pyecharts
bokeh
pyecharts | bokeh | |
---|---|---|
2 | 24 | |
14,521 | 18,884 | |
0.9% | 0.9% | |
6.6 | 9.5 | |
about 2 months ago | 9 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/pyecharts/pyecharts
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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
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Bokeh - Interactive Web Plotting for Python.
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/bokeh/bokeh
- Bokeh Python Library for Interactive Visualizations
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Best data visualisation library
If you don’t mind passing html around this library allows you to share full interactive plot:
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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.
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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/
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Interactive plots
Take a look at Bokeh. https://bokeh.org/
- December goals
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[OC] The Criminal Podcast's intros have gotten longer over time
I recorded all 200 "I'm Phoebe Judge, this is Criminal" intros from the Criminal podcast, measured the length, and plotted using python's Bokeh package.
- What's the most scalable visualization library?
What are some alternatives?
Flask - The Python micro framework for building web applications.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
PyWebIO - Write interactive web app in script way.
seaborn - Statistical data visualization in Python
pygwalker - PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Altair - Declarative statistical visualization library for Python
Django - The Web framework for perfectionists with deadlines.
matplotlib - matplotlib: plotting with Python
TheAlgorithms - All Algorithms implemented in Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
folium - Python Data. Leaflet.js Maps.