argos VS vega

I use a lot of Rust for engineering (mostly on the design than the research part of R&D) and very clear plots are absolutely essential. At the same time, when I start a new analysis, it isn't always clear what I need to plot. So, a workflow that has been excellent for my team and I is to generate large datasets in hdf5 (from Rust), and plot them either directly with Argos (https://github.com/titusjan/argos) or to load them in a Jupyter Notebook in Python and use plotly or PyQtGraph (for very large datasets since it uses your GPU).

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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.