30 points FabCH 4 hours ago 16 comments
OmniDiff can diff: code (25 languages), config, images, PDFs, archives, cursors, fonts...
It's fast. It can diff C++ files of tens of thousands of lines in under 100ms, on a 2023 ThinkPad T14s.
It's open source. AGPLv3.
It's based on real diffs. I looked at the 7400 repositories that are listed in Gentoo packages, sampled 2000 diffs and solved them manually to get a good understanding of what is needed, before putting together the diff pipelines for each content type. Incidentally, this also forms the basis of the CI pipeline, so the robustness of the codebase is quite high.
I'm still developing it. It's v0.3.0 at this time. But I have been using it daily as my git difftool for months now, and it works well.
AI Disclosure: Yes, I do use AI. No, I do not vibecode.
paaloeye 4 hours ago | parent
paaloeye 3 hours ago | parent
FabCH 3 hours ago | parent
In the meantime, I added support for all other non-code file formats. Hence the name change.
It’s quite a big chunk of functionality.
anilgulecha 2 hours ago | parent
IMO, you should seek to make this a standard that wins, and hopefully other opportunities that come will be where you make commercial hay. My unsolicited 2c.
FabCH 2 hours ago | parent
I actually don’t care about the commercial license. It’s more of an experiment for my own amusement than an actual attempt at building a commercial project.
If it inspires someone to build another one and we still end up with a better differ, I’m ok with that world. As long as the open source community has a better differ.
Note that there already are at least 3 that I am aware of. But they do perform worse on speed and accuracy.
ipsi 1 hour ago | parent
This is not to say you can't or shouldn't use AI, but it's important to understand the tradeoffs you're making.
[1] https://www.scotusblog.com/cases/thaler-v-perlmutter/ [2] https://www.jenner.com/en/news-insights/client-alerts/us-cop...
FabCH 1 hour ago | parent
That said, even under those rules, I would be comfortable arguing before the court that this code has significant human involvement and easily passes the copyright standard.
It’s also why I don’t think someone can just easily create another one and license it under BSD. My code is AI assisted, but all truly important pieces were human made.
dspillett 14 minutes ago | parent
Get one AI to describe what the code does, and another to implement based on that description. You might even get away with a human doing one of the steps. A variation of the classic “clean room reverse engineering” method that was used by Compaq to reimplement IBM's BIOS and start the clone PC market.
Some argue that “it doesn't work like that” but it certainly seems to be what some people are doing and as yet no one has been confident enough that their copyright extends through this mechanism that they've tested the theory in court.
Note: I'm not saying it is right, but that it might well be perfectly legal. It is definitely possible, practical even. I'd still release stuff under AGPL/similar for the same reasons stated above, but I'd not operate under any illusion that I'd be safe from someone using that method to copy everything they wanted to.
FabCH 5 minutes ago | parent
But I am counting on the fact that _companies_ would be too worried about legal uncertainty to try this.
IshKebab 28 minutes ago | parent
Diffsitter and Difftastic have been around for a while, both MIT, so I doubt it.
cocoto 1 hour ago | parent
FabCH 1 hour ago | parent
Difftastic only diffs code, which is only 2/3 of all diffs.
When only measured on stuff difftastic supports:
Difftastic is perfect on 64% of diffs and near-perfect on 17% more.
Omnidiff is perfect on 90% of diffs and near-perfect on 5% more.
Speed is
p50 - 35ms difftastic vs 4ms OmniDiff p99 - 637ms vs 420ms
Difftastic wins on license. MIT vs AGPL.