Alternatives and similar repositories for tslearn

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

• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,867Updated 6 months 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…
  ☆1,699Updated last month
• deepcharles / ruptures
  ruptures: change point detection in Python
  ☆1,956Updated last month
• MaxBenChrist / awesome_time_series_in_python
  This curated list contains python packages for time series analysis
  ☆2,230Updated 2 years ago
• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆1,067Updated 3 months ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆600Updated last year
• stumpy-dev / stumpy
  STUMPY is a powerful and scalable Python library for modern time series analysis
  ☆4,039Updated last week
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,336Updated 2 weeks ago
• wannesm / dtaidistance
  Time series distances: Dynamic Time Warping (fast DTW implementation in C)
  ☆1,210Updated 2 months ago
• blue-yonder / tsfresh
  Automatic extraction of relevant features from time series:
  ☆9,062Updated last month
• arundo / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆1,191Updated last year
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆2,026Updated 6 months ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,610Updated last month
• sktime / sktime
  A unified framework for machine learning with time series
  ☆9,414Updated this week
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,818Updated last month
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆771Updated 2 years ago
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,138Updated 2 years ago
• awslabs / gluonts
  Probabilistic time series modeling in Python
  ☆5,097Updated 4 months ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆580Updated 3 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,805Updated last year
• MaxHalford / prince
  Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
  ☆1,424Updated this week
• datamllab / tods
  TODS: An Automated Time-series Outlier Detection System
  ☆1,637Updated 2 years ago
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,280Updated 2 years ago
• hfawaz / dl-4-tsc
  Deep Learning for Time Series Classification
  ☆1,657Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,648Updated 8 months ago
• sktime / pytorch-forecasting
  Time series forecasting with PyTorch
  ☆4,701Updated last week
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆940Updated this week
• AIStream-Peelout / flow-forecast
  Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
  ☆2,263Updated this week
• target / matrixprofile-ts
  A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
  ☆740Updated last year
• hildensia / bayesian_changepoint_detection
  Methods to get the probability of a changepoint in a time series.
  ☆745Updated last month