pyecharts
🎨 Python Echarts Plotting Library (by pyecharts)
VisPy
Main repository for Vispy (by vispy)
| pyecharts | VisPy | |
|---|---|---|
| 3 | 6 | |
| 15,636 | 3,515 | |
| 0.4% | 0.8% | |
| 2.4 | 7.8 | |
| about 1 month ago | 7 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
pyecharts
Posts with mentions or reviews of pyecharts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-04-08.
- Apache ECharts
- Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/pyecharts/pyecharts
- Free Price Comparison Tool For Craft Beers
In case you're wondering, the UI is built using pywebio while the charts are made using pyecharts. (As you can tell Frontend isn't my strongest suit).
VisPy
Posts with mentions or reviews of VisPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-10-25.
- Help shape the future of VisPy 2.0 – ideas, feedback, and contributors welcome
- Pygfx
- Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
VisPy - High-performance scientific visualization based on OpenGL.
- Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/vispy/vispy
- 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.
- 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?
When comparing pyecharts and VisPy you can also consider the following projects:
plotly - The interactive graphing library for Python :sparkles:
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
pygwalker - PyGWalker: Turn your dataframe into an interactive UI for visual analysis
matplotlib - matplotlib: plotting with Python
holoviews - With Holoviews, your data visualizes itself.
pyvista - 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)