It looks like on mobile in portrait that link isn’t showing up in the header. Thanks for flagging!We’ll get that fixed, but in the meantime the direct login link is <a href="https:&#x2F;&#x2F;minard.ai&#x2F;accounts&#x2F;login&#x2F;" rel="nofollow">https:&#x2F;&#x2F;minard.ai&#x2F;accounts&#x2F;login&#x2F;</a>Note that the site is not mobile optimized at the moment, so you’ll want to be on desktop or at least a tablet to actually play around with it.

Could you please put the link to the login page on the website somewhere? I could sign up (capacity was available), but can’t get back to the user dashboard.Excited to try it out and throw away my mpl&#x2F;seaborn dox!

check examples, seems cool.what I want soon is &#x27;draw me a map of the US, add a blue dot for every X thing in every place.. now add a red dot for every Y thing in 2023&#x27;not sure if that would be possible with this, or it may be available via another tool, have not dove in as deep in these things yet as I would like.

With beautiful charts, I think of how Apple or Vercel does it.

Hi HN – Excited to share a beta for Minard, a new data visualization toolkit we&#x27;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&#x2F;Alpine and all of the charts are specified and rendered as Vega (<a href="https:&#x2F;&#x2F;vega.github.io&#x2F;vega&#x2F;" rel="nofollow">https:&#x2F;&#x2F;vega.github.io&#x2F;vega&#x2F;</a>). Lots of LLM function calling under the hood as well.

Show HN: Minard – Generate beautiful charts with natural language