# what-studio/profiling

Was an interactive continuous Python profiler.

Repository: https://github.com/what-studio/profiling
Canonical: https://ross.abutalabs.com/products/profiling
Language: Python
License: BSD-3-Clause
License Family: permissive
Topics: python, live-profiling, profiling, debug, statistical-profiling
Archived: true
Last push: 2020-08-24T01:31:58+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4382, "days_push": 2201, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2934, forks 110 (observed 2026-08-28T04:07:30.796493+00:00)

## What it is
An interactive continuous Python profiler with a TUI viewer, supporting both deterministic and statistical profiling, including live and remote profiling of long-running programs. The project is no longer maintained and recommends py-spy as a replacement.

## Use cases
- profile a python script with an interactive viewer
- continuously profile a long-running web server
- profile a python program remotely over the network
- sample cpu usage of a python application
- inspect call stack profiling statistics in a terminal

## When to choose
- you are stuck on legacy Python 2.7-3.5 on Linux and need an interactive TUI profiler

## When to avoid
- you need a maintained profiler - use py-spy instead
- you need Windows or macOS support
- you are on modern Python versions (3.6+)

## Facets
- artifact type: cli-tool
- maturity: abandoned
- function: benchmarking, developer-tools, terminal-ui
- domain: developer-tools, performance
- platform: python, cli
- tags: profiler, live-profiling, statistical-profiling, tui, unmaintained, command-line, linux

## Member repositories
- what-studio/profiling (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:30.796493+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 2026-08-30T07:33:15.710940+00:00, confidence not recorded.
  - readme: https://github.com/what-studio/profiling (fetched 2026-08-28T04:07:30.796493+00:00, sha ecc545bfee43)
  - registry_pypi: https://pypi.org/pypi/profiling/json (fetched 2026-08-29T09:48:36.712944+00:00, sha 6581647592fc)
- Data as of 2026-08-30T08:39:29.467469+00:00.