mech VS plotnine

Compare mech vs plotnine and see what are their differences.

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mech plotnine
4 29
175 3,336
8.6% -
8.8 8.4
30 days ago 7 days ago
Rust Python
Apache License 2.0 MIT License
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.


Posts with mentions or reviews of mech. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-03.


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 2022-12-08.

What are some alternatives?

When comparing mech and plotnine 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 (includes Plotly Express) :sparkles:

ggplot - ggplot port for python

bokeh - Interactive Data Visualization in the browser, from Python

polars - Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js

pydot - Python interface to Graphviz's Dot language

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

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

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to:]

Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.