MicroPyScript VS Altair

> And currently using anything but C, C++ or Rust isn't feasible

Someone should tell Anaconda that they can't do this, then: https://pyscript.net/

There's https://pyscript.net/ -- or do you mean for scripting the browser's behaviour rather than replacing JS in website code?

Icepool is a Python package. If you know Python, you have a head start in understading Icepool's syntax. Icepool is written in pure Python and has no dependencies other than the Python Standard Library, allowing you to run it in most places you can run Python. You can directly interoperate Icepool with the extensive Python ecosystem, including Numpy, Matplotlib, and Pandas. Recent projects such as Pyodide, JupyterLite, and PyScript allow Icepool to interoperate with JavaScript, allowing you to make your own web applications using Icepool.

But we're not stuck with one or the other. Python-JS interop has improved greatly in recent years with projects like Pyodide, JupyterLite, and PyScript. Often my strategy is to do the probability in Python and use JS for visualization, as you can see in this ability score calculator or this AnyDice-like interface.

same was done for other languages too, like Python https://pyscript.net/

Finally, there's PyScript. The dream of many Python developers, PyScript allows Python to run in the browser using WebAssembly. As someone who never fully mastered JavaScript, I find this particularly appealing.

I assume your goal is to write the least amount of JavaScript. There's actually a way to run Python in your browser. Take a look at pyscript.net. Not everything is supported, however, so you'd have to check whether the dependencies of the tools you have developed can run.

PyScript. I made a small single-page site that translates code into english with it. Really neat learning experience.

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.