napari is a free, open-source viewer for large multi-dimensional images, written for the Python scientific stack. Its developers describe it as a tool for browsing, annotating and analyzing images that have more than two dimensions, such as 3D volumes and time series. The napari download is free under the BSD-3-Clause licence, and each release page on GitHub carries a Windows installer alongside the usual Python packages.
napari is a research tool. It has no dental workflow and no clinical clearance that we could find, so it is not a replacement for a vendor CBCT viewer. It suits people who already handle volume data for study, teaching or research and want a free viewer they can script.
napari at a glance
| Item | Details |
|---|---|
| Latest version | 0.10.0 (30 October 2026), checked 9 November 2026 |
| Licence | Free and open source, BSD-3-Clause |
| Platforms | Windows, macOS and Linux |
| Windows installer size | About 591 MB (x86_64) |
| Built on | Qt interface, vispy GPU rendering, numpy and scipy |
| Official website | napari.org |
| Best for | Viewing and annotating large multi-dimensional images from Python |
What it does
- Displays large multi-dimensional images with GPU-based rendering through vispy.
- Lets you annotate images while browsing them.
- Works inside the Python scientific stack, so images can be handled alongside numpy and scipy code.
- Includes sample images under File > Open Sample, which is a quick way to try the interface.
Who should use it, and who should not
A good fit: a researcher or dental school team that already uses Python and wants one viewer for volumes and annotations.
Not a fit: a clinic that needs to open a patient CBCT disc and take measurements for treatment. For general image analysis without Python, ImageJ / Fiji may be easier to begin with.
Installation notes
- Download the Windows x86_64 installer from the GitHub release page. The 0.10.0 release also lists a file ending in
.buggy.exe; do not use that one. - Run the installer and open a sample image from the File menu.
- Python users can install it into a virtual environment instead, as the README describes.
Limits and what we have not checked
Not tested yet: we have not installed or run this version. We have not confirmed that it opens a DICOM series out of the box, so check the napari documentation and plugin list before relying on it for that format. The project marks 0.10.0 as a major release, so existing scripts may need changes after upgrading. Facts were checked on 9 November 2026 against the release notes and README.
FAQ
Is napari free?
Yes. It is open source under the BSD-3-Clause licence.
Is napari a medical imaging product?
No. It is a general scientific image viewer, and we found no statement that it is cleared for clinical use.
Do I need to know Python?
The Windows installer gives you the viewer, but scripting and much of the advanced use assume some Python knowledge.
Can napari open CBCT scans?
We have not confirmed this. Check file format support in the napari documentation before planning around it.
Last checked against official sources: 9 November 2026 (developer website: napari.org). Versions and licence terms change — confirm on the developer's site before deploying in a clinic.
