jwkvam/celluloid
:movie_camera: Matplotlib animations made easy observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2846
- days_rel: n/a
- days_push: 929
- n_releases_24m: 0
Adoption not part of the score
1139 stars · 42 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A tiny Python library that simplifies creating Matplotlib animations by wrapping a figure in a Camera object that snapshots each frame. It adapts existing plotting code into animations with minimal changes and works well in Jupyter notebooks.
Use cases
- animate matplotlib plots
- create animation from existing plotting code
- make animated gif or mp4 of plots
- animate subplots in matplotlib
- show plot animations in jupyter notebook
- animate image frames with matplotlib
When to choose
- you already have matplotlib plotting code and want to animate it with minimal changes
- you want a simpler API than matplotlib.animation.FuncAnimation
- you work in Jupyter notebooks and want inline video output
When to avoid
- you need fine-grained control over animation timing or blitting
- you need interactive or real-time animations
- you use plotting libraries other than matplotlib
Facets
library · maturity maintenance
animation data-visualization data-visualization data-science python matplotlib camera-snapshot jupyter
2 sources
- readme: https://github.com/jwkvam/celluloid · fetched 2026-08-28 · 0dd6219245ac
- registry_pypi: https://pypi.org/pypi/celluloid/json · fetched 2026-08-29 · bd2928d23863
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jwkvam/celluloid | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="jwkvam/celluloid")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem