Alternatives and similar repositories for tsfel

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

• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆438Updated last year
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,868Updated 6 months ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆599Updated last year
• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆455Updated this week
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆770Updated 2 years ago
• angus924 / rocket
  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
  ☆458Updated 3 years ago
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,335Updated this week
• matrix-profile-foundation / matrixprofile
  A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
  ☆385Updated 2 years ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆438Updated last year
• AutoViML / Auto_TS
  Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…
  ☆762Updated last year
• hfawaz / InceptionTime
  InceptionTime: Finding AlexNet for Time Series Classification
  ☆726Updated 2 years ago
• angus924 / minirocket
  MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
  ☆326Updated 3 years ago
• waico / SKAB
  SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
  ☆378Updated last year
• arundo / tsaug
  A Python package for time series augmentation
  ☆365Updated 3 years ago
• TimeSynth / TimeSynth
  A Multipurpose Library for Synthetic Time Series Generation in Python
  ☆383Updated 2 years ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆642Updated last year
• dmbee / seglearn
  Python module for machine learning time series:
  ☆580Updated 3 years ago
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆799Updated 5 months ago
• lmmentel / awesome-time-series
  Resources for working with time series and sequence data
  ☆649Updated 5 months ago
• odnura / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆59Updated 5 years ago
• DataCanvasIO / HyperTS
  A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
  ☆285Updated 9 months ago
• benfulcher / hctsa
  Highly comparative time-series analysis
  ☆807Updated this week
• datamllab / tods
  TODS: An Automated Time-series Outlier Detection System
  ☆1,639Updated 2 years ago
• cuge1995 / awesome-time-series
  list of papers, code, and other resources
  ☆1,039Updated 5 months ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆899Updated 2 years ago
• arundo / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆1,194Updated last year
• Nixtla / mlforecast
  Scalable machine 🤖 learning for time series forecasting.
  ☆1,141Updated this week
• tslearn-team / tslearn
  The machine learning toolkit for time series analysis in Python
  ☆3,082Updated this week
• deepcharles / ruptures
  ruptures: change point detection in Python
  ☆1,964Updated last week
• JulesBelveze / time-series-autoencoder
  PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
  ☆711Updated 2 months ago