Alternatives and similar repositories for seasonal

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

• cesium-ml / cesium
  Machine Learning Time-Series Platform
  ☆681Updated 11 months ago
• stringertheory / traces
  A Python library for unevenly-spaced time series analysis
  ☆550Updated 9 months ago
• amanahuja / change-detection-tutorial
  Tutorial on change detection in time series data
  ☆187Updated 3 years ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆469Updated 2 years ago
• nlittlepoole / thermometr
  Open Source Anomaly Detection in Python
  ☆40Updated 10 years ago
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆484Updated 3 weeks ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆424Updated 2 years ago
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,139Updated 2 years ago
• NLeSC / mcfly
  A deep learning tool for time series classification and regression
  ☆366Updated 3 months ago
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated last month
• ruipgil / changepy
  Time series changepoint detection
  ☆104Updated 2 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 8 years ago
• zrnsm / pyculiarity
  A Python port of Twitter's AnomalyDetection R Package
  ☆366Updated 5 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• vc1492a / PyNomaly
  Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in t…
  ☆329Updated 3 months ago
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆188Updated 6 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆244Updated 5 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 5 years ago
• target / matrixprofile-ts
  A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
  ☆739Updated last year
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆222Updated last year
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆346Updated 9 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆580Updated 3 years ago
• DataDog / piecewise
  ## Auto-archived due to inactivity. ## Functions for piecewise regression on time series data
  ☆106Updated 6 years ago
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆241Updated 7 years ago
• hildensia / bayesian_changepoint_detection
  Methods to get the probability of a changepoint in a time series.
  ☆744Updated last month
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 8 months ago
• ajtulloch / sklearn-compiledtrees
  Compiled Decision Trees for scikit-learn
  ☆229Updated 7 months ago
• alexminnaar / time-series-classification-and-clustering
  Time series classification and clustering code written in Python.
  ☆799Updated 4 years ago
• strawlab / pyopy
  Python bindings to interesting matlab libraries for data analysis
  ☆87Updated 9 years ago
• andreas-h / pyloess
  loess smoother / stl seasonal trend decomposition, originally from scipy.sandbox.pyloess
  ☆56Updated 8 years ago