# jiffyclub/snakeviz

An in-browser Python profile viewer

Repository: https://github.com/jiffyclub/snakeviz
Canonical: https://ross.abutalabs.com/products/snakeviz
Homepage: https://jiffyclub.github.io/snakeviz/
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-02-20T09:53:06+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 68, release rhythm 35, longevity 100
- inputs: {"age_days": 5181, "days_push": 194, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2566, forks 140 (observed 2026-08-28T04:07:01.193453+00:00)

## What it is
SnakeViz is a browser-based graphical viewer for Python cProfile output, serving as a visual alternative to the pstats module. It runs as a local web application and includes IPython/Jupyter magics for profiling code directly.

## Use cases
- visualize python cProfile output in the browser
- find performance bottlenecks in python code
- profile a jupyter notebook cell and see the call graph
- explore a .prof profile file interactively
- replace pstats with a graphical profile viewer
- profile a single line of code with an ipython magic

## When to choose
- you need to inspect Python cProfile/pstats data visually
- you want sunburst and icicle call-graph views of where time is spent
- you work in Jupyter/IPython and want inline profiling
- you prefer a lightweight local tool over heavyweight IDE profilers

## When to avoid
- you need line-level or memory profiling rather than function-level call graphs
- you are profiling non-Python code
- you need automated continuous performance regression testing

## Facets
- artifact type: application
- maturity: stable
- function: data-visualization, benchmarking, cli, developer-tools
- domain: developer-tools, performance, data-visualization
- platform: python, cli, browser, cross-platform
- tags: profiling, cprofile, ipython-magic, jupyter, call-graph, sunburst-chart, command-line

## Member repositories
- jiffyclub/snakeviz (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:01.193453+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:23:23.727109+00:00, confidence not recorded.
  - readme: https://github.com/jiffyclub/snakeviz (fetched 2026-08-28T04:07:01.193453+00:00, sha 7365491eeeab)
  - homepage: https://jiffyclub.github.io/snakeviz/ (fetched 2026-08-29T10:05:50.100846+00:00, sha 7b1de10c723c)
  - registry_pypi: https://pypi.org/pypi/snakeviz/json (fetched 2026-08-29T10:05:50.110114+00:00, sha e03341a58a04)
- Data as of 2026-08-30T08:39:29.467469+00:00.