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petite-ad

v0.1.2 Experimental

A lightweight automatic differentiation library for learning and educational purposes

MIT OR Apache-2.0 Edition 2021
AlgorithmsScienceMathematics #backpropagation#machine-learning#autodiff#gradient#differentiation

Quick Verdict

  • โœ“Actively maintained (updated 73d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Tiny footprint (27KB, 1 deps)
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

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Downloads
46
Dependents
0
Releases
3
Size
27KB

Deep Insights

๐Ÿ“Š
Stable downloads

5 downloads in the last 30 days (0/day). Volume is roughly flat compared to the previous period.

๐Ÿชถ
Minimal dependencies

Only 1 direct dependencies. Lean dependency tree means faster builds and lower supply chain risk.

๐Ÿ“
Compact crate

At 27KB, petite-ad is lightweight. Small crate size correlates with focused, well-scoped functionality.

Health Breakdown

Maintenance 10/25

Recency, release consistency, active ratio

Quality 14/25

Yanked ratio, deps, size, maturity, features

Community 6/20

Reverse deps, ownership, ecosystem

Popularity 2/15

Downloads, momentum, growth trend

Documentation 10/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
1/day avg-89%
0510152012/291/162/32/213/113/28

Version Adoption

v0.1.2
37%
v0.1.1
33%
v0.1.0
30%

Release Timeline

3 releasessince 2026
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README

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Maintainers

Dependencies
1
direct dependencies
Dependents
0
crates depend on petite-ad

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