napari vs Weasis
Side-by-side comparison for macOS
napari
7.5Multi-dimensional image viewer for Python
Weasis
6.0Free DICOM viewer for displaying and analyzing medical images
| Metric | napari | Weasis |
|---|---|---|
| Category | Science | Science |
| AI Score | 7.5 | 6.0 |
| 30-day Installs | 6 | 350 |
| 90-day Installs | 6 | 689 |
| 365-day Installs | 6 | 2.1K |
| Version | 0.9.2 | 4.7.3 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 2.8K | 1.2K |
| GitHub Forks | 545 | 350 |
| Open Issues | 1.3K | 55 |
| License | BSD-3-Clause | NOASSERTION |
| Language | Python | Java |
| Last GitHub Commit | 17d ago | 7mo ago |
| First Seen | Oct 2, 2026 | May 9, 2024 |
Reviews
napari
Napari is a high-performance, interactive image viewer for multi-dimensional data, primarily used in scientific research. It supports Python integration and offers real-time visualization, benefiting developers and researchers working with complex datasets.
Napari provides a viewer for multi-dimensional images, enabling real-time interaction and visualization of complex data.
Pros
- + Open-source with a permissive BSD license
- + Seamless Python integration for data analysis
- + Supports multi-dimensional data visualization
- + Fast and interactive user experience
Cons
- - No auto-update feature
- - High number of open issues may indicate areas needing attention
Weasis
Weasis is a free DICOM viewer designed for medical professionals, offering advanced image analysis and seamless PACS integration. It supports viewing and analyzing medical images, making it a valuable tool for radiologists and healthcare providers.
Weasis is a DICOM viewer that allows users to display and analyze medical images.
Pros
- + Free and open-source
- + Supports DICOM standard for medical imaging
- + Seamless PACS integration
- + Web-based component for accessibility
Cons
- - Limited community adoption
- - User-reported technical issues on specific hardware