Alternatives and similar repositories for tsmoothie

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

• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆1,023Updated 3 weeks ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆422Updated 10 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…
  ☆759Updated 10 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆412Updated last year
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,298Updated 3 weeks ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated 11 months ago
• mikekeith52 / scalecast
  The practitioner's forecasting library
  ☆339Updated 3 weeks ago
• alkaline-ml / pmdarima
  A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…
  ☆1,654Updated 7 months ago
• matrix-profile-foundation / matrixprofile
  A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
  ☆384Updated last year
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,828Updated 3 weeks ago
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆398Updated 2 weeks ago
• Nixtla / mlforecast
  Scalable machine 🤖 learning for time series forecasting.
  ☆1,044Updated 3 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆376Updated 11 months ago
• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆417Updated this week
• firmai / atspy
  AtsPy: Automated Time Series Models in Python (by @firmai)
  ☆517Updated 2 years ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆194Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆618Updated last year
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆676Updated this week
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆424Updated 8 months ago
• 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…
  ☆657Updated 4 months ago
• TimeSynth / TimeSynth
  A Multipurpose Library for Synthetic Time Series Generation in Python
  ☆368Updated last year
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated 3 months ago
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆780Updated last year
• dmbee / seglearn
  Python module for machine learning time series:
  ☆576Updated 2 years ago
• odnura / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆58Updated 5 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆182Updated 2 years ago
• cokelaer / fitter
  Fit data to many distributions
  ☆401Updated last month
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated last year
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆578Updated last year
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆883Updated 2 years ago