Fast Signature Computations on CPU and GPU
In the Data science & ML workbench space, pysiglib takes a focused approach. It focuses on accelerating signature computations for time series and path data analysis in Python. pysiglib is an open-source project aimed at data scientists. The project is open source (Apache-2.0). pysiglib is available on the web and the command line, and it can be self-hosted.
pysiglib first shipped in 2025. Across PulseGate's embedding index, pysiglib has few near neighbours, marking it as relatively distinct. Among its 6 catalogued features are signature computation, CPU/GPU support, and time series analysis.
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