{"id":13418234,"url":"https://github.com/GoldenCheetah/GoldenCheetah","last_synced_at":"2025-03-15T03:30:44.930Z","repository":{"id":598281,"uuid":"233792","full_name":"GoldenCheetah/GoldenCheetah","owner":"GoldenCheetah","description":"Performance Software for Cyclists, Runners, Triathletes and Coaches","archived":false,"fork":false,"pushed_at":"2024-10-29T12:49:20.000Z","size":256999,"stargazers_count":1821,"open_issues_count":76,"forks_count":445,"subscribers_count":109,"default_branch":"master","last_synced_at":"2024-10-29T15:17:42.290Z","etag":null,"topics":["c-plus-plus","cycling","linux","macos","power-meter","qt","science","triathlon","windows"],"latest_commit_sha":null,"homepage":"http://goldencheetah.org/","language":"Standard 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ML","funding_links":[],"categories":["TODO scan for Android support in followings","Table of Contents"],"sub_categories":["Other"],"readme":"# GoldenCheetah\n\n\u003cimg src=\"https://raw.githubusercontent.com/GoldenCheetah/GoldenCheetah/067696aafdad21c702672b2c9c41da03c076451c/doc/wiki/GoldenCheetah-Screenshot.png\" width=\"100%\"\u003e\n\n## About \n\nGoldenCheetah is a desktop application for cyclists and triathletes and coaches\n* Analyse using summary metrics like BikeStress, TRIMP or RPE\n* Extract insight via models like Critical Power and W'bal\n* Track and predict performance using models like Banister and PMC\n* Optimise aerodynamics using Virtual Elevation\n* Train indoors with ANT and BTLE trainers\n* Upload and Download with many cloud services including Strava, Withings and Todays Plan\n* Import and export data to and from a wide range of bike computers and file formats\n* Track body measures, equipment use and setup your own metadata to track  \n\nGoldenCheetah provides tools for users to develop their own own metrics, models and charts\n* A high-performance and powerful built-in scripting language\n* Local Python runtime or embedding a user installed runtime \n* Embedded user installed R runtime \n\nGoldenCheetah supports community sharing via the Cloud\n* Upload and download user developed metrics\n* Upload and download user, Python or R charts\n* Import indoor workouts from the ErgDB\n* Share anonymised data with researchers via the OpenData initiative\n\nGoldenCheetah 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.\n\n## Installing \n\nGolden Cheetah install and build instructions are documented\nfor each platform;\n\nINSTALL-WIN32   For building on Microsoft Windows\n\nINSTALL-LINUX   For building on Linux\n\nINSTALL-MAC     For building on Apple MacOS\n\nmacOS and Linux: [![Build Status](https://app.travis-ci.com/GoldenCheetah/GoldenCheetah.svg?branch=master)](https://app.travis-ci.com/GoldenCheetah/GoldenCheetah)\n\nWindows: [![Build status](https://ci.appveyor.com/api/projects/status/i6dwn4m8oyu52ihi?svg=true)](https://ci.appveyor.com/project/Joern-R/goldencheetah-knhd8)\n\n[![Coverity Status](https://scan.coverity.com/projects/7503/badge.svg)](https://scan.coverity.com/projects/goldencheetah-goldencheetah)\n\nOfficial release builds, snapshots and development builds are all available from http://www.goldencheetah.org\n\n## NOTIO Fork\n\nIf you are looking for the NOTIO fork of GoldenCheetah it can be found here: https://github.com/notio-technologies/GCNotio\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FGoldenCheetah%2FGoldenCheetah","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FGoldenCheetah%2FGoldenCheetah","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FGoldenCheetah%2FGoldenCheetah/lists"}