monai

AI Toolkit for Healthcare Imaging

https://github.com/project-monai/monai

Keywords

deep-learning healthcare-imaging medical-image-computing medical-image-processing monai python3 pytorch

Keywords from Contributors

medical-imaging 3d-slicer-extension active-learning qt transformer mlops agents jax cryptocurrency neuroimaging

Last synced: 4 months ago · JSON representation ·

Repository

AI Toolkit for Healthcare Imaging

Basic Info

Host: GitHub
Owner: Project-MONAI
License: apache-2.0
Language: Python
Default Branch: dev
Homepage: https://monai.io/
Size: 68 MB

Statistics

Stars: 6,775
Watchers: 96
Forks: 1,246
Open Issues: 457
Releases: 21

Topics

deep-learning healthcare-imaging medical-image-computing medical-image-processing monai python3 pytorch

Created about 6 years ago · Last pushed 4 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation Codeowners

README.md

Medical Open Network for AI

Supported Python versions

MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of the PyTorch Ecosystem. Its ambitions are as follows:

Developing a community of academic, industrial and clinical researchers collaborating on a common foundation;
Creating state-of-the-art, end-to-end training workflows for healthcare imaging;
Providing researchers with the optimized and standardized way to create and evaluate deep learning models.

Features

Please see the technical highlights and What's New of the milestone releases.

flexible pre-processing for multi-dimensional medical imaging data;
compositional & portable APIs for ease of integration in existing workflows;
domain-specific implementations for networks, losses, evaluation metrics and more;
customizable design for varying user expertise;
multi-GPU multi-node data parallelism support.

Requirements

MONAI works with the currently supported versions of Python, and depends directly on NumPy and PyTorch with many optional dependencies.

Major releases of MONAI will have dependency versions stated for them. The current state of the dev branch in this repository is the unreleased development version of MONAI which typically will support current versions of dependencies and include updates and bug fixes to do so.
PyTorch support covers the current version plus three previous minor versions. If compatibility issues with a PyTorch version and other dependencies arise, support for a version may be delayed until a major release.
Our support policy for other dependencies adheres for the most part to SPEC0, where dependency versions are supported where possible for up to two years. Discovered vulnerabilities or defects may require certain versions to be explicitly not supported.
See the requirements*.txt files for dependency version information.

Installation

To install the current release, you can simply run:

bash pip install monai

Please refer to the installation guide for other installation options.

Getting Started

MedNIST demo and MONAI for PyTorch Users are available on Colab.

Examples and notebook tutorials are located at Project-MONAI/tutorials.

Technical documentation is available at docs.monai.io.

Citation

If you have used MONAI in your research, please cite us! The citation can be exported from: https://arxiv.org/abs/2211.02701.

Model Zoo

The MONAI Model Zoo is a place for researchers and data scientists to share the latest and great models from the community. Utilizing the MONAI Bundle format makes it easy to get started building workflows with MONAI.

Contributing

For guidance on making a contribution to MONAI, see the contributing guidelines.

Community

Join the conversation on Twitter/X @ProjectMONAI, LinkedIn, or join our Slack channel.

Ask and answer questions over on MONAI's GitHub Discussions tab.

Links

Website: https://monai.io/
API documentation (milestone): https://docs.monai.io/
API documentation (latest dev): https://docs.monai.io/en/latest/
Code: https://github.com/Project-MONAI/MONAI
Project tracker: https://github.com/Project-MONAI/MONAI/projects
Issue tracker: https://github.com/Project-MONAI/MONAI/issues
Wiki: https://github.com/Project-MONAI/MONAI/wiki
Test status: https://github.com/Project-MONAI/MONAI/actions
PyPI package: https://pypi.org/project/monai/
conda-forge: https://anaconda.org/conda-forge/monai
Weekly previews: https://pypi.org/project/monai-weekly/
Docker Hub: https://hub.docker.com/r/projectmonai/monai

Owner

Name: Project MONAI
Login: Project-MONAI
Kind: organization

Website: https://monai.io/
Twitter: ProjectMONAI
Repositories: 23
Profile: https://github.com/Project-MONAI

AI Toolkit for Healthcare Imaging

Citation (CITATION.cff)

# YAML 1.2
# Metadata for citation of this software according to the CFF format (https://citation-file-format.github.io/)
#
---
title: "MONAI: Medical Open Network for AI"
abstract: "AI Toolkit for Healthcare Imaging"
authors:
  - name: "MONAI Consortium"
date-released: 2025-06-13
version: "1.5.0"
identifiers:
  - description: "This DOI represents all versions of MONAI, and will always resolve to the latest one."
    type: doi
    value: "10.5281/zenodo.4323058"
license: "Apache-2.0"
repository-code: "https://github.com/Project-MONAI/MONAI"
url: "https://monai.io"
cff-version: "1.2.0"
message: "If you use this software, please cite it using these metadata."
preferred-citation:
  type: article
  authors:
  - given-names: "M. Jorge"
    family-names: "Cardoso"
  - given-names: "Wenqi"
    family-names: "Li"
  - given-names: "Richard"
    family-names: "Brown"
  - given-names: "Nic"
    family-names: "Ma"
  - given-names: "Eric"
    family-names: "Kerfoot"
  - given-names: "Yiheng"
    family-names: "Wang"
  - given-names: "Benjamin"
    family-names: "Murray"
  - given-names: "Andriy"
    family-names: "Myronenko"
  - given-names: "Can"
    family-names: "Zhao"
  - given-names: "Dong"
    family-names: "Yang"
  - given-names: "Vishwesh"
    family-names: "Nath"
  - given-names: "Yufan"
    family-names: "He"
  - given-names: "Ziyue"
    family-names: "Xu"
  - given-names: "Ali"
    family-names: "Hatamizadeh"
  - given-names: "Wentao"
    family-names: "Zhu"
  - given-names: "Yun"
    family-names: "Liu"
  - given-names: "Mingxin"
    family-names: "Zheng"
  - given-names: "Yucheng"
    family-names: "Tang"
  - given-names: "Isaac"
    family-names: "Yang"
  - given-names: "Michael"
    family-names: "Zephyr"
  - given-names: "Behrooz"
    family-names: "Hashemian"
  - given-names: "Sachidanand"
    family-names: "Alle"
  - given-names: "Mohammad"
    family-names: "Zalbagi Darestani"
  - given-names: "Charlie"
    family-names: "Budd"
  - given-names: "Marc"
    family-names: "Modat"
  - given-names: "Tom"
    family-names: "Vercauteren"
  - given-names: "Guotai"
    family-names: "Wang"
  - given-names: "Yiwen"
    family-names: "Li"
  - given-names: "Yipeng"
    family-names: "Hu"
  - given-names: "Yunguan"
    family-names: "Fu"
  - given-names: "Benjamin"
    family-names: "Gorman"
  - given-names: "Hans"
    family-names: "Johnson"
  - given-names: "Brad"
    family-names: "Genereaux"
  - given-names: "Barbaros S."
    family-names: "Erdal"
  - given-names: "Vikash"
    family-names: "Gupta"
  - given-names: "Andres"
    family-names: "Diaz-Pinto"
  - given-names: "Andre"
    family-names: "Dourson"
  - given-names: "Lena"
    family-names: "Maier-Hein"
  - given-names: "Paul F."
    family-names: "Jaeger"
  - given-names: "Michael"
    family-names: "Baumgartner"
  - given-names: "Jayashree"
    family-names: "Kalpathy-Cramer"
  - given-names: "Mona"
    family-names: "Flores"
  - given-names: "Justin"
    family-names: "Kirby"
  - given-names: "Lee A.D."
    family-names: "Cooper"
  - given-names: "Holger R."
    family-names: "Roth"
  - given-names: "Daguang"
    family-names: "Xu"
  - given-names: "David"
    family-names: "Bericat"
  - given-names: "Ralf"
    family-names: "Floca"
  - given-names: "S. Kevin"
    family-names: "Zhou"
  - given-names: "Haris"
    family-names: "Shuaib"
  - given-names: "Keyvan"
    family-names: "Farahani"
  - given-names: "Klaus H."
    family-names: "Maier-Hein"
  - given-names: "Stephen"
    family-names: "Aylward"
  - given-names: "Prerna"
    family-names: "Dogra"
  - given-names: "Sebastien"
    family-names: "Ourselin"
  - given-names: "Andrew"
    family-names: "Feng"
  doi: "https://doi.org/10.48550/arXiv.2211.02701"
  month: 11
  year: 2022
  title: "MONAI: An open-source framework for deep learning in healthcare"
...

Committers

Last synced: 8 months ago

All Time

Total Commits: 3,215
Total Committers: 224
Avg Commits per committer: 14.353
Development Distribution Score (DDS): 0.744

Past Year

Commits: 197
Committers: 58
Avg Commits per committer: 3.397
Development Distribution Score (DDS): 0.629

Top Committers

Name	Email	Commits
Wenqi Li	w**l@n**m	824
Nic Ma	n**a@n**m	710
YunLiu	5****u	218
Richard Brown	3****o	187
Yiheng Wang	6****v	133
Behrooz	3****h	92
monai-bot	6****t	79
Eric Kerfoot	1****d	61
myron	m****n	54
Mingxin Zheng	1****g	48
Can Zhao	6****o	43
Behrooz	3****z	30
Benjamin Gorman	b**n@u**u	28
Hans Johnson	h**n@u**u	27
Isaac Yang	i**y@n**m	22
deepsource-autofix[bot]	6****]	22
Holger Roth	6****h	20
Yiwen Li	4****0	20
Mohammad Adil	m**l@n**m	18
binliunls	1****s	18
charliebudd	c**d@k**k	18
Dong Yang	d**h@g**m	18
dependabot[bot]	4****]	17
Felix Schnabel	f**l@t**e	16
Yufan He	5****5	14
YanxuanLiu	1****u	13
Yuan-Ting Hsieh (謝沅廷)	y**h@g**m	13
Mohammad Zalbagi Darestani	4****d	12
Ali Hatamizadeh	a**h@n**m	11
Matthias Hadlich	m**h@p**e	10
and 194 more...

Committer Domains (Top 20 + Academic)

nvidia.com: 5 kcl.ac.uk: 4 uiowa.edu: 3 tum.de: 2 kitware.com: 2 163.com: 2 labri.fr: 1 microsoft.com: 1 milania.de: 1 tecnico.ulisboa.pt: 1 nyu.edu: 1 unc.edu: 1 ieee.org: 1 snkeos.com: 1 bwh.harvard.edu: 1 iuct-oncopole.fr: 1 posteo.de: 1 outlook.in: 1 xerise.com: 1 wizofe.uk: 1 ucl.ac.uk: 1 mails.tsinghua.edu.cn: 1 kth.se: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 841
Total pull requests: 1,046
Average time to close issues: 5 months
Average time to close pull requests: 13 days
Total issue authors: 310
Total pull request authors: 156
Average comments per issue: 1.8
Average comments per pull request: 2.88
Merged pull requests: 733
Bot issues: 0
Bot pull requests: 26

Past Year

Issues: 170
Pull requests: 255
Average time to close issues: 24 days
Average time to close pull requests: 15 days
Issue authors: 92
Pull request authors: 69
Average comments per issue: 1.33
Average comments per pull request: 2.89
Merged pull requests: 161
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

KumoLiu (139)
wyli (110)
ericspod (33)
mingxin-zheng (22)
yiheng-wang-nv (20)
drbeh (17)
surajpaib (16)
binliunls (12)
function2-llx (10)
Nic-Ma (9)
dongyang0122 (9)
AHarouni (8)
virginiafdez (7)
ibro45 (7)
vikashg (6)

Pull Request Authors

KumoLiu (316)
monai-bot (57)
wyli (48)
ericspod (44)
yiheng-wang-nv (34)
atbenmurray (33)
marksgraham (30)
mingxin-zheng (28)
dependabot[bot] (25)
virginiafdez (18)
Lucas-rbnt (17)
vgrau98 (14)
freddiewanah (14)
johnzielke (12)
borisfom (12)

Top Labels

Issue Labels

Feature request (190) Contribution wanted (104) bug (84) enhancement (70) good first issue (15) Bundles (13) question (12) Pathology/Microscopy (11) CI/CD (9) documentation (7) need discussions (7) Feedback welcomed (6) community (6) Module: transform (6) Design discussions (6) Module: networks (5) dependencies (5) WG: Research (4) WG: Transforms (4) WG: Evaluation (3) GenerativeModels (3) Module: metrics (2) CookBook (2) Upstream fix required (2) WG: IO (1) Packaging (1) Low risk (1) refactor (1) Module: data (1) help wanted (1)

Pull Request Labels

dependencies (25) Pathology/Microscopy (1) enhancement (1) Feature request (1)

Packages

Total packages: 4
Total downloads:
- pypi 350,114 last-month
Total docker downloads: 9,663

Total dependent packages: 55
(may contain duplicates)
Total dependent repositories: 291
(may contain duplicates)
Total versions: 367
Total maintainers: 1

pypi.org: monai

AI Toolkit for Healthcare Imaging

Homepage: https://monai.io/
Documentation: https://docs.monai.io/
License: Apache License 2.0
Latest release: 1.5.0
published 7 months ago

Versions: 105
Dependent Packages: 48
Dependent Repositories: 269
Downloads: 338,809 Last month
Docker Downloads: 9,215

Rankings

Dependent packages count: 0.4%

Dependent repos count: 0.9%

Stargazers count: 1.0%

Downloads: 1.0%

Average: 1.1%

Forks count: 1.4%

Docker downloads count: 1.7%

Maintainers (1)

projectmonai

Last synced: 4 months ago

pypi.org: monai-weekly

AI Toolkit for Healthcare Imaging

Homepage: https://monai.io/
Documentation: https://docs.monai.io/
License: Apache License 2.0
Latest release: 1.6.dev2535
published 4 months ago

Versions: 247
Dependent Packages: 6
Dependent Repositories: 21
Downloads: 11,305 Last month
Docker Downloads: 448

Rankings

Stargazers count: 0.8%

Forks count: 1.3%

Dependent packages count: 1.6%

Average: 2.3%

Downloads: 2.7%

Dependent repos count: 3.2%

Docker downloads count: 4.3%

Maintainers (1)

projectmonai

Last synced: 4 months ago

nuget.org: monai.deploy.executor

The Medical Open Network for Artificial Intelligence Deploy (MONAID) Application Package Executor is a key component of in the creation of a MONAI Application Package (MAP).

Homepage: https://github.com/Project-MONAI
License: apache-2.0
Latest release: 0.1.0-prealpha.8
published almost 126 years ago

Versions: 9
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent repos count: 7.3%

Average: 13.5%

Dependent packages count: 19.7%

Last synced: 4 months ago

conda-forge.org: monai

MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem.

Homepage: https://monai.io/
License: Apache-2.0
Latest release: 1.0.1
published about 3 years ago

Versions: 6
Dependent Packages: 1
Dependent Repositories: 1

Rankings

Stargazers count: 5.8%

Forks count: 6.0%

Average: 16.3%

Dependent repos count: 24.3%

Dependent packages count: 29.0%

Last synced: 4 months ago

monai

Science Score: 64.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

Features

Requirements

Installation

Getting Started

Citation

Model Zoo

Contributing

Community

Links

Owner

Citation (CITATION.cff)

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

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Issue Authors

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Packages

pypi.org: monai

Rankings

Maintainers (1)

pypi.org: monai-weekly

Rankings

Maintainers (1)

nuget.org: monai.deploy.executor

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conda-forge.org: monai

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