generate-github-markdown-css VS matplotlib

Compare generate-github-markdown-css vs matplotlib and see what are their differences.

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generate-github-markdown-css matplotlib
1 36
364 19,310
- 1.1%
6.2 10.0
about 2 months ago 5 days ago
JavaScript Python
MIT License Python License 2.0
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.

generate-github-markdown-css

Posts with mentions or reviews of generate-github-markdown-css. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-05.

matplotlib

Posts with mentions or reviews of matplotlib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.

What are some alternatives?

When comparing generate-github-markdown-css and matplotlib you can also consider the following projects:

Altair - Declarative statistical visualization library for Python

PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications

plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

pygal - PYthon svg GrAph plotting Library

bqplot - Plotting library for IPython/Jupyter notebooks

bokeh - Interactive Data Visualization in the browser, from Python

plotnine - A Grammar of Graphics for Python

VisPy - Main repository for Vispy

Graphviz - Simple Python interface for Graphviz

ggplot - ggplot port for python

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

seaborn - Statistical data visualization in Python