MediaPipe
- Software
- Perception
- Library
MediaPipe is an open-source framework and set of libraries for building on-device machine learning features such as vision, text, and audio tasks across mobile, web, desktop, and edge devices.
Made by Google AI Edge.
Source on GitHub: github.com/google-ai-edge/mediapipe (opens in a new tab). Facts read at commit 88ce869 (opens in a new tab).
Licenses
- Code
- Apache-2.0 (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (Apache-2.0) at commit 88ce869 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Provides MediaPipe Tasks, cross-platform APIs and libraries for deploying pre-trained ready-to-run ML solutions.
- Offers MediaPipe Model Maker for customizing solution models with your own data.
- Includes MediaPipe Studio for visualizing, evaluating, and benchmarking solutions in a browser.
- MediaPipe Framework is a low-level component for building efficient on-device ML pipelines using graphs and calculators.
- Processes input data such as images, video, and text on the device without sending it to Google servers.
- Sends performance and usage metrics about the Tasks APIs to Google, which app developers must disclose to users.
Written by Robotheca from the project's README (opens in a new tab) at commit 88ce869.
Getting started
- Difficulty
- Intermediate
- How to start
- The project's website (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 16 Oct 2026 on master
- Latest release
- MediaPipe v1.1.1 (14 Oct 2026)
Checked on GitHub on 16 Oct 2026.
Links
Robots on Robotheca that use it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.