Installation

Windows

pySigLib requires an installation of the MSVC compiler in order to compile the package. Please ensure this exists, then run:

pip install pysiglib

pySigLib will automatically detect CUDA, provided the CUDA_PATH environment variable is set correctly. To manually disable CUDA and build pySigLib for CPU only, create an environment variable CUSIG and set it to 0:

set CUSIG=0
pip install pysiglib

Linux

pySigLib requires an installation of the GCC compiler in order to compile the package. Please ensure this exists, then run:

pip install pysiglib

pySigLib will automatically detect CUDA, provided the CUDA_PATH environment variable is set correctly. On most systems, this path will be /usr/lib/nvidia-cuda-toolkit and one can set it manually by running:

export CUDA_PATH=/usr/lib/nvidia-cuda-toolkit

To manually disable CUDA and build pySigLib for CPU only, create an environment variable CUSIG and set it to 0:

export CUSIG=0
pip install pysiglib

macOS

pySigLib requires an installation of the GCC compiler in order to compile the package. Please ensure this exists, then run:

pip install pysiglib

pySigLib does not support CUDA on macOS, and will build without it when installed.

Citation

If you found this library useful in your research, please consider citing the paper:

@article{shmelev2025pysiglib,
  title={pySigLib-Fast Signature-Based Computations on CPU and GPU},
  author={Shmelev, Daniil and Salvi, Cristopher},
  journal={arXiv preprint arXiv:2509.10613},
  year={2025}
}