# src-d/hercules

Gaining advanced insights from Git repository history.

Repository: https://github.com/src-d/hercules
Canonical: https://ross.abutalabs.com/products/hercules
Language: Go
License: NOASSERTION
License Family: other
Topics: git-analysis, machine-learning, tensorflow, git, mloncode, tensorboard-visualizations, burndown, mining-software-repositories
Last push: 2023-02-07T08:25:31+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3551, "days_push": 1303, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2806, forks 287 (observed 2026-08-28T04:07:22.856084+00:00)

## What it is
Hercules is a fast, customizable Git repository history analysis tool written in Go, with a companion Python package (labours) for visualization. It computes advanced metrics like project burndown, code ownership, churn matrices, developer couples, and sentiment from commit history.

## Use cases
- analyze git repository history for insights
- generate project burndown charts from git history
- measure code ownership and churn over time
- identify coupled files and developers in a codebase
- visualize commit history with tensorboard or matplotlib
- mine software repositories for research

## When to choose
- you need fast, large-scale git history mining
- you want burndown, ownership, or churn analytics from git logs
- you are doing empirical software engineering research

## When to avoid
- you need real-time repository monitoring
- you only want simple git stats like commit counts
- you need actively developed tooling with frequent updates

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: machine-learning, data-visualization, analytics, cli
- domain: developer-tools, version-control, data-science, data-visualization
- platform: windows, cli, python
- tags: git-analysis, mining-software-repositories, burndown, tensorboard, code-history, labours, linux, macos, docker

## Member repositories
- src-d/hercules (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:22.856084+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 2026-08-30T08:14:28.786703+00:00, confidence not recorded.
  - readme: https://github.com/src-d/hercules (fetched 2026-08-28T04:07:22.856084+00:00, sha d4ed982c90b9)
- Data as of 2026-08-30T08:39:29.467469+00:00.