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JuliaDiff
Diffractor.jl
Julia2021–2023
JuliaDiff / Diffractor.jl

Diffractor.jl

Next-generation AD

5Distinct people
5Mentions
0Explicit recommenders
454GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Next-generation AD

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 month5 dated mentions

Observed mentions: 2021-07-27 23:10:22 UTC to 2023-12-04 14:08:04 UTC.

0122021-07-01 00:00:00 UTC to 2021-08-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJul 20212021-08-01 00:00:00 UTC to 2021-09-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2021-09-01 00:00:00 UTC to 2021-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-10-01 00:00:00 UTC to 2021-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-11-01 00:00:00 UTC to 2021-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-12-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-01-01 00:00:00 UTC to 2022-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-02-01 00:00:00 UTC to 2022-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-03-01 00:00:00 UTC to 2022-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-04-01 00:00:00 UTC to 2022-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-05-01 00:00:00 UTC to 2022-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-06-01 00:00:00 UTC to 2022-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-07-01 00:00:00 UTC to 2022-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-08-01 00:00:00 UTC to 2022-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-09-01 00:00:00 UTC to 2022-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 20222022-10-01 00:00:00 UTC to 2022-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-11-01 00:00:00 UTC to 2022-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2023-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-01 00:00:00 UTC to 2023-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-04-01 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-01 00:00:00 UTC to 2023-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-06-01 00:00:00 UTC to 2023-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-01 00:00:00 UTC to 2023-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-01 00:00:00 UTC to 2023-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-01 00:00:00 UTC to 2023-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-01 00:00:00 UTC to 2023-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-01 00:00:00 UTC to 2023-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsDec 2023

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
Jul 20212021-07-01 00:00:00 UTC2021-08-01 00:00:00 UTC101
Aug 20212021-08-01 00:00:00 UTC2021-09-01 00:00:00 UTC211
Sep 20212021-09-01 00:00:00 UTC2021-10-01 00:00:00 UTC000
Oct 20212021-10-01 00:00:00 UTC2021-11-01 00:00:00 UTC000
Nov 20212021-11-01 00:00:00 UTC2021-12-01 00:00:00 UTC000
Dec 20212021-12-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
Jan 20222022-01-01 00:00:00 UTC2022-02-01 00:00:00 UTC000
Feb 20222022-02-01 00:00:00 UTC2022-03-01 00:00:00 UTC000
Mar 20222022-03-01 00:00:00 UTC2022-04-01 00:00:00 UTC000
Apr 20222022-04-01 00:00:00 UTC2022-05-01 00:00:00 UTC000
May 20222022-05-01 00:00:00 UTC2022-06-01 00:00:00 UTC000
Jun 20222022-06-01 00:00:00 UTC2022-07-01 00:00:00 UTC000
Jul 20222022-07-01 00:00:00 UTC2022-08-01 00:00:00 UTC000
Aug 20222022-08-01 00:00:00 UTC2022-09-01 00:00:00 UTC000
Sep 20222022-09-01 00:00:00 UTC2022-10-01 00:00:00 UTC000
Oct 20222022-10-01 00:00:00 UTC2022-11-01 00:00:00 UTC000
Nov 20222022-11-01 00:00:00 UTC2022-12-01 00:00:00 UTC000
Dec 20222022-12-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
Jan 20232023-01-01 00:00:00 UTC2023-02-01 00:00:00 UTC000
Feb 20232023-02-01 00:00:00 UTC2023-03-01 00:00:00 UTC000
Mar 20232023-03-01 00:00:00 UTC2023-04-01 00:00:00 UTC000
Apr 20232023-04-01 00:00:00 UTC2023-05-01 00:00:00 UTC000
May 20232023-05-01 00:00:00 UTC2023-06-01 00:00:00 UTC000
Jun 20232023-06-01 00:00:00 UTC2023-07-01 00:00:00 UTC000
Jul 20232023-07-01 00:00:00 UTC2023-08-01 00:00:00 UTC000
Aug 20232023-08-01 00:00:00 UTC2023-09-01 00:00:00 UTC000
Sep 20232023-09-01 00:00:00 UTC2023-10-01 00:00:00 UTC000
Oct 20232023-10-01 00:00:00 UTC2023-11-01 00:00:00 UTC000
Nov 20232023-11-01 00:00:00 UTC2023-12-01 00:00:00 UTC000
Dec 20232023-12-01 00:00:00 UTC2024-01-01 00:00:00 UTC101

What Hacker News says

5 sources
From my point, there is still too much change around automatic differentiation libraries. There is Zygote.jl, which is used in Flux.jl. However, it's more in maintenance mode. At some point, Diffractor.jl was hyped but it didn't take off yet. And then there is Enzyme.jl which people hype now. But for me as a user, it's not clear what I should really do to make my code well differentiable for those libraries. If you stick with torch, jax or tensorflow, everything seems to work better regarding AD. [0]: https://github.com/FluxML/Flux.jl [1]: https://github.com/FluxML/Zygote.jl [2]: https://github.com/JuliaDiff/Diffractor.jl [3]: https://github.com/EnzymeAD/Enzyme.jl
In Potential of the Julia programming language for high energy physics computing
I'm really excited about Julia 1.8 and diffractor: https://github.com/JuliaDiff/Diffractor.jl Keno Fisher did a presentation in a discussion moderated by Simon Peyton Jones here: https://www.youtube.com/watch?v=mQnSRfseu0c Also combined with enzyme which can differentiate through static paths at the llvm bitcode level: https://enzyme.mit.edu/ I wonder what this will enable at the frontier of what is computationally tractable in the combo of physics + ml.
In Julia 1.7 Highlights
Some specific steps that will push it past jax/pytorch for chunky array heavy GPU code (can already beat or meet openblas/MKL for kernels written in scalar form). 1. Better compile time memory management (https://github.com/aviatesk/EscapeAnalysis.jl) 2. Linalg passes built on generic composable compiler ecosystem: https://youtu.be/IlFVwabDh6Q?t=818 3. Metatheory.jl egraph based symbolic optimization interleaved with the abstract interpreter: https://github.com/0x0f0f0f/Metatheory.jl 4. Partial eval mixed concrete and abstract interpretation 5. Compiler based autoparallel with dagger.jl 6. New compiler integrated AD (as a package) that isn't based on an accidental lispy compiler hack like zygote: https://github.com/JuliaDiff/Diffractor.jl 7. Changes to array semantics which will include generic immutability/ ownership concepts. And many m
Read the rest
ore. The key is that all the initial groundwork that traded off fundamental flexibility for specific speed will then feed back into making the ML usecase faster than if it had focused on that initially. People can do all kinds of crazy yet composable things, in pure Julia without modifying the base compiler. Bonus: Being able to modify the type lattice to track custom program properties. This means that you don't need to be stuck into global tradeoffs with a static type system and can do things like opt in track array shapes at compile time per module: https://twitter.com/KenoFischer/status/1407810981338796035 Other packages like for quantum computing are planning to do their own analyses. It's generic and the usecases and compositions aren't frozen at the outset. (unlike for example, the swift tensors fitting perfectly proposal).
In Growing open source from Torch to PyTorch

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