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trailofbits
graphtage
Python2020–2024
trailofbits / graphtage

graphtage

A semantic diff utility and library for tree-like files such as JSON, JSON5, XML, HTML, YAML, and CSV.

5Distinct people
5Mentions
0Explicit recommenders
2.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A semantic diff utility and library for tree-like files such as JSON, JSON5, XML, HTML, YAML, and CSV.

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, 12:54:37 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: 2020-10-30 19:05:53 UTC to 2024-10-20 15:22:24 UTC.

0122020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20222023-01-01 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; 1 submissions, 0 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
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 UTC211
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
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 UTC110

What Hacker News says

5 sources
I'm not familiar with Pijul, and haven't finished watching this presentation, but IME the problems with modern version control tools is that they still rely on comparing lines of plain text, something we've been doing for decades. Merge conflicts are an issue because our tools are agnostic about the actual content they're tracking. Instead, the tools should be smarter and work on the level of functions, classes, packages, sentences, paragraphs, or whatever primitive makes sense for the project and file that is being changed. In the case of code bases, they need to be aware of the language and the AST of the program. For binary files, they need to be aware of the file format and its binary structure. This would allow them to show actually meaningful diffs, and minimize the chances of conflicts, and of producing a corrupt file after an auto
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matic merge. There has been some research in this area, and there are a few semantic diffing tools[1,2,3], but I'm not aware of this being widely used in any VCS. Nowadays, with all the machine learning advances, the ideal VCS should also use ML to understand the change at a deeper level, and maybe even suggest improvements. If AI can write code for me, it could surely understand what I'm trying to do, and help me so that version control is entirely hands-free, instead of having to fight with it, and be constantly aware of it, as I have to do now. Or, since it's more than likely that humans won't be writing code or text in the near future, we'll skip the next revolution in VCS tools, and AI will be able to version its own software. /sigh I just finished watching the presentation, and Pijul seems like an iterative improvement over Git. Nothing jumped out at me like a killer feature that would make me want to give it a try. It might be because the author focuses too much on technical details and fixing Git's shortcomings, instead of taking a step back and rethinking what a modern VCS tool should look like today. [1]: https://semanticdiff.com/ [2]: https://github.com/trailofbits/graphtage [3]: https://github.com/GumTreeDiff/gumtree
In Pijul: Version-Control Post-Git [video]
I had (maybe unreasonably) hoped that this course would provide a glimpse into how CT can be applied to organizing and processing data in the sense of keywords like "knowledge graphs", "graph databases", "ontologies", "model-based engineering".... And on top of that, representing operations to do meaningful (semantic) version control on these representations (e.g. [1, 2]), and bidirectional transformations [3] between structured representations (e.g. [3, 4] and "Triple Graph Grammars"). I have the sense that there are dozens of disparate concepts and that category theory offers some unifying power. I hope that there simply hasn't been enough work done to do a category-theoretic treatment of all of these topics, and that perhaps even more category theory itself needs to be developed so that there are good ways to talk about concepts that a
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re almost-but-not-quite-entirely described or subsumed by category theory. The alternative is that I'm painfully wrong about what applied category theory aims to be, and that I have a ton of application-specific terms to learn about and won't find a formalization of the sense in which all of these concepts relate. [1] https://en.wikibooks.org/wiki/Understanding_Darcs/Patch_theo... [2] https://github.com/trailofbits/graphtage [3] http://bx-community.wikidot.com [4] https://github.com/grammarware/bx-parsing [5] https://en.wikipedia.org/wiki/QVT [6] http://graphdatamodeling.com/Graph%20Data%20Modeling/GraphQL... [7] https://neo4j.com/developer/guide-data-modeling/ [8] https://web-cats.gitlab.io/#some-of-the-cats-we-come-across [9] http://pauillac.inria.fr/~pilkiewi/papers/boomerang-tr.pdf
In Applied Compositional Thinking for Engineers

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