Unpopular opinion: Matplotlib is a bad library

1. plotnine

   1 36 4,183 9.3 Python

   A Grammar of Graphics for Python

   

   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.

2. Judoscale

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3. patchworklib

   2 5 404 5.2 Jupyter Notebook

   Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.

   

   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.

4. siuba

   3 26 1,168 7.5 Python

   Python library for using dplyr like syntax with pandas and SQL

   

5. mplsel

   4 1 0 10.0 Python

   A Matplotlib utility class to enable easier selection, interaction, modification and duplication of Line2D-based plots

   

6. PyQtGraph

   5 27 4,050 9.3 Python

   Fast data visualization and GUI tools for scientific / engineering applications

   

7. K3D-jupyter

   6 1 977 7.6 Python

   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.

   

   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).

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