Medical Open Network for AI

New Releases!

MONAI v0.6 and MONAI Label v0.1

The MONAI framework is the open-source foundation being created by Project MONAI. MONAI is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It provides domain-optimized foundational capabilities for developing healthcare imaging training workflows in a native PyTorch paradigm.

Project MONAI also includes MONAI Label, an intelligent open source image labeling and learning tool that helps researchers and clinicians collaborate, create annotated datasets, and build AI models in a standardized MONAI paradigm.

Open Source

MONAI is an open-source project. It is built on top of PyTorch and is released under the Apache 2.0 license.


Aiming to capture best practices of AI development for healthcare researchers, with an immediate focus on medical imaging.

User Friendly

Providing user-comprehensible error messages and easy to program API interfaces.


Provides reproducibility of research experiments for comparisons against state-of-the-art implementations.

Easy Integration

Designed to be compatible with existing efforts and ease of 3rd party integration for various components.

High Quality

Delivering high-quality software with enterprise-grade development, tutorials for getting started and robust validation & documentation.

Who uses MONAI?

Entry Level Researcher

Provides ready-to-use deep learning models, walk-through tutorials and examples to get kick-started for AI development on a common foundation.

Advanced Researcher

For advanced academic and translational researchers, MONAI provides modular domain optimized components that can be easily integrated into existing workflows and enables reproducibility of research experiments for comparison.



A PyTorch-based, open-source framework for deep learning in healthcare imaging used to create state-of-the-art, end-to-end training workflows.

To install the current release:

pip install monai

For more details, please refer to the installation guide.


An intelligent open-source medical image labeling and learning tool that enables you to create annotated datasets and build AI annotation models quickly

To install the current release:

pip install monailabel

For more details, please refer to the installation guide.

Find a full list of examples for both MONAI and MONAI Label on our Getting Started page.

Repository and Roadmap

Project MONAI

GitHub Repository
Go to repository

Tutorials GitHub Repository
Go to examples and notebooks

Contributing Guidelines
Go to guide

Licensing Guide
Go to Apache 2.0 license

Bug reports and feature requests
Go to issues

Initial Roadmap Schedule

Release Roadmap OCT 2020 DEC 2020 APR 2021 JUL 2021 SEP 2021 NOV 2021 0.3.0 0.4.0 0.5.0 0.6.0 0.7.0 0.8.0


Project MONAI is an initiative originally started by NVIDIA & King’s College London to establish an inclusive community of AI researchers for the development and exchange of best practices for AI in healthcare imaging across academia and enterprise researchers.

Join Project MONAI