csurfer/pyheatmagic
IPython magic command to profile and view your python code as a heat map. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3302
- days_rel: n/a
- days_push: 780
- n_releases_24m: 0
Adoption not part of the score
1029 stars · 22 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An IPython magic extension that profiles Python code and renders the results as a heat map, wrapping the py-heat library. It exposes a %%heat cell magic that displays or saves the annotated heatmap as an image.
Use cases
- profile python code in a jupyter notebook and visualize hotspots as a heatmap
- find slow lines in a python function from ipython
- save a profiling heatmap to a png file
- visualize line-by-line execution time of notebook code
When to choose
- you work in IPython or Jupyter and want quick visual profiling of a code cell
- you prefer heatmaps over text-based profiler output
When to avoid
- you need profiling outside IPython/Jupyter notebooks
- you need advanced profiling features like call graphs or statistical aggregation
Facets
plugin · maturity maintenance
benchmarking data-visualization developer-tools developer-tools data-visualization performance python cli ipython-magic profiler heatmap jupyter line-profiler
1 source
- readme: https://github.com/csurfer/pyheatmagic · fetched 2026-08-28 · a9822859a648
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| csurfer/pyheatmagic | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="csurfer/pyheatmagic")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem