Napari

napari is an open-source, interactive viewer for multi-dimensional images in Python. It is designed for browsing, annotating and analyzing large image datasets, and it plugs into the scientific Python ecosystem. The GUI is built on Qt, GPU rendering uses vispy, and data handling relies on numpy and scipy. It is released under the BSD-3-Clause license.

The viewer supports six main layer types: Image, Labels, Points, Vectors, Shapes and Surface. Each corresponds to a data type with its own visualization and interactivity, and layers can be stacked in one view. You can open the viewer from an IPython shell, pass your own array to the imshow function, or call napari.run() inside a script, so it fits into existing analysis code.

Installation is recommended inside a virtual environment, with pip, uv or conda-forge routes described in the documentation. Sample images are available from the File menu to get started quickly. Development happens in the open, with a public roadmap and an invitation to test new releases and contribute ideas and code. The documentation lives at napari.org.