pyviz VS nord-deep-mpl-stylesheet

Compare pyviz vs nord-deep-mpl-stylesheet and see what are their differences.

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pyviz nord-deep-mpl-stylesheet
1 1
3 7
- -
0.0 5.3
about 3 years ago 10 months ago
Python Python
GNU General Public License v3.0 or later 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.

pyviz

Posts with mentions or reviews of pyviz. We have used some of these posts to build our list of alternatives and similar projects.

nord-deep-mpl-stylesheet

Posts with mentions or reviews of nord-deep-mpl-stylesheet. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pyviz and nord-deep-mpl-stylesheet you can also consider the following projects:

dash - Data Apps & Dashboards for Python. No JavaScript Required.

Cellular-Automatons - This repository focuses on studying and showcasing interesting patterns emerging from simple rules random motion algorithms. It contains a Conway's Game of life made in Python and a second algorithm for an animation of random walk algorithms on a 2D plane.

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

vscode-theme-nord-deep - Nord Deep, another Nord-based vscode theme. My custom for the best color palette ever. It's the same, but a little more darker and with some extras.

matplotlib - matplotlib: plotting with Python

dufte - :chart_with_upwards_trend: Minimalistic Matplotlib style

Glucodash - A Blood Glucose data visualization tool.

matplotx - :bar_chart: More styles and useful extensions for Matplotlib

QACoverageTool - Utility to perform tests coverage analysis

SciencePlots - Matplotlib styles for scientific plotting