Alternatives and similar repositories for tsflex

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

• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆421Updated last year
• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆426Updated this week
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆1,035Updated this week
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆196Updated 2 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• Nike-Inc / timeseries-generator
  A library to generate synthetic time series data by easy-to-use factors and generator
  ☆153Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆628Updated last year
• angus924 / minirocket
  MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
  ☆314Updated 3 years ago
• matrix-profile-foundation / matrixprofile
  A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
  ☆385Updated last year
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆327Updated 2 weeks ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆139Updated 4 months ago
• 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…
  ☆760Updated last year
• TimeSynth / TimeSynth
  A Multipurpose Library for Synthetic Time Series Generation in Python
  ☆373Updated last year
• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆251Updated 8 months ago
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆429Updated 10 months ago
• angus924 / rocket
  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
  ☆445Updated 3 years ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated last year
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆765Updated last year
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆183Updated last year
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆380Updated last year
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆691Updated this week
• AutoViML / featurewiz
  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…
  ☆662Updated 6 months ago
• mikekeith52 / scalecast
  The practitioner's forecasting library
  ☆341Updated 2 weeks ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆386Updated last year
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆578Updated last year
• Nixtla / datasetsforecast
  Datasets for time series forecasting
  ☆103Updated last week
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆151Updated 4 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• ermshaua / claspy
  ClaSPy: A Python package for time series segmentation.
  ☆120Updated 3 weeks ago