folium VS Altair

A good thing to try would be to look over the folium documentation on their GitHub Page, Folium. For help with code you could ask ChatGPT to explain what you're interested in using their docs.

I currently utilize Folium for a work project but would like to move it out of Folium into something that supports API requests for real-time data and vector tiles instead of raster.

If you know Python you can use Folium produce Leaflet maps without using Javascript. I'm not sure if the updating functionality you require is possible, but could be worth a look.

Try Folium, here are some examples.

For our visualizations we will be using Folium. This is a description from the authors:

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/.

Look in the folium package. https://python-visualization.github.io/folium/

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.

I like Vega-Lite: https://vega.github.io/vega-lite/

It’s built by folks from the same lab as D3, but designed as “a higher-level visual specification language on top of D3” [https://vega.github.io/vega/about/vega-and-d3/]

My favorite way to prototype a dashboard is to use Streamlit to lay things out and serve it and then use Altair [https://altair-viz.github.io/] to generate the Vega-Lite plots in Python. Then if you need to move to something besides Python to productionize, you can produce the same Vega-Lite definitions using the framework of your choice.

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)

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.

https://altair-viz.github.io/

Altair - Declarative statistical visualization library for Python.

Github: Altair

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.