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
  ☆3,024Updated last week
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆1,988Updated 2 months ago
• deepcharles / ruptures
  ruptures: change point detection in Python
  ☆1,874Updated last month
• MaxBenChrist / awesome_time_series_in_python
  This curated list contains python packages for time series analysis
  ☆2,203Updated 2 years ago
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,846Updated 2 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…
  ☆1,666Updated 9 months ago
• facebookresearch / Kats
  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…
  ☆6,152Updated this week
• ourownstory / neural_prophet
  NeuralProphet: A simple forecasting package
  ☆4,151Updated 7 months ago
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,156Updated 7 months ago
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,314Updated last month
• awslabs / gluonts
  Probabilistic time series modeling in Python
  ☆4,982Updated last week
• arundo / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆1,175Updated last year
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆786Updated last year
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,133Updated last year
• target / matrixprofile-ts
  A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
  ☆737Updated last year
• Nixtla / statsforecast
  Lightning ⚡️ fast forecasting with statistical and econometric models.
  ☆4,481Updated this week
• blue-yonder / tsfresh
  Automatic extraction of relevant features from time series:
  ☆8,916Updated last week
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,114Updated last week
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated last year
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,370Updated 6 months ago
• linkedin / greykite
  A flexible, intuitive and fast forecasting library
  ☆1,849Updated 6 months ago
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆765Updated last year
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,767Updated last month
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,351Updated last month
• sktime / sktime
  A unified framework for machine learning with time series
  ☆9,201Updated this week
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,358Updated last year
• salesforce / Merlion
  Merlion: A Machine Learning Framework for Time Series Intelligence
  ☆4,341Updated last year
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,772Updated 4 months ago
• unit8co / darts
  A python library for user-friendly forecasting and anomaly detection on time series.
  ☆8,834Updated this week
• MaxHalford / prince
  Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
  ☆1,394Updated 2 weeks ago