Strava-local-heatmap
plotly-calplot
Our great sponsors
| Strava-local-heatmap | plotly-calplot | |
|---|---|---|
| 1 | 1 | |
| 151 | 86 | |
| - | - | |
| 4.8 | 0.0 | |
| 3 months ago | 5 months ago | |
| Python | Python | |
| MIT License | - |
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-local-heatmap
plotly-calplot
-
Create Calendar Plots using Plotly [Project]
I've developed a Python Library called Plotly Calplot to make it easier to visualize and customize time-relevant or time-series data with Plotly interaction.
What are some alternatives?
strava-offline - Keep a local mirror of Strava activities for further analysis/processing
PySimpleGUI - Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.
gpxpy - gpx-py is a python GPX parser. GPX (GPS eXchange Format) is an XML based file format for GPS tracks.
pyheat - pprofile + matplotlib = Python program profiled as an awesome heatmap!
fit2gpx - A simple Python library for converting .FIT files to .GPX files. It also includes tools to convert Strava data downloads in bulk to GPX.
geo-heatmap - :world_map: Generate an interactive geo heatmap from your Google location data
dash - Data Apps & Dashboards for Python. No JavaScript Required.
running_page - Make your own running home page
Flask-Plots - Flask-Plots is a library for creating and rendering static visualizations using Matplotlib in Python.
GpxTrackPoster - Create a visually appealing poster from your GPX tracks
july - A small library for creating pretty heatmaps of daily data.