The SuMPF package provides some classes, that implement offline (non-realtime) signal processing functionalities. SuMPF is being developed with a focus on acoustics, but it might be applicable for the analysis of other time series data as well.
Here is a brief example of SuMPF in action:
>>> import sumpf
>>> noise = sumpf.GaussianNoise(mean=0.0,
... standard_deviation=1.0,
... sampling_rate=48000.0,
... length=2 ** 14)
>>> filter_ = sumpf.ButterworthFilter(cutoff_frequency=1000.0, order=4, highpass=True)
>>> filtered = noise * filter_
>>> spectrum = filtered.fourier_transform()The SuMPF package requires Python version 3.7 or later. Most features should be available with Python 3.6 as well.
pip3 install sumpf
The documentation for the SuMPF librariy can be found on Read the Docs.
The SuMPF package is published under the terms and conditions of the GNU lesser general public license version 3 or later (LGPLv3+).