Altair
bokeh
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Altair | bokeh | |
---|---|---|
42 | 24 | |
8,852 | 18,722 | |
1.9% | 1.1% | |
9.0 | 9.5 | |
3 days ago | about 23 hours ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" 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.
Altair
- FLaNK AI Weekly 18 March 2024
- FLaNK AI for 11 March 2024
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Vega-Altair: Declarative Visualization in Python
Feel free to open an issue to let us know which parts of the documentation you find obscure and if you have suggestions for how to improve them. We did a larger overhaul a few months back and are always open to feedback on how to improve it further! https://altair-viz.github.io/
(disclaimer: I'm a co-maintainer of Altair)
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Gnuplotlib: Non-Painful Plotting for NumPy
Vega-Altair is pretty great as well. It uses a grammar of graphics that’s slightly different from ggplot, but has most of the same advantages.
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Altair - Declarative statistical visualization library for Python.
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Top 10 growing data visualization libraries in Python in 2023
Github: Altair
- What python library you are using for interactive visualisation?(other than plotly)
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If you had to pick a library from another language (Rust, JS, etc.) that isn’t currently available in Python and have it instantly converted into Python for you to use, what would it be?
Yeah, that's one of the main reasons I like altair. It has 10M downloads per month and the newest Git update is from two days ago.
- Data Visualization: Choropleth maps with ggplot and R
- What new Python features are the most useful for you?
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
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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/
What are some alternatives?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
seaborn - Statistical data visualization in Python
matplotlib - matplotlib: plotting with Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
folium - Python Data. Leaflet.js Maps.
ggplot - ggplot port for python
plotnine - A Grammar of Graphics for Python
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