july
A small library for creating pretty heatmaps of daily data. (by e-hulten)
pyheat
pprofile + matplotlib = Python program profiled as an awesome heatmap! (by csurfer)
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.
july
Posts with mentions or reviews of july.
We have used some of these posts to build our list of alternatives
and similar projects.
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Help needed to print/save plot created by July library
Hello everyone, I was recently working on visualizing some data. One particular use case is creating a heatmap for month/year and I stumbled upon this library: https://github.com/e-hulten/july
pyheat
Posts with mentions or reviews of pyheat.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-02.
What are some alternatives?
When comparing july and pyheat you can also consider the following projects:
plotly-calplot - The easiest and best looking Calendar Heatmap you'll find, made with Plotly.
Strava-local-heatmap - Python script to generate a high resolution heatmap from Strava GPX files
ComplexHeatmap - Make Complex Heatmaps
geo-heatmap - :world_map: Generate an interactive geo heatmap from your Google location data
SnakeViz - An in-browser Python profile viewer