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torsh-autograd

v0.1.1 Experimental

Automatic differentiation engine for ToRSh with PyTorch-compatible API

Apache-2.0 Edition 2021 MSRV 1.77
ScienceMathematics #machine-learning#autodiff#deep-learning#autograd#pytorch

Quick Verdict

  • โœ“Actively maintained (updated 7d ago)
  • !Pre-1.0: API may have breaking changes
  • !Heavy dependency tree (23 direct deps)
  • โœ“Permissive license (Apache-2.0)

Security

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Downloads
1.7K
Dependents
37
Releases
6
Size
788KB

Deep Insights

๐Ÿ“Š
Stable downloads

305 downloads in the last 30 days (10/day). Volume is roughly flat compared to the previous period.

๐Ÿ‘ค
Prolific maintainer

The primary maintainer publishes 603 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

๐Ÿ“ฆ
Heavy dependency tree

23 direct dependencies. Consider the impact on compile times and supply chain complexity.

๐ŸŒŸ
Used by top crates

Notable dependents include torsh-nn, torsh-optim, torsh, torsh-distributed, torsh-series. When high-quality crates choose torsh-autograd, it's a strong quality signal.

Health Breakdown

Maintenance 20/25

Recency, release consistency, active ratio

Quality 12/25

Yanked ratio, deps, size, maturity, features

Community 10/20

Reverse deps, ownership, ecosystem

Popularity 4/15

Downloads, momentum, growth trend

Documentation 15/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
9/day avg+48%
010203012/291/162/32/213/113/28

Top Dependents

Version Adoption

v0.1.0-alpha.1
56%
v0.1.0-alpha.2
17%
v0.1.0
15%
v0.1.0-rc.1
8%
v0.1.0-beta.1
4%

Release Timeline

6 releasessince 2025
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Feature Flags

default =["autograd", "simd", "parallel"]

gpusimd*debugwebgpuautograd*parallel*profilingscirs2-full

README

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Maintainers

Dependencies
23
direct dependencies
Dependents
37
crates depend on torsh-autograd

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