vega VS MicroPyScript

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For those curious, the stack is a simple Django app with HTMX/Alpine and all of the charts are specified and rendered as Vega (https://vega.github.io/vega/). Lots of LLM function calling under the hood as well.

I recently added support for plotting XGBoost models using Vega (https://vega.github.io/vega/) into the XGBoost Elixir API (https://github.com/acalejos/exgboost).

Since EXGBoost supports loading trained models across different APIs, you can even train using the Python API and then plot using this Elixir API if you prefer.

The Data Source is from devjobsscanner (I am basically the owner, so I have the data) an the tool used to make the chart is Vega

It’s based on Vega https://vega.github.io/vega/ which means it’s an already matured backend. Vega-lite is the Javascript package and Altair is the Python.

Site:: https://vega.github.io/vega/

Eh, I have no reason to, and not much interest in PHP anymore. Things like Vega seem really cool.

This chart is make with Vega (and also all the charts from the article). Data source is from devjobsscanner and contains about 10 Million dev jobs offers, which only a small subset contain salary information thought.

Not that I'm working on it, but I'd love to see a vega stack in rust.

> 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.