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| vincent | VisPy | |
|---|---|---|
| - | 4 | |
| 2,056 | 3,217 | |
| - | 0.8% | |
| 0.0 | 8.6 | |
| over 7 years ago | 9 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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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?
Altair - Declarative statistical visualization library for Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
matplotlib - matplotlib: plotting with Python
seaborn - Statistical data visualization in Python
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
pyrender - Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
bokeh - Interactive Data Visualization in the browser, from Python
tuna - :fish: Python profile viewer
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.