Altair VS gnuplotlib

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.

Looks great, minor API usability note: I don't know if there is an official convention but when naming an object that has the potential of overriding a builtin, rather than prepending with an underscore, e.g. `_with`, one does append to it: `with_`. The former is used and recognised for unused variables.

> _with is a curve option that indicates how this dataset should be plotted. It’s _with and not with because the latter is a built-in keyword in Python. [1]

- [1] https://github.com/dkogan/gnuplotlib/blob/master/guide/guide...