FluxML / Zygote.jl
21st century AD
Why this job: works in the areas we cover, but does not say which job it does
What it does
Zygote provides source-to-source automatic differentiation (AD) in Julia, and is the next-gen AD system for the Flux differentiable programming framework. For more details and benchmarks of Zygote's technique, see our paper. You may want to check out Flux for more interesting examples of Zygote usage; the documentation here focuses on internals and advanced AD usage.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 1,582
- +1 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.7.18
- Released today
- Built with
- Julia
- 100% of the code
Is it looked after?
- Contributors
- 5
- Last 90 days
- Issues
- 78% closed
- 207 still open
- Pull requests
- 621 merged
- 13 waiting
- Releases
- 145
- 7 in the last year
- No contributing guide
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Julia 100%
Topics
- julia
- julia-compiler
- control-flow
- gradient
- machine-learning
- automatic-differentiation
Project record
- JobOther AI tools
- StatusListed
- Commits2,559
- Forks222
- Watching46
- Stars in 28 days+8
- CreatedAug 6, 2018
- First seen by usNov 7, 2026
- CheckedNov 10, 2026