6/25/2023 0 Comments Goldencheetah strava![]() As a tech lead I was part of the core development team. Sport Data Valley: A Dutch government funded sports data analysis platform.INEOS Grenadiers: British professional cycling team.Entalpi: Advanced analyses on data from exercise tests.HumanGo: Health, fitness, and recovery in one social wellness platform enhanced by AI.Such software is helpful since an important issue and difficulty in assessing field-based. The Sweat Notebooks ( Temporarily unavailable): An application that connects to Strava and generates advanced analysis reports from your workouts by running template Jupyter notebooks. more popular being TrainingPeaks, GoldenCheetah and Strava.json file and lets you do some analyses no force curves. ![]() RP3 data viewer ( in beta): An app that loads an RP3.DFA alpha 1 playground ( in beta): A simple application that loads a FIT file and displays your DFA alpha 1.Heartrate power model dashboard: This dashboard calculates a model for the relationship between your heartrate and power output by uploading a FIT file. Golden Cheetah is one of the most powerful and popular cycling data analysis tools available today.VLamax playground: This application is built as an educational tool and showcase for the concepts behind VLamax and has several interactive charts that help to understand it.GoldenCheetah Open Data explorer: A data explorer built with Datasette that lets you explore metadata from GoldenCheetah Open Data by writing SQL queries.Streamlit Activity Viewer: A proof of concept application that shows that it is possible to implement Strava Oauth2 in a Streamlit application and that way access data stored in the Strava platform.I hope you find them interesting or usefull! Most of them are small proof of concepts or dashboards that I developed as an exercise or to get acquainted with a topic. Started by me.īelow is a list of applications that I developed. goldencheetahlib: A Python library for communicating with a local GoldenCheetah application. Golden Cheetah is great but I find its just too much data for productive analysis. ![]()
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