awesome-creative-coding VS iao

Awesome Creative Coding

As far as I can tell from the Twitter thread, he made a few prototypes. These Tweets made me enter a rabbit hole on the topic of creative coding, there are A TON of very cool tools out there. Here is a list: https://github.com/terkelg/awesome-creative-coding. You could use these frameworks to build a data visualization tool from the ground up. There are also many pre-built data visualization frameworks, but I doubt there's one that can visualize data exactly in the way shown in the Tweets. Here are some libraries (special focus on PKMS): https://github.com/terkelg/awesome-creative-coding. This GitHub repo is also an excellent source of other PKMS tools.

This repo on GitHub is a really great starting point: https://github.com/terkelg/awesome-creative-coding

The source code is visible on-chain - it can be queried from the smart contract, but also it has been etched into the data of the “script upload” transaction. This is how ArtBlocks and other projects can fetch the script and display it. But that doesn’t mean the code is open source! Just like scripts on a website (which are also easy to see), the author decides on how to license the work.

I often suggest GenerativeArtistry as a simple starting point if you already know a bit of JavaScript and want to understand how it works on a basic level[1]. Tyler Hobbs' blog (OP link) also has some great essays on generative art[2], as with the blog of Anders Hoff[3], and also lots of other resources in awesome-creative-coding repo[4].

[1] - https://generativeartistry.com/

[2] - https://tylerxhobbs.com/essays

[3] - https://inconvergent.net/#writing

[4] - https://github.com/terkelg/awesome-creative-coding

Source (libre/free licensed): https://github.com/abetusk/iao/tree/main/like-go-up

One of the better ones I've found is Tyler Hobbes [0].

I recently found the "Bridges Archive" online [1]. It's a goldmine of ideas (I won't link to them but they have tilings, space filling algorithms, multi-scale Truchet patterns and many more).

I favor the ideas rather than the implementation as I already know how to program so you may do better with learning something like processing/p5.js [2].

In terms of raw ideas, I've found Jared Tarbell to be a huge inspiration [3] [4].

I'm sure I'll get lashed on here for the mere mention of NFTs but I've found there are consistently awesome generative art being displayed on Twitter for artists showing their work and advertising their NFTs for sale. One resource that I've found to be pretty consistently good is fxhash.xyz [5] [6]. Looking for #fxhash tags on Twitter will probably give you rich results.

I also have my own NFTs whose source code I've released as CC0 if you want to take a look [7] (none are for sale right now) along with a half assed attempt at making a list of resources for generative art [8].

There's plenty of "awesome" generative art lists [9] as well as many examples and other projects on p5.js [2]. And of course there's always Reddit [10] [11].

Oh and "Coding Train" is deceptively deep, packing complex ideas in a kind of "cutesy" veneer but still managing to tackle topics that run the gamut of easy to incredibly difficult [12].

There's really too many resources to list. It depends on what level you're at. I tend to focus on Javascript and the 'ideas' rather than the implementation so much. If you're starting from a point of learning programming, you're probably better off going through a tutorial or two on how to actually program and then try and tackle some "classic" generative art examples (grids, recursive grides, flow fields, etc.).

I occasionally run into people who have all their experiments on GitHub which might be enlightening [13].

[0] https://tylerxhobbs.com/essays

[1] https://archive.bridgesmathart.org/#gsc.tab=0

[2] https://p5js.org/examples/

[3] http://www.complexification.net/gallery/

[4] http://levitated.net/

[5] https://www.fxhash.xyz/

[6] https://twitter.com/fx_hash_

[7] https://github.com/abetusk/iao

[8] https://github.com/abetusk/iao/blob/main/Notes.md

[9] https://github.com/kosmos/awesome-generative-art

[10] https://www.reddit.com/r/generative

[11] https://www.reddit.com/r/proceduralgeneration/

[12] https://www.youtube.com/channel/UCvjgXvBlbQiydffZU7m1_aw

[13] https://github.com/anaulin/generative-art

Source Code (CC0 Licensed)

I mentioned it in my other comment but the code is CC0 so please feel free to use it (even for commercial purposes, no need to give credit). There's also a 'boilerplate' project that just displays some simple shapes but provides a skeleton of a project to spring off from, which can be found here (it's pretty rough but maybe it's good enough to get you started).