Alternatives and similar repositories for pmdarima:

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

• tslearn-team / tslearn
  The machine learning toolkit for time series analysis in Python
  ☆2,954Updated 8 months ago
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,223Updated 2 weeks ago
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,120Updated last year
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,804Updated last year
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆461Updated 2 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…
  ☆749Updated 7 months ago
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆773Updated last year
• dmbee / seglearn
  Python module for machine learning time series:
  ☆574Updated 2 years ago
• MaxBenChrist / awesome_time_series_in_python
  This curated list contains python packages for time series analysis
  ☆2,157Updated 2 years ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆597Updated 7 months ago
• deepcharles / ruptures
  ruptures: change point detection in Python
  ☆1,722Updated last month
• firmai / atspy
  AtsPy: Automated Time Series Models in Python (by @firmai)
  ☆514Updated 2 years ago
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆1,958Updated 2 weeks ago
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆749Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,556Updated 7 months ago
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆483Updated 6 months ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,688Updated 2 weeks ago
• arundo / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆1,147Updated 7 months ago
• Mcompetitions / M4-methods
  Data, Benchmarks, and methods submitted to the M4 forecasting competition
  ☆761Updated 5 years ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆875Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,610Updated 9 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆396Updated 10 months ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,312Updated this week
• linkedin / greykite
  A flexible, intuitive and fast forecasting library
  ☆1,830Updated last month
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆610Updated last year
• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆989Updated 5 months ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆851Updated 6 months ago
• TDAmeritrade / stumpy
  STUMPY is a powerful and scalable Python library for modern time series analysis
  ☆3,839Updated last week
• target / matrixprofile-ts
  A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
  ☆737Updated 8 months ago
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆421Updated 5 months ago