argos VS plotters

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).

plotter-rs Cairo backend: Specific backend to interact with a gtk-rs DrawingArea widget.

I would also look at plotters https://github.com/plotters-rs/plotters to replace mathplotlib. Unfortunately, I'm not aware of any library for image transformations/augmentations.

Have you looked into plotters https://github.com/plotters-rs/plotters ? I think it should be possible to integrate it into an app.

About plots, besides plotly, take a look at https://github.com/plotters-rs/plotters and https://github.com/milliams/plotlib

I'd recommend plotters, I've only used it for it's drawing api and I found it quite nice for text rendering.

- https://github.com/plotters-rs/plotters

For those who do not know about them, polars is a data frame crate for Rust and Python. It is also the fastest data frame library, according to benchmarks. Plotters is a crate for data visualisation. Both are the equivalents of pandas and matplotlib from the Python ecosystem. However, the integration with matplotlib in pandas has no equivalent. I would like to propose an effort to integrate polars with plotters, either by modifying the existing codebases, or creating a new bridge crate. I would love to hear opinions about this from the widder community.