Alternatives and similar repositories for stumpy

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

• tslearn-team / tslearn
  The machine learning toolkit for time series analysis in Python
  ☆2,996Updated this week
• MaxBenChrist / awesome_time_series_in_python
  This curated list contains python packages for time series analysis
  ☆2,184Updated 2 years ago
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,823Updated last month
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆1,981Updated 2 weeks ago
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,287Updated this week
• ourownstory / neural_prophet
  NeuralProphet: A simple forecasting package
  ☆4,111Updated 5 months ago
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆781Updated last year
• deepcharles / ruptures
  ruptures: change point detection in Python
  ☆1,841Updated last month
• Nixtla / statsforecast
  Lightning ⚡️ fast forecasting with statistical and econometric models.
  ☆4,406Updated last month
• facebookresearch / Kats
  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…
  ☆6,024Updated last week
• unit8co / darts
  A python library for user-friendly forecasting and anomaly detection on time series.
  ☆8,691Updated this week
• linkedin / greykite
  A flexible, intuitive and fast forecasting library
  ☆1,842Updated 4 months ago
• salesforce / Merlion
  Merlion: A Machine Learning Framework for Time Series Intelligence
  ☆4,317Updated last year
• awslabs / gluonts
  Probabilistic time series modeling in Python
  ☆4,921Updated 3 weeks ago
• arundo / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆1,162Updated 10 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…
  ☆1,653Updated 7 months ago
• target / matrixprofile-ts
  A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
  ☆737Updated 11 months ago
• blue-yonder / tsfresh
  Automatic extraction of relevant features from time series:
  ☆8,817Updated 4 months ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,460Updated 2 weeks ago
• Nixtla / mlforecast
  Scalable machine 🤖 learning for time series forecasting.
  ☆1,032Updated 2 months ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,070Updated last month
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,344Updated last week
• sktime / sktime
  A unified framework for machine learning with time series
  ☆9,107Updated this week
• sktime / pytorch-forecasting
  Time series forecasting with PyTorch
  ☆4,336Updated this week
• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆1,021Updated this week
• online-ml / river
  🌊 Online machine learning in Python
  ☆5,408Updated last week
• Nixtla / neuralforecast
  Scalable and user friendly neural forecasting algorithms.
  ☆3,579Updated this week
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,354Updated 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…
  ☆759Updated 10 months ago
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,410Updated this week