VisPy
pymol-open-source
| VisPy | pymol-open-source | |
|---|---|---|
| 4 | 5 | |
| 3,230 | 1,054 | |
| 0.9% | 4.6% | |
| 8.6 | 7.8 | |
| 4 days ago | 3 days ago | |
| Python | C | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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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.
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)
pymol-open-source
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Seeking library recommendation for 3D visualization of crystal structure
Maybe I’m misunderstanding your request, but why not just use pymol? You can make sessions entirely programmatically with python which you can then open in the GUI.
- Does anyone know this 3D style for molecules?
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Why would a business decide to make software open source ?
Indeed. What I had in mind was this one or this one or this one and to a certain extent even Blender.
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Best software for making structure models figures for scientific articles?
Pymol remains open-source and you can download and install it yourself (https://github.com/schrodinger/pymol-open-source). If you prefer not to, you can install open-source builds using homebrew on MacOS, apt-like managers on Linux, or following these instructions on Windows.
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PyMOL
no, there is a separate version called pymol open source (see https://pymolwiki.org/index.php/Windows_Install and https://github.com/schrodinger/pymol-open-source) that you can also install via anconda (or on linux via for example sudo apt-get install pymol) .
What are some alternatives?
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
pyvista - 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
matplotlib - matplotlib: plotting with 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.
bokeh - Interactive Data Visualization in the browser, from Python
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.
SnakeViz - An in-browser Python profile viewer
pygraphviz - Python interface to Graphviz graph drawing package
Altair - Declarative statistical visualization library for Python
seaborn - Statistical data visualization in Python
GR - GR framework: a graphics library for visualisation applications