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kosmos
awesome-generative-art
Learning & Reference2018–2024
kosmos / awesome-generative-art

awesome-generative-art

Awesome generative art

5Distinct people
5Mentions
0Explicit recommenders
1.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Awesome generative art

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year5 dated mentions

Observed mentions: 2018-08-28 15:39:17 UTC to 2024-05-20 08:12:23 UTC.

012018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

5 sources
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 re
Read the rest
sults. 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
In Ask HN: Resources to learn generative art programming?
Was researching GA for a business idea recently, here are some of the better resources I found. A collection of my generative artwork, mostly with Processing in Python mode https://github.com/aaronpenne/generative_art cutterkom/generativeart: Create Generative Art with R https://github.com/cutterkom/generativeart kosmos/awesome-generative-art: Awesome generative art https://github.com/kosmos/awesome-generative-art Programming Graphics I: Introduction to Generative Art | Joshua Davis | Skillshare https://www.skillshare.com/classes/Programming-Graphics-I-In...
In Interactive Generative Art
Processing is probably the most popular and accessible. OpenFrameworks and Cinder are probably a bit more powerful, but more difficult to use (built around c++). I also like PaperJS, which is built around JavaScript, but doesn't have the performance of Processing and OpenFrameworks. Finally, you can just use raw drawing APIs (such as Canvas in the browser). Good list of resources here: https://github.com/kosmos/awesome-generative-art
In Why Love Generative Art?

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