Alternatives and similar repositories for adtk

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

• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆1,054Updated 2 months ago
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆768Updated last year
• waico / SKAB
  SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
  ☆370Updated last year
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆430Updated last year
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated last year
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆434Updated 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…
  ☆760Updated last year
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆789Updated 2 months ago
• angus924 / rocket
  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
  ☆451Updated 3 years ago
• arundo / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆1,180Updated last year
• TimeEval / GutenTAG
  GutenTAG is an extensible tool to generate time series datasets with and without anomalies; integrated with TimeEval.
  ☆91Updated this week
• mikekeith52 / scalecast
  The practitioner's forecasting library
  ☆345Updated last month
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,329Updated this week
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆197Updated 2 years 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
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆580Updated last year
• datamllab / tods
  TODS: An Automated Time-series Outlier Detection System
  ☆1,624Updated 2 years ago
• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆439Updated this week
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,857Updated 4 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆385Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• arundo / tsaug
  A Python package for time series augmentation
  ☆361Updated 2 years ago
• TimeSynth / TimeSynth
  A Multipurpose Library for Synthetic Time Series Generation in Python
  ☆376Updated 2 years ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,475Updated last week
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated 2 weeks ago
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆406Updated 2 weeks ago
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆705Updated last week
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆635Updated last year
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆183Updated 2 years ago
• skforecast / skforecast
  Time series forecasting with machine learning models
  ☆1,388Updated last week