# laike9m/Cyberbrain

Python debugging, redefined.

Repository: https://github.com/laike9m/Cyberbrain
Canonical: https://ross.abutalabs.com/products/cyberbrain
Homepage: http://bit.ly/cyberbrain-features
Language: Python
License: MIT
License Family: permissive
Topics: python, debugging
Last push: 2022-12-30T22:40:02+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2355, "days_push": 1342, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2544, forks 157 (observed 2026-08-28T04:06:59.569247+00:00)

## What it is
Cyberbrain is a Python debugging tool that visualizes program execution as a dataflow graph, letting developers backtrace variable changes and inspect every state of execution without stepping through code. It works via a @trace decorator plus a VS Code/Gitpod extension that renders the visualization panel.

## Use cases
- backtrace variable changes to find bug origins
- visualize program dataflow in a graph
- debug loops without stepping through code
- persist debugging information across program states
- trace a function's execution and return value

## When to choose
- you spend hours stepping through a debugger trying to find where a variable went wrong
- you want a visual dataflow view of how values change during execution
- you debug Python in VS Code or Gitpod

## When to avoid
- you need a debugger for languages other than Python
- you need multiple @trace decorators in one program
- you need actively developed features - the project has had no recent releases

## Facets
- artifact type: library
- maturity: maintenance
- function: data-visualization, developer-tools
- domain: developer-tools, programming-languages, testing
- platform: python, editor-plugin, cross-platform
- tags: debugger, dataflow-analysis, variable-tracing, vscode-extension, trace-decorator, debugging

## Member repositories
- laike9m/Cyberbrain (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:59.569247+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 2026-08-30T02:25:04.319311+00:00, confidence not recorded.
  - readme: https://github.com/laike9m/Cyberbrain (fetched 2026-08-28T04:06:59.569247+00:00, sha 3e085cf5344d)
  - homepage: http://bit.ly/cyberbrain-features (fetched 2026-08-29T10:07:01.731033+00:00, sha ac0e164e718d)
  - registry_pypi: https://pypi.org/pypi/cyberbrain/json (fetched 2026-08-29T10:07:01.733578+00:00, sha 078661ad0f96)
- Data as of 2026-08-30T08:39:29.467469+00:00.