TEteruakohatu·Dec 27, 2023
Flux is quite a nice lower level library:
https://github.com/FluxML/Flux.jl
On top of that there are many higher level libraries such as Transformers.jl
https://github.com/chengchingwen/Transformers.jl
In Julia 1.10FluxML
Flux.jl
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Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
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What to know before exploring
What it is
Relax! Flux is the ML library that doesn't make you tensor
GitHub
Where it is used
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What people are saying
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Also in these discussions
- fluxml/zygote.jl · linked in 3 of the same discussions
- enzymead/enzyme.jl · linked in 2 of the same discussions
Mentioned in the same Hacker News threads. That is not proof they are substitutes.
This week on Hacker News
Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 5:05:26 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 year28 dated mentions
Observed mentions: 2018-03-30 20:24:08 UTC to 2025-05-09 10:30:13 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 3 | 0 | 3 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 12 | 2 | 10 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 5 | 1 | 4 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
2 sourcesFrom 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
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