Scientific Visualization: Python and Matplotlib, by Nicolas Rougier

1. scientific-visualization-book

   1 18 10,774 3.6 Python

   An open access book on scientific visualization using python and matplotlib

   

2. CodeRabbit

   coderabbit.ai featured

   CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

   

3. python-opengl

   2 3 631 - HTML

   An open access book on Python, OpenGL and Scientific Visualization, Nicolas P. Rougier, 2018

   

   Love Mr. Rougier's open books. I supported this one while it was in development and I wasn't disappointment by the final product.

   I've long awaited for him to finish "Python & OpenGL for Scientific Visualization" [0] but I'll take this in the mean time :P

   [0] https://www.labri.fr/perso/nrougier/python-opengl/#python-op...

4. proplot

   3 1 1,125 2.4 Python

   🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics

   

   I can recommend proplot (https://github.com/proplot-dev/proplot) as a ”beautifier” wrapper for Matplotlib—particularly useful for scientific publications

5. seaborn

   4 82 12,955 5.7 Python

   Statistical data visualization in Python

   

   Additionally, Seaborn (https://seaborn.pydata.org/) is a great mention for people that want to use Matplotlib with better default aesthetics, amongst other conveniences:

   "Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics."

6. Genie.jl

   5 23 2,316 8.6 Julia

   🧞The highly productive Julia web framework

   

7. mosaic

   6 5 979 9.5 JavaScript

   An extensible framework for linking databases and interactive views. (by uwdata)

   

   I think https://github.com/uwdata/mosaic is really promising here. See the example https://idl.uw.edu/mosaic/examples/linear-regression.html where the user can recalculate a linear regression based on their selection.

   You'd still need to implement any custom selection widgets, data transformations (like other statistical tests) etc. still missing, but i like the technical design to build on top off. It uses https://github.com/observablehq/plot under the hood, which aims to have just as flexible a grammar as ggplot (already quite capable) but with interactive features (built by the creator of d3 and uses it under its hood).

8. plot

   7 44 4,663 8.3 HTML

   A concise API for exploratory data visualization implementing a layered grammar of graphics

   

   I think https://github.com/uwdata/mosaic is really promising here. See the example https://idl.uw.edu/mosaic/examples/linear-regression.html where the user can recalculate a linear regression based on their selection.

   You'd still need to implement any custom selection widgets, data transformations (like other statistical tests) etc. still missing, but i like the technical design to build on top off. It uses https://github.com/observablehq/plot under the hood, which aims to have just as flexible a grammar as ggplot (already quite capable) but with interactive features (built by the creator of d3 and uses it under its hood).

9. SaaSHub

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