vega VS deneb

Hi HN – Excited to share a beta for Minard, a new data visualization toolkit we've been working on that lets you generate publication-quality charts with simple natural language (throw away your matplotlib docs and rejoice!).

Upload or import CSVs, Excel, and JSON, give it a spin, and please let us know what you think! (Long format data works best for now)

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.

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.