Seeing nothing similar, here's a shoutout for Gnuplot, a tool I use daily.

http://gnuplot.info/

It'll even plot in your terminal.

No R?

This list is a list of tools for pretty charts as opposed to informative charts, and the latter is much more important.

Also no graphviz![0] I know gephi is gaining a lot of ground, but for a wide range of visualizations requiring actual graphs it is still very hard to beat the simplicity and power of graphviz.

[0] http://www.graphviz.org/

It's a pity that gephi is loosing the edge recently. The development is quite stalled and few things have changed since 2 years ago. It's even pain to get it to work on mac as it works only with java 6 and will not work out of the box :(

...and no mathplotlib, either... I even don't like python that much, but you have to recognize mathplotlib... but hey, at least they got pizzapiechart.js...

Bandwith Exceeded, go there instead: http://webcache.googleusercontent.com/search?q=cache:eB8N3Wm...

Who has deep familiarity with 30 different tools? Isn't this more like "here are 30 results Googling 'dataviz library'". Perhaps that's unfair, but sure it would be more useful as 5 of the best tools.

No Gri either, http://gri.sourceforge.net/gridoc/html/index.html

This is a lazy and meaninglessly generalized list, like a "30 Best Languages for Programming" list. Why are the tools here "best"? Because they make attractive visualizations? Because they are easy to use? Because they are most flexible with data inputs?

I guess the buzzwordy-barely-English summary should have been evidence enough that this is clickbait:

> Technologies such as the ones profiled below are helping to reshape the insights function through making data exploration more accessible to users who lack the knowledge and are not trained as data scientists.

Pretty uneven list of tools indeed; the author doesn't seem to properly appreciate the differences between the various tools.

Or does anybody really use all these data visualization tools to compare?