Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #6 among Deep Learning repositories tracked this week, and #6 over the last 30 days; #281 of 2,531 repositories GStars tracks this week (top 11%).
1 release in the last 90 days, the latest 20 days ago, with 312 contributors on GitHub.
Use Cases & Benefits
- Provides a PyTorch-based open-source framework for deep learning in healthcare imaging.
- Offers domain-specific, composable APIs and optimized workflows tailored for medical image analysis.
- Use for developing end-to-end deep learning models for multi-dimensional medical image preprocessing and segmentation.
- Use for integrating multi-GPU and multi-node parallelism in clinical imaging research workflows.
- Use for leveraging a community-driven model zoo to accelerate medical imaging AI research and deployment.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Medical Open Network for AI
Please see the technical highlights and What's New of the milestone releases.
MONAI works with the currently supported versions of Python, and depends directly on NumPy and PyTorch with many optional dependencies.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
1.7K+102
Open issues
516+10
Compared with peers in Deep Learning
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| koharu-rs/koharu | 6.4K | +192 | 63 | 30 days ago |
| poloclub/transformer-explainer | 9.0K | +143 | 75 | 858 days ago |
| vllm-project/vllm | 94.9K | +0 | 75 | 3 days ago |
| sapientinc/HRM | 12.7K | +0 | 75 | — |
| Project-MONAI/MONAI | 8.8K | +0 | 75 | 20 days ago |
| opengeos/segment-geospatial | 4.2K | +0 | 75 | 59 days ago |
| Category median | 9.0K | +0 | 75 | — |
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