bokeh
Interactive Data Visualization in the browser, from Python (by bokeh)
folium
Python Data. Leaflet.js Maps. (by python-visualization)
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| bokeh | folium | |
|---|---|---|
| 24 | 17 | |
| 18,792 | 6,663 | |
| 0.9% | 0.7% | |
| 9.5 | 8.6 | |
| 6 days ago | about 12 hours ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT 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.
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.
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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
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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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What is the best GUI library for Python?
If so, one approach may be to abandon matplotlib for something like bokeh. Bokeh allows you to add many of the classical GUI elements (slider bars, radio buttons, etc). Depending on your needs, it can either make HTML files with your plots or with a little more work you can set it up as a server.
- why doesn't bokeh boxplot appear?
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AAD auth for Plotly Dash
One particular interesting case is Dash by Plotly. While I myself have previously used Bokeh, I quickly made the transition to Dash since I felt it was more ready for usage as a deployed application. Additionally, having access to Plotly as a charting library is a big plus because it is such a successful open-source project with a strong community and a fantastic library.
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Which GUI library is the best and most worth while to learn.
Check out Bokeh https://bokeh.org/
folium
Posts with mentions or reviews of folium.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-25.
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Live update maps
Try Folium, here are some examples.
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How to access a class in DOM object of a map
Unfortunately folium was not meant to be built in this matter. See: https://github.com/python-visualization/folium/issues/848
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Placing a Voronoi diagram over a streetmap (using Python)?
I'm mapping some election results, and trying to create a diagrammatic representation of who voted for whom, and where. I'm using Python, and I can create a perfectly respectable initial map (without Voronoi diagrams) using its folium package, with OpenStreetMap tiles. See https://numbersandshapes.net/posts/post_election_swings/.
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A More Interactive Folium choropleth
Choropleth maps are a quick and easy way to visualize a numeric variable geographically. I love the ease and interactivity of most functions from the folium module, but the choropleth method lacks interactivity and clarity in the legend.
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LeafletJS
This has nothing to do with JS but if you’re looking for something similar for Python I suggest Folium for Python [1] and jupyter notebook.
You can preview the end result here [2]
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Deploying Jupyter Notebook as a Web Page
Folium 🗺 to render Maps and Markers for Office and Customer Locations
What are some alternatives?
When comparing bokeh and folium you can also consider the following projects:
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
seaborn - Statistical data visualization in Python
Altair - Declarative statistical visualization library for Python
matplotlib - matplotlib: plotting with Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
Leaflet - 🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦
Cartopy - Cartopy - a cartographic python library with matplotlib support
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
pygal - PYthon svg GrAph plotting Library
bqplot - Plotting library for IPython/Jupyter notebooks