https://github.com/goldencheetah/goldencheetah

Performance Software for Cyclists, Runners, Triathletes and Coaches
https://github.com/goldencheetah/goldencheetah

c-plus-plus cycling linux macos power-meter qt science triathlon windows

Last synced: 5 days ago
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Performance Software for Cyclists, Runners, Triathletes and Coaches

• Host: GitHub
• URL: https://github.com/goldencheetah/goldencheetah
• Owner: GoldenCheetah
• License: gpl-2.0
• Created: 2009-06-22T22:09:22.000Z (over 15 years ago)
• Default Branch: master
• Last Pushed: 2024-10-29T12:49:20.000Z (3 months ago)
• Last Synced: 2024-10-29T15:17:42.290Z (3 months ago)
• Topics: c-plus-plus, cycling, linux, macos, power-meter, qt, science, triathlon, windows
• Language: Standard ML
• Homepage: http://goldencheetah.org/
• Size: 245 MB
• Stars: 1,821
• Watchers: 109
• Forks: 445
• Open Issues: 76
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: COPYING

Awesome Lists containing this project

• awesome-cycling - GoldenCheetah - [ :cn: ] 一个极其专业的运动员管理训练分析的开源本地工具，可自定义程度极高，可以自动导入 Strava 等平台的轨迹，还可以连接室内骑行台进行训练。 (训练与健康管理（Training & Fitness）)

README

        
# GoldenCheetah



## About 

GoldenCheetah is a desktop application for cyclists and triathletes and coaches

* Analyse using summary metrics like BikeStress, TRIMP or RPE

* Extract insight via models like Critical Power and W'bal

* Track and predict performance using models like Banister and PMC

* Optimise aerodynamics using Virtual Elevation

* Train indoors with ANT and BTLE trainers

* Upload and Download with many cloud services including Strava, Withings and Todays Plan

* Import and export data to and from a wide range of bike computers and file formats

* Track body measures, equipment use and setup your own metadata to track  

GoldenCheetah provides tools for users to develop their own own metrics, models and charts

* A high-performance and powerful built-in scripting language

* Local Python runtime or embedding a user installed runtime 

* Embedded user installed R runtime 

GoldenCheetah supports community sharing via the Cloud

* Upload and download user developed metrics

* Upload and download user, Python or R charts

* Import indoor workouts from the ErgDB

* Share anonymised data with researchers via the OpenData initiative

GoldenCheetah is free for everyone to use and modify, released under the GPL v2 open source license with pre-built binaries for Mac, Windows and Linux.

## Installing 

Golden Cheetah install and build instructions are documented

for each platform;

INSTALL-WIN32   For building on Microsoft Windows

INSTALL-LINUX   For building on Linux

INSTALL-MAC     For building on Apple MacOS

macOS and Linux: [![Build Status](https://app.travis-ci.com/GoldenCheetah/GoldenCheetah.svg?branch=master)](https://app.travis-ci.com/GoldenCheetah/GoldenCheetah)

Windows: [![Build status](https://ci.appveyor.com/api/projects/status/i6dwn4m8oyu52ihi?svg=true)](https://ci.appveyor.com/project/Joern-R/goldencheetah-knhd8)

[![Coverity Status](https://scan.coverity.com/projects/7503/badge.svg)](https://scan.coverity.com/projects/goldencheetah-goldencheetah)

Official release builds, snapshots and development builds are all available from http://www.goldencheetah.org

## NOTIO Fork

If you are looking for the NOTIO fork of GoldenCheetah it can be found here: https://github.com/notio-technologies/GCNotio