strava
Create artistic visualisations with your exercise data (by marcusvolz)
DataVizProject
DataViz Project (by JoeSwinehart)
Our great sponsors
strava | DataVizProject | |
---|---|---|
2 | 1 | |
481 | 10 | |
- | - | |
3.1 | 0.0 | |
4 months ago | about 3 years ago | |
R | HTML | |
GNU General Public License v3.0 or later | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
strava
Posts with mentions or reviews of strava.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-24.
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Data Analysis
I just searched for Strava on GitHub, but this project in R looks really cool.
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All my activities from the last 5 years
Here's the original repo, which will maybe help...but having my .Rmd file will probably give you a good boost.
DataVizProject
Posts with mentions or reviews of DataVizProject.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-24.
What are some alternatives?
When comparing strava and DataVizProject you can also consider the following projects:
GpxTrackPoster - Create a visually appealing poster from your GPX tracks
ggeffects - Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2