe Solutions by by checking out any of the developer guides for vision, text, and audio tasks. If you need help setting up a development environment for use with MediaPipe Tasks, check out the setup guides for Android, web apps, and Python.

    Excerpt from the google-ai-edge/mediapipe 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

    Forks

    6.2K+113

    Open issues

    275-275

    Compared with peers in Android

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

    google-ai-edge/mediapipe compared with Android repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    rustdesk/rustdesk128.9K+859751 day ago
    google-ai-edge/mediapipe37.6K—601 day ago
    google/comprehensive-rust33.5K—45—
    appium/appium22.2K—601 day ago
    bia-pain-bache/BPB-Worker-Panel13.9K—22109 days ago
    JetBrains/koog4.7K—5845 days ago
    Category median22.2K—58—

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