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tract-transformers

v0.22.1 Experimental

Tiny, no-nonsense, self contained, TensorFlow and ONNX inference

MIT OR Apache-2.0 Edition 2024 MSRV 1.85
Science #tensorflow#neuralnetworks#transformers

Quick Verdict

  • โœ“Actively maintained (updated 7d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Tiny footprint (23KB, 1 deps)
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

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Downloads
4.9K
Dependents
35
Releases
8
Size
23KB

Deep Insights

๐Ÿ“Š
Steady growth

627 downloads in the last 30 days (21/day), up 4% from 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 22KB, tract-transformers is lightweight. Small crate size correlates with focused, well-scoped functionality.

๐ŸŒŸ
Used by top crates

Notable dependents include tract, tract-rs, tract-metal, tract-cuda, tract-cli. When high-quality crates choose tract-transformers, it's a strong quality signal.

Health Breakdown

Maintenance 19/25

Recency, release consistency, active ratio

Quality 14/25

Yanked ratio, deps, size, maturity, features

Community 9/20

Reverse deps, ownership, ecosystem

Popularity 4/15

Downloads, momentum, growth trend

Documentation 12/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
17/day avg+74%
020406012/291/162/32/213/113/28

Top Dependents

Version Adoption

v0.21.13
64%
v0.22.0
30%
v0.22.1
3%
v0.23.0-dev.2
3%
v0.21.15
1%

Release Timeline

8 releasessince 2025
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README

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Maintainers

Dependencies
1
direct dependencies
Dependents
35
crates depend on tract-transformers

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