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t4a-cubecl-runtime

v0.10.0 Experimental

Temporary tensor4all fork of CubeCL runtime support

MIT OR Apache-2.0 Edition 2024
Science #machine-learning#data#deep-learning

Quick Verdict

  • โœ“Actively maintained (updated 21d ago)
  • !Pre-1.0: API may have breaking changes
  • !Heavy dependency tree (29 direct deps)
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

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Downloads
118
Dependents
10
Releases
1
Size
107KB

Deep Insights

๐Ÿ“Š
Download activity

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

๐Ÿ“ฆ
Heavy dependency tree

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

๐ŸŒŸ
Used by top crates

Notable dependents include t4a-cubecl-core, t4a-cubecl-std, t4a-cubecl-cpp, t4a-cubecl-wgpu, t4a-cubecl-cuda. When high-quality crates choose t4a-cubecl-runtime, it's a strong quality signal.

Health Breakdown

Maintenance 12/25

Recency, release consistency, active ratio

Quality 13/25

Yanked ratio, deps, size, maturity, features

Community 8/20

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", "channel-mutex", "channel-mpsc", "channel-cell", "storage-bytes", "cubecl-common/default"]

std*tracingchannel-cell*channel-mpsc*channel-mutex*profile-tracystorage-bytes*autotune-checksexclusive-memory-only

README

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Maintainers

Dependencies
29
direct dependencies
Dependents
10
crates depend on t4a-cubecl-runtime

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