GooPyCharts
bokeh
| GooPyCharts | bokeh | |
|---|---|---|
| - | 24 | |
| 205 | 18,848 | |
| - | 0.7% | |
| 0.0 | 9.5 | |
| over 6 years ago | 1 day ago | |
| Python | Python | |
| Apache License 2.0 | 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.
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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.
GooPyCharts
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Tracking mentions began in Dec 2020.
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?
SnakeViz - An in-browser Python profile viewer
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Flask JSONDash - :snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.
seaborn - Statistical data visualization in Python
pygal - PYthon svg GrAph plotting Library
Altair - Declarative statistical visualization library for Python
matplotlib - matplotlib: plotting with Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
folium - Python Data. Leaflet.js Maps.