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... - Source: Hacker News / about 2 months ago

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. - Source: Hacker News / 5 months ago

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. Source: 12 months ago

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. Source: over 1 year ago

Eh, I have no reason to, and not much interest in PHP anymore. Things like Vega seem really cool. Source: over 1 year ago

Also, I'm using LayAuto software for window placement on a large display (split display in various sized grids - let me know if you want me to share my defaults). This is absolutely invaluable, as otherwise you spend most of your time arranging windows. Another one I've used and likes is Magnet, but it didn't allow me to customise the split and the keyboard shortcuts. Source: over 2 years ago