K3D-jupyter
K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK. (by K3D-tools)
patchworklib
Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine. (by ponnhide)
| K3D-jupyter | patchworklib | |
|---|---|---|
| 1 | 5 | |
| 907 | 345 | |
| 1.1% | - | |
| 7.1 | 6.9 | |
| 4 months ago | 5 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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.
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.
K3D-jupyter
Posts with mentions or reviews of K3D-jupyter.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-21.
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Unpopular opinion: Matplotlib is a bad library
Yes, 3D performance is crap. That's because MPL is a 2D library. If you want 3d, use a 3d API. I quite like https://github.com/K3D-tools/K3D-jupyter . As far as 2d plotting goes, MPL performance is actually rather good. Anti-aliased 2d rendering is more-or-less impossible to hardware accelerate (many people have tried).
patchworklib
Posts with mentions or reviews of patchworklib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-21.
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Python packages to prepare publication-quality figures.
patchworklib: https://github.com/ponnhide/patchworklib
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Patchworklib: A simple matplotlib based interface for preparing a multi-panel figure for publication
GitHub: https://github.com/ponnhide/patchworklib Example demonstration: https://colab.research.google.com/drive/1TVcH3IJy6geDXVJDfOKCPFPsP2GzjxHu?usp=sharing
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Unpopular opinion: Matplotlib is a bad library
I think plotnine is one solution. It is implemented based on matplotlib, but it provides an almost complete ggplot syntax for matplotlib. The other solution is a next-generation seaborn interface. It is also `build on matplotlib and still in progress; however, the API would be really useful! And I have personally also developed a few libraries to solve the complex syntax of matplotlib. As an example, patchworkllib allows dynamic subplot layout on Jupyter-lab. Maybe the library can support handling matplotlib and seaborn plots.
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Dynamic subplot layout on Jupyter-lab
I would like to introduce patchworklib, which allows dynamic subplot layout on Jupyter-lab/notebook.
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Pathcworklib: A subplot manager for intuitive layout in matplotlib
patchworklib
What are some alternatives?
When comparing K3D-jupyter and patchworklib you can also consider the following projects:
siuba - Python library for using dplyr like syntax with pandas and SQL
plotnine - A Grammar of Graphics for Python
bokeh - Interactive Data Visualization in the browser, from Python
patchwork - The Composer of ggplots
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
pyCircos - python Circos
mplsel - A Matplotlib utility class to enable easier selection, interaction, modification and duplication of Line2D-based plots