Factual package intelligence from PyPI

timber-compiler 0.6.0 package intelligence

Classical ML Inference Compiler — compiles XGBoost, LightGBM, sklearn, CatBoost, and ONNX models to optimized C99 / LLVM IR / WASM inference artifacts. Includes hardware acceleration (AVX2/NEON/CUDA), safety certification (DO-178C/ISO-26262), supply-chain signing, and embedded/RO

pip install timber-compiler

Current version
0.6.0
Python requirement
>=3.10
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.2 MiB
Release history
6 releases with files
Median release cadence
4 days

timber-compiler dependencies

PyPI declares 30 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. click >=8.1
  2. numpy >=1.24
  3. rich >=13.0
  4. requests >=2.28
  5. cryptography >=41.0
  6. tomli >=2.0 when python_version < "3.11"

The compact report shows 25 of 30 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

timber-compiler publishes 1 wheel and 1 source archive for version 0.6.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.