Project-MONAI/MONAILabel
MONAI Label is an intelligent open source image labeling and learning tool.
MONAI Label is an intelligent tool that streamlines the process of adding annotations to medical images and using those annotations to build AI models. It takes raw medical images (like CT, MRI scans, or pathology slides) and, with your guidance, helps produce accurate annotated datasets and AI models that can automate future annotation tasks. This is ideal for clinicians, medical researchers, and annotators who need to efficiently label medical images and develop AI-assisted workflows.
819 stars. Available on PyPI.
Use this if you need to efficiently annotate large sets of medical images and want to leverage AI to speed up the process and continuously improve annotation accuracy.
Not ideal if your work does not involve medical images or if you require image annotation for non-medical applications.
Stars
819
Forks
260
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 03, 2026
Commits (30d)
0
Dependencies
36
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Project-MONAI/MONAILabel"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related frameworks
dipy/dipy
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for...
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
neuronets/nobrainer
A framework for developing neural network models for 3D image processing.
axondeepseg/axondeepseg
Axon/Myelin segmentation using Deep Learning
Project-MONAI/monai-deploy-app-sdk
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify...