plotnine VS scientific-visualization-book

Compare plotnine vs scientific-visualization-book and see what are their differences.

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib (by rougier)
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plotnine scientific-visualization-book
36 17
3,781 9,995
- -
9.7 3.6
about 6 hours ago 2 months ago
Python Python
MIT License 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.

plotnine

Posts with mentions or reviews of plotnine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-18.

scientific-visualization-book

Posts with mentions or reviews of scientific-visualization-book. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-22.

What are some alternatives?

When comparing plotnine and scientific-visualization-book you can also consider the following projects:

seaborn - Statistical data visualization in Python

matplotlib - matplotlib: plotting with Python

Altair - Declarative statistical visualization library for Python

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

ggplot - ggplot port for python

bokeh - Interactive Data Visualization in the browser, from Python

polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust

DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

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

pydot - Python interface to Graphviz's Dot language

Flask JSONDash - :snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.

patchworklib - Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.