by rogansage on 4/29/24, 11:13 AM with 60 comments
by kfor on 4/29/24, 2:52 PM
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.
by snide on 4/29/24, 12:18 PM
Nivo is a much simpler system that is styled by default and works much easier with React. If you're not doing complicated charts, it's my goto for the "I just want a nice line/pie/bar chart".
by ushercakes on 4/29/24, 2:50 PM
It's pretty easy to configure and understand. It's the 80/20 principal of charts, it is 80% of D3 functionality for 20% the effort.
by beingflo on 4/29/24, 12:58 PM
by anchen976 on 4/29/24, 1:38 PM
It's fairly powerful but also looks more polished out of the box. Some limitations on styling but that depends on your application/use case.
by xbpx on 4/29/24, 10:37 PM
If you start plotting a lot of data it can grow with you since it supports typed arrays and webgl rendering without undue boilerplate.
Disclaimer... I work for Plotly
by tomjakubowski on 4/29/24, 5:26 PM
by siamese_puff on 4/29/24, 3:21 PM
D3 is the king of data visualization written by Mike Bostock, a creative comp sci dude with incredible data viz and programming skills (love ya Mike)
The initial learning curve is kinda steep, but in reality it’s actually a really logical setup, you just need to build a few mental models. Without a doubt, I would pick D3. Top charting libs use D3 under the hood. It’s so god damn flexible you can build whatever you want.
Study d3indepth.com for a couple weeks, write a lot of code and watch some YouTube videos. The books are usually meh on this subject and outdated. Mike started Observable to make this passion of his profitable. It’s like Jupiter notebooks for visualizations using D3.
I’ve been wanting to write more and use visualizations to strengthen my writing and I’m picking a mix of D3 and standard JS/HTML to do it. Very satisfying
by TN1ck on 4/29/24, 10:19 PM
We use them for all our charting needs (quite a bit!) at re-cap.com.
by pzo on 4/29/24, 4:47 PM
by MattSWilliamson on 5/2/24, 5:39 AM
It's a low-code solution for customer-facing analytics but is super flexible and extensible with code. Embedding is available in React or Vanilla JS (no iFrames). You can build dashboards programmatically or with the no-code editor.
The backend query engine is also pretty powerful; performant and copes well with complex customer data structures.
by jareklupinski on 4/29/24, 2:48 PM
unless you specifically need to handle >100(0) data points, then only uplot or charts js will be performant (for free)
by marban on 4/29/24, 2:56 PM
by joewils on 4/29/24, 2:58 PM
Static charts similar to chart.js, but without all the javascript. I've found static charts are much easier to work with once print CSS layout becomes a requirement.
by justincarter on 4/29/24, 3:10 PM
by farseer on 4/30/24, 12:08 PM
by nickzelei on 4/29/24, 3:53 PM
by hughess on 4/29/24, 5:29 PM
by tommiegannert on 4/29/24, 6:43 PM
by itomato on 4/29/24, 4:44 PM
by sprash on 4/29/24, 3:09 PM
by ilamparithi on 4/30/24, 5:06 PM
by klysm on 4/29/24, 4:31 PM
by champdebloom on 4/29/24, 1:01 PM
by ciscoriordan on 4/29/24, 2:48 PM
by pob944 on 5/2/24, 8:43 PM
by ok1984 on 4/29/24, 11:46 AM
by slake on 4/30/24, 3:23 AM
by devolymp on 4/29/24, 4:49 PM
by gear54rus on 4/29/24, 3:20 PM
by PaywallBuster on 4/29/24, 2:51 PM
by _boffin_ on 4/29/24, 3:16 PM
by url00 on 4/29/24, 3:13 PM