awesome-generative-art VS py5generator

This is something that is pretty much whats closest to my heart. The creative coding / visual scene.

Here is a good list.

https://github.com/kosmos/awesome-generative-art

Also… Shaders ! Is a great way to start.

https://www.vimeo.com/nrlnd

Thats my work. All realtime.

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

> I spent some time porting some of the functions to Python, but realized to make it useful it'd be a bigger effort than I had time and skill.

Getting py5 off the ground started during pandemic lockdown and took many months. Managing the source code is best done computationally, with py5generator creating the actual py5 source code.

https://github.com/py5coding/py5generator