pywt VS ruptures

Compare pywt vs ruptures and see what are their differences.

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pywt ruptures
2 1
1,915 1,473
2.3% -
8.7 5.7
11 days ago 26 days ago
Python Python
MIT License BSD 2-clause "Simplified" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pywt

Posts with mentions or reviews of pywt. We have used some of these posts to build our list of alternatives and similar projects.

ruptures

Posts with mentions or reviews of ruptures. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pywt and ruptures you can also consider the following projects:

pytorch_wavelets - Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

ssqueezepy - Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python

madmom - Python audio and music signal processing library

3.eeg_recognation - Machine learning for Anonymous detection of an alcoholic by EEG signals

expression_evaluator - A basic expression evaluator and depth analyzer

kymatio - Wavelet scattering transforms in Python with GPU acceleration

orbit - A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.

pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

audio-reactive-led-strip - :musical_note: :rainbow: Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi