Two main types of files exist for notebooks:
ipynb used by Jupyter.py files used by marimoThis analysis focuses on the ipynb files.
ipynb files are json files that contain the code and data for a notebook.
They also contain the metadata for the notebook as well as the output of the cells.
| Resource | Notes |
|---|---|
| PEPs | |
| PEP 703 - Making the Global Interpreter Lock Optional in CPython | Accepted PEP |
| PEP 779 - Criteria for supported status for free-threaded Python | Acceptance criteria |
| Documentation |
| # Pull Request Report for napari | |
| **Generated on:** 2025-07-01 15:00:38 | |
| **PRs created since:** 2025-04-01 | |
| ## Summary | |
| - **Total PRs:** 371 | |
| - **Total Authors:** 25 | |
| ## PRs by Author | |
| | Author | PR Count | |
| Repository Name | URL | Stars | Description |
|---|---|---|---|
| napari | Link | 2293 | napari: a fast, interactive, multi-dimensional image viewer for python |
| napari-animation | Link | 83 | A napari plugin for making animations |
| cookiecutter-napari-plugin | Link | 69 | Cookiecutter for napari plugins |
| napari.github.io | Link | 44 | website for the napari image viewer |
| napari-graph | Link | 13 | Efficient graph data structures and algorithms for fast slicing, visualization, and editing |
| docs | Link | 12 | Documentation for napari (other than API docs) |