vega VS recharts

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.

We first build the dashboard page where we present stats for relevant KPIs in cards, charts and a table. We use the React-based Recharts library for plotting our data.

Hi all, I am one of the (few) current maintainers of the relatively popular recharts charting library.

This library has more than 20K stars on GitHub and more than 1.3 million weekly downloads on NPM as of August 2023.

Recharts is another React charting library that simplifies creating charts by providing a wide range of chart components out of the box. It is built on top of D3.js but abstracts away the complexities, making it easier for React developers to create interactive and visually appealing charts and graphs. Recharts leverage the power of SVG (Scalable Vector Graphics) for rendering, allowing charts to be scalable and fit on any screen size.

Recharts is a charting library that allows you to create attractive and informative data visualizations.

The next scene I had in mind was an animated pie chart. There are so many charting libraries around that I was sure one of them would fit my needs. The pie chart below was rendered using recharts, utilizing its mount animation. To get the results, I recorded my screen like the first scene.

This is the last integration of this article, and maybe the most fun! A dashboard cannot be considered complete unless we show a chart or diagram to visually display information. For this part of the demo, we’ll use mui for the components and recharts for the graphs.

I built the bot off a typescript discordjs template I found on Replit.com. The Dashboard is built with Wasp (a full-stack React and ExpressJS framework that makes prototyping super quick) and with [recharts](https://www.npmjs.com/package/recharts) (a sexy charts package built on top of D3js). On the backend, I do a lot of work to the data to be able to pass it in different categories to the frontend