deneb VS Altair

Denab (https://deneb-viz.github.io/) Charticulator https://charticulator.com/

The network visuals can be a little haphazard.. the other option would be to craft exactly what you want in something like Deneb: https://deneb-viz.github.io/

Deneb: A custom visual project that uses Vega and Vega-Lite specifications. Provides a user-friendly interface that allows you to build and customize a wide range of visuals.

Deneb it. https://deneb-viz.github.io

Voronoi tesselations would potentially be doable in Power BI - there's a well-maintained module for D3 that can do them if you want to try building a Power BI custom visual from the ground up, and Deneb can do Voronoi tesselations if you use Vega rather than Vega-Lite. Deneb can help if you don't want to go through the hassle of bootstrapping a custom visual from scratch and dont necessarily have the web development skills (but you will still need to learn a higher-level language in Vega, which is a visualisation grammar). Deneb is also certified, so your work gets the benefits of running inside a custom visual (as if you build your own visual and need it to be certified, you have to submit it to AppSource first).

You use Deneb. Have a read here to get started: https://deneb-viz.github.io/

For another code based approach that allows for much more interactivity I would suggest taking a look at Deneb: https://deneb-viz.github.io/

If your use case is simple, I built Deneb as a means for developers to use a good visual grammar system (Vega or Vega-Lite) inside a certified visual that works much like an R or Python visual, with some integration with Power BI interactivity features. This can be a good compromise if you want to build and prototype quickly without the overhead of bootstrapping a full visual, with all the benefits of it being certified (which you don't get unless you submit to AppSource and go through the approval process). The neat thing is that as the Vega packages are ES6 compliant, you can always lift and shift your work to a dedicated custom visual and put all the other stuff around it later on if you'd prefer to go that route.

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.