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t4a-cubecl

v0.10.0 Experimental

Temporary tensor4all fork of CubeCL for tenferro-rs release preparation.

MIT OR Apache-2.0 Edition 2024
AlgorithmsScienceMathematics #tensor#gpu#gpgpu#cuda#wgpu

Quick Verdict

  • โœ“Actively maintained (updated 21d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

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Downloads
82
Dependents
12
Releases
1
Size
30KB

Deep Insights

๐Ÿ“Š
Download activity

82 downloads in the last 30 days (3/day avg).

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Compact crate

At 29KB, t4a-cubecl is lightweight. Small crate size correlates with focused, well-scoped functionality.

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Used by top crates

Notable dependents include tenferro-linalg, tenferro-gpu, t4a-cubek-std, t4a-cubek-matmul, t4a-cubek-random. When high-quality crates choose t4a-cubecl, it's a strong quality signal.

Health Breakdown

Maintenance 12/25

Recency, release consistency, active ratio

Quality 17/25

Yanked ratio, deps, size, maturity, features

Community 9/20

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
0/day avg
04/265/146/16/197/77/24

Top Dependents

Version Adoption

v0.10.0
100%

Release Timeline

1 releasessince 2026
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Feature Flags

default =["std", "stdlib", "cubecl-core/default", "cubecl-cuda?/default", "cubecl-wgpu?/default"]

std*cudawgpumetalstdlib*webgputracingtemplatewgpu-msltest-runtimecuda-ptx-wmmaprofile-tracyautotune-checksexclusive-memory-only

README

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Maintainers

Dependencies
7
direct dependencies
Dependents
12
crates depend on t4a-cubecl

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