pygraphviz
VisPy
| pygraphviz | VisPy | |
|---|---|---|
| 1 | 4 | |
| 733 | 3,224 | |
| 0.7% | 0.7% | |
| 7.9 | 8.6 | |
| 6 days ago | 20 days ago | |
| C | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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pygraphviz
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Small script to draw graphs
You have to install graphviz and pygraphviz first.
VisPy
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
VisPy - High-performance scientific visualization based on OpenGL.
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/vispy/vispy
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Seeking library recommendation for 3D visualization of crystal structure
Two similar alternatives you could look at are PyVista which is based on the same framework as Mayavi and VisPy. Mayavi is strongly dependent on the whole Enthought suite which can be a disadvantage if you don’t really use its abilities.
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Show HN: MPL Plotter – Python library to make technical plots more efficiently
2. I recommend Datashader (https://datashader.org/) (HoloViz is super cool) and Vispy (https://vispy.org/). I found Vispy's documentation a bit lacking some time ago, but they probably have improved it since then, and it's very capable. Lastly, check Taichi (https://taichi.graphics/), might not be a conventional data representation library (or rather, not only), but it's amazing and worth a look.
To add some more depth to the Seaborn comparison, and not being an expert Seaborn user, I'd say:
1. MPL Plotter is lighter (but also with less wide-ranging plot options)
What are some alternatives?
pydot - Python interface to Graphviz's Dot language
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
matplotlib - matplotlib: plotting with Python
SnakeViz - An in-browser Python profile viewer
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Graphviz - Simple Python interface for Graphviz
pyrender - Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
bokeh - Interactive Data Visualization in the browser, from Python
diagrams - :art: Diagram as Code for prototyping cloud system architectures
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.