Project-MONAI/monai-deploy-app-sdk
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
This tool helps AI developers and researchers in healthcare design, build, and test AI applications that analyze medical images. You can integrate various imaging AI models, including MONAI-based transformations, to process DICOM data and generate insights. The result is a packaged, portable application ready for deployment.
125 stars. Available on PyPI.
Use this if you are a healthcare AI developer building inference pipelines for medical imaging and need a structured way to manage data flow, integrate models, and package your application.
Not ideal if you are an end-user clinician or researcher looking for a ready-to-use AI application without needing to develop it yourself.
Stars
125
Forks
67
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Dependencies
6
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Project-MONAI/monai-deploy-app-sdk"
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
Project-MONAI/MONAILabel
MONAI Label is an intelligent open source image labeling and learning tool.
neuronets/nobrainer
A framework for developing neural network models for 3D image processing.
axondeepseg/axondeepseg
Axon/Myelin segmentation using Deep Learning