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ferrotorch-cubecl

v0.2.1 Experimental

Portable GPU backend for ferrotorch via CubeCL (CUDA, ROCm, WGPU)

MIT OR Apache-2.0 Edition 2024 MSRV 1.85
AlgorithmsScienceMathematics #neural-network#machine-learning#tensor#deep-learning#autograd

Quick Verdict

  • โœ“Actively maintained (updated 2d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Team maintained (3 owners)
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

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Downloads
123
Dependents
8
Releases
10
Size
37KB

Deep Insights

๐Ÿ“Š
Download activity

123 downloads in the last 30 days (4/day avg).

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Prolific maintainer

The primary maintainer publishes 85 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

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Compact crate

At 36KB, ferrotorch-cubecl is lightweight. Small crate size correlates with focused, well-scoped functionality.

Health Breakdown

Maintenance 14/25

Recency, release consistency, active ratio

Quality 15/25

Yanked ratio, deps, size, maturity, features

Community 14/20

Reverse deps, ownership, ecosystem

Popularity 2/15

Downloads, momentum, growth trend

Documentation 12/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
1/day avg
0102012/291/162/32/213/113/28

Top Dependents

Most downloaded crates that depend on ferrotorch-cubecl

Version Adoption

v0.1.2
22%
v0.1.3
22%
v0.1.1
19%
v0.2.1
19%
v0.1.9
18%

Release Timeline

10 releasessince 2026
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Feature Flags

cudarocmwgpu

README

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Maintainers

Dependencies
6
direct dependencies
Dependents
8
crates depend on ferrotorch-cubecl

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