google-ai-edge/mediapipe

Health v2 · maintenance only

Adoption not part of the score

36731 stars · 6134 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MediaPipe is Google's cross-platform framework for deploying on-device machine learning solutions for live and streaming media. It provides pre-trained models, cross-platform task APIs, and a graph-based pipeline framework for vision, text, and audio perception across mobile, web, desktop, and edge devices.

Use cases

• detect faces and hand landmarks in a live camera feed
• run on-device image classification on Android and iOS
• add gesture recognition to a mobile app
• classify audio in real time on device
• build a streaming media ML pipeline in C++
• customize a pretrained model with my own data
• run object detection in a web app

When to choose

• you need ready-to-run, cross-platform on-device ML for vision, text, or audio
• you want pre-trained models plus tooling to customize them
• you need low-latency inference on mobile, web, or edge hardware

When to avoid

• you need server-side or cloud-scale training infrastructure
• you require custom model architectures outside the provided solutions
• you need a lightweight single-purpose library rather than a full framework

Facets

framework · maturity stable

machine-learning computer-vision image-processing video-processing audio-processing llm-inference machine-learning computer-vision mobile-development cross-platform artificial-intelligence python cpp cross-platform embedded on-device-ml pipeline-framework pretrained-models edge-ai streaming-media google android ios web

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google-ai-edge/mediapipe")