# GoldenCheetah/GoldenCheetah

Performance Software for Cyclists, Runners, Triathletes and Coaches

Repository: https://github.com/GoldenCheetah/GoldenCheetah
Canonical: https://ross.abutalabs.com/products/goldencheetah
Homepage: http://goldencheetah.org/
Language: Standard ML
License: GPL-2.0
License Family: copyleft
Topics: linux, macos, windows, c-plus-plus, qt, cycling, triathlon, power-meter, science
Last push: 2026-08-25T17:13:51+00:00

## Health v2 (maintenance only)
Score: 73/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 25, longevity 100
- inputs: {"age_days": 6281, "days_push": 8, "days_rel": 285, "gap_med": 236, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2187, forks 475 (observed 2026-08-28T04:06:23.816813+00:00)

## What it is
GoldenCheetah is a free, open-source desktop application for cyclists, runners, triathletes and coaches to import, analyze and model ride and workout data. It offers performance metrics, scientific models (Critical Power, PMC, W'bal), indoor trainer support, cloud service sync, and extensible scripting with Python and R.

## Use cases
- analyze cycling power meter data on my desktop
- track training load and performance for triathlon
- import FIT files from my bike computer
- train indoors with a smart trainer
- sync ride data with Strava
- build custom metrics and charts for workouts
- coach athletes and track their performance trends

## When to choose
- you need deep, scientific analysis of cycling or triathlon data without paying for subscription software
- you want offline desktop analysis with support for many device file formats
- you want to script custom metrics using Python or R

## When to avoid
- you only need a simple mobile app to log rides
- you want a modern web-based or social-first training platform
- you need a lightweight tool with a shallow learning curve

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, analytics, gui, data-science
- domain: sports, data-visualization, analytics
- platform: windows, cross-platform
- tags: cycling, triathlon, power-meter, qt, training-analysis, ride-data, coaching, ant-btle, linux, macos, desktop

## Member repositories
- GoldenCheetah/GoldenCheetah (main) score 73

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:23.816813+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 2026-08-30T02:47:52.177120+00:00, confidence not recorded.
  - readme: https://github.com/GoldenCheetah/GoldenCheetah (fetched 2026-08-28T04:06:23.816813+00:00, sha c22fb5c5dfd2)
  - homepage: http://goldencheetah.org/ (fetched 2026-08-29T10:28:05.075219+00:00, sha 2faea9960d3d)
  - site_page: http://www.goldencheetah.org/RELEASE/older-releases.html (fetched 2026-08-29T10:28:05.086655+00:00, sha f78df4be3832)
- Data as of 2026-08-30T08:39:29.467469+00:00.