pyecharts
🎨 Python Echarts Plotting Library (by pyecharts)
bokeh
Interactive Data Visualization in the browser, from Python (by bokeh)
| pyecharts | bokeh | |
|---|---|---|
| 3 | 26 | |
| 15,636 | 20,260 | |
| 0.4% | 0.5% | |
| 2.4 | 9.3 | |
| about 1 month ago | 5 days ago | |
| Python | TypeScript | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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).
bokeh
Posts with mentions or reviews of bokeh. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-25.
- Bokeh: Revolutionizing Interactive Data Visualization
View the Project on GitHub
- Python for Data Visualization: Best Tools and Practices
Bokeh is another library focused on interactive visualizations. It’s designed to handle large datasets and create interactive plots and dashboards. It’s ideal for applications that require user interaction and real-time data updates.
- Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Bokeh - Interactive Web Plotting for Python.
- Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/bokeh/bokeh
- Bokeh Python Library for Interactive Visualizations
- Best data visualisation library
If you don’t mind passing html around this library allows you to share full interactive plot:
- Emerging Rust GUI libraries in a WASM world
It sounds like you want BokehJS. It was one of the alternatives I was recommended while I was exploring, but for various reasons my particular use case is not so easy to integrate (plus my backend was already in Rust).
https://github.com/bokeh/bokeh
I did do a basic test, and the raw rects-on-screen performance is roughly comparable to my final solution.
- What Python modules can I use to create my own indicators? Like the indicator below, I very new to Python so please don’t be rude
I just came across this: https://bokeh.org/
- Interactive plots
Take a look at Bokeh. https://bokeh.org/
- December goals
What are some alternatives?
When comparing pyecharts and bokeh you can also consider the following projects:
plotly - The interactive graphing library for Python :sparkles:
pygwalker - PyGWalker: Turn your dataframe into an interactive UI for visual analysis
seaborn - Statistical data visualization in Python
holoviews - With Holoviews, your data visualizes itself.
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications