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.
Why this job: matched by what the repo talks about: framework, sdk, deploy, tool
What it does
- Build medical imaging inference applications using a flexible, extensible & usable Pythonic API
- Easy management of inference applications via programmable Directed Acyclic Graphs (DAGs)
- Built-in operators to load DICOM data to be ingested in an inference app
- Out-of-the-box support for in-proc PyTorch based inference, as well as remote inference via Triton Inference Server
- Easy incorporation of MONAI based pre and post transformations in the inference application
Get started
pip install monai-deploy-app-sdkYou need: This SDK depends on NVIDIA Holoscan SDK (CUDA 13) for its core implementation as well as its CLI, hence inherits its prerequisites, e.g. Ubuntu 22.04 with glibc 2.35+ (see output of ldd --version) and CUDA Runtime 13.0 or above. It is impor; Key runtime dependencies also include nvidia-nvimgcodec and its own dependencies for GPU-accelerated DICOM image decoding.; CUDA 13.0 or above is required along with a supported NVIDIA GPU with at least 8GB of video RAM.
- Maintenance
- Active
- Last commit 15 days ago
- Stars
- 145
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 3.0.0
- Released 18 months ago
- Built with
- Python
- 72% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 78% closed
- 53 still open
- Pull requests
- 236 merged
- 6 waiting
- Releases
- 1
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
More: languages, topics and project record
Languages
- Python 72%
- Jupyter Notebook 25%
- Shell 3%
- Dockerfile <1%
Topics
- ai
- deep-learning
- deploy
- dicom
- healthcare
- image-processing
- machine-learning
- medical-imaging
- ml
- ml-infrastructure
- ml-platform
- mlops
Project record
- JobAgent frameworks
- StatusListed
- Commits585
- Forks72
- Watching20
- Stars in 28 days+3
- CreatedJun 19, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026