Posts in help-wanted
Xarray ❤️ napari
- 2025 October 24
This post is cross-posted on the Xarray blog.
Making napari and Xarray work better together will benefit many users. This has been long desired by the community but due to various roadblocks never implemented. At the SciPy 2025 sprints we formed a plan to implement a stronger integration.
Triangles Speedup – call for beta testers
- 2025 January 20
We are excited to announce that significant performance improvements are coming to napari Shapes layers.
Shapes layers in napari represent 2D geometric objects, — rectangles, circles, polygons, paths… — possibly embedded in a higher-dimensional space, for example, 2D polygons of cell outlines within a 3D image stack. Vispy, which powers napari’s graphics, uses OpenGL to draw on the screen. The fundamental unit of OpenGL graphics is triangles, which can be put together to draw more complex shapes such as polygons. This means that we have a preproprocessing step in napari to break down input shapes into triangles. This step is called triangulation.