# initialcommit-com/git-sim

Visually simulate Git operations in your own repos with a single terminal command.

Repository: https://github.com/initialcommit-com/git-sim
Canonical: https://ross.abutalabs.com/products/git-sim
Language: Python
License: GPL-2.0
License Family: copyleft
Topics: git, gitpython, manim, opencv, python, python3, visualization
Last push: 2026-05-19T01:44:50+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 83, release rhythm 8, longevity 100
- inputs: {"age_days": 1415, "days_push": 107, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4677, forks 122 (observed 2026-08-28T04:08:56.806623+00:00)

## What it is
git-sim is a Python CLI tool that visually simulates Git operations in your own repositories, generating an image or animated video of what a command would do. It mirrors Git's command-line syntax so simulating commands like merge or rebase feels familiar.

## Use cases
- visualize what a git command will do before running it
- simulate git merge or rebase as a dry run
- create git diagrams for team documentation
- make animated videos explaining git commands
- help visual learners understand git internals

## When to choose
- you want to preview the effect of a git command without mutating your repo
- you're teaching or learning git and want visual explanations
- you need shareable images or videos of git workflows

## When to avoid
- you need to actually execute git operations rather than visualize them
- you want a GUI-based git client
- you need a lightweight tool without Python/Manim dependencies

## Facets
- artifact type: cli-tool
- maturity: active
- function: simulation, developer-tools, cli, data-visualization, version-control
- domain: developer-tools, version-control, education, data-visualization
- platform: cli, python, cross-platform
- tags: git, git-visualization, manim, dry-run, animation, learning-git, command-line

## Member repositories
- initialcommit-com/git-sim (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:56.806623+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 2026-08-29T18:19:21.349592+00:00, confidence not recorded.
  - readme: https://github.com/initialcommit-com/git-sim (fetched 2026-08-28T04:08:56.806623+00:00, sha 2fd5d6bc51f5)
  - registry_pypi: https://pypi.org/pypi/git-sim/json (fetched 2026-08-29T09:03:34.661744+00:00, sha 29e99a32240e)
- Data as of 2026-08-30T08:39:29.467469+00:00.