// devtools · google-ai-edge/mediapipe

mediapipe

mediapipe es un proyecto de herramientas de desarrollo de código abierto de google-ai-edge (google-ai-edge/mediapipe en GitHub). Tiene 37.191 estrellas en GitHub y 6.183 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 8 de octubre de 2026.

Google's cross-platform framework for on-device ML perception: vision, text and audio pipelines

★ 37,2k estrellas⑂ 6,2k bifurcacionesApache-2.0actualizado oct 2026
▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto

Datos del proyecto

Estrellas en GitHub
37.191
Bifurcaciones
6.183
Licencia
Apache-2.0
Última actualización en GitHub
8 de octubre de 2026
Tipo de ficha
Guía de instalación completa
Sitio oficial
Official site
// cómo funciona

Cómo funciona

  1. Clarify your goal

    Decide what you want to achieve with mediapipe and check the README on GitHub for requirements before installing.

  2. Get the code

    Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).

  3. Install and configure

    Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.

  4. Run your first task

    Work through the README's quickstart example end to end, then adapt it to your own project or data.

// características

Por qué gusta tanto

MediaPipe Tasks

Ready-to-use solutions for vision, text and audio tasks such as object detection, image classification, text classification and audio classification.

Graph-based pipelines

Processing is built from reusable graph nodes called calculators, so complex perception pipelines stay modular and efficient.

Cross-platform

One framework spans Android, iOS, web, desktop and Raspberry Pi-class devices.

On-device inference

Models run locally on the device, keeping latency low and media private — no server round-trip.

Legacy solutions included

The repo also carries the legacy MediaPipe solutions (hands, face mesh, pose and more) alongside the newer Tasks APIs.

Google-maintained

Developed by Google with extensive guides, publications and videos linked from the repository.

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// ejecútalo

Ejecútalo tú mismo

  1. Clone the repository

    Get the MediaPipe framework source.

    git clone https://github.com/google-ai-edge/mediapipe.git
    cd mediapipe
  2. Install the Python package

    For Python development, install MediaPipe from PyPI as covered in the official setup guides.

    pip install mediapipe
  3. Run a first task

    Follow the developer guide for your task (vision, text or audio) and platform to run a ready-made model.

    # see the task guides at https://ai.google.dev/edge/mediapipe for the exact example code
// casos de uso

Qué puedes crear

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// preguntas frecuentes

Preguntas frecuentes

Who maintains mediapipe?

mediapipe is maintained by the google-ai-edge organization/account on GitHub, together with open-source contributors, in the public repository google-ai-edge/mediapipe.

Is mediapipe free to use?

Yes — the code is open source under the Apache-2.0 license. You can use, modify and redistribute it under that license's terms.

Does mediapipe need a paid API key?

No API key or paid service is needed — MediaPipe and its downloadable task models run locally on your device or machine.

How does mediapipe compare to cloud vision APIs?

Cloud APIs are easier to start with but charge per call and need connectivity; MediaPipe runs on-device for free with low latency, at the cost of integrating the framework yourself.

How do I get started with mediapipe?

Clone the repository from GitHub, follow the install commands in the Run section (taken from the project's README), and complete the documented quickstart example before adapting it to your own use case.

// sigue explorando

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// alternativas

Alternativas en Herramientas de desarrollo

Los demás proyectos de Herramientas de desarrollo con más estrellas del catálogo de LibreAI: la lista realista de alternativas si mediapipe no es lo que buscas.

// más en devtools

Más en Herramientas de desarrollo

Proyectos de Herramientas de desarrollo cercanos en el catálogo, los más próximos en estrellas a mediapipe: sigue explorando a ambos lados.

Consigue mediapipe

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.