Alternatives and similar repositories for hctsa:

Users that are interested in hctsa are comparing it to the libraries listed below

• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆404Updated this week
• nikdon / pyEntropy
  Entropy for Python
  ☆351Updated this week
• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆1,004Updated 6 months ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆575Updated 2 years ago
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,811Updated last week
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated 9 months ago
• hildensia / bayesian_changepoint_detection
  Methods to get the probability of a changepoint in a time series.
  ☆711Updated last year
• mohaseeb / shaplets-python
  Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient des…
  ☆222Updated 5 years ago
• hfawaz / InceptionTime
  InceptionTime: Finding AlexNet for Time Series Classification
  ☆661Updated last year
• CSchoel / nolds
  Nonlinear measures for dynamical systems (based on one-dimensional time series)
  ☆282Updated 7 months ago
• fpetitjean / DBA
  DBA: Averaging for Dynamic Time Warping
  ☆189Updated 4 years ago
• patrickzib / SFA
  Scalable Time Series Data Analytics
  ☆315Updated 3 years ago
• pistonly / modwtpy
  modwt in python
  ☆94Updated last year
• raphaelvallat / antropy
  AntroPy: entropy and complexity of (EEG) time-series in Python
  ☆318Updated 3 months ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆416Updated 8 months ago
• matrix-profile-foundation / matrixprofile
  A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
  ☆383Updated last year
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆210Updated last year
• titu1994 / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆507Updated 4 years ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆411Updated last year
• cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline
  Fully Convlutional Neural Networks for state-of-the-art time series classification
  ☆691Updated 5 years ago
• time-series-machine-learning / tsml-java
  Java time series machine learning tools in a Weka compatible toolkit
  ☆160Updated last year
• manu-mannattil / nolitsa
  A Python module implementing some standard algorithms used in nonlinear time series analysis
  ☆182Updated last year
• TheDatumOrg / kshape-python
  Python implementation of k-Shape
  ☆346Updated last year
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated last month
• angus924 / minirocket
  MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
  ☆306Updated 3 years ago
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆756Updated last year
• wannesm / dtaidistance
  Time series distances: Dynamic Time Warping (fast DTW implementation in C)
  ☆1,157Updated 2 months ago
• strawlab / pyopy
  Python bindings to interesting matlab libraries for data analysis
  ☆86Updated 8 years ago
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆503Updated 3 years ago
• MattWillFlood / EntropyHub
  An open-source toolkit for entropic data analysis.
  ☆162Updated this week