Alternatives and similar repositories for Rbeast

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

• mmhs013 / pyMannKendall
  A python package for non parametric Mann Kendall family of trend tests.
  ☆275Updated 6 months ago
• georgebv / pyextremes
  Extreme Value Analysis (EVA) in Python
  ☆260Updated last month
• AbdullahO / mSSA
  Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series
  ☆135Updated last year
• chasmani / piecewise-regression
  piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where th…
  ☆119Updated last year
• kieferk / pymssa
  Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
  ☆167Updated 6 years ago
• phdinds-aim / time_series_handbook
  ☆165Updated 2 years ago
• PrinceJavier / causal_ccm
  Package implementing Convergent Cross Mapping for causality inference in dynamical systems
  ☆48Updated last year
• maximenc / pycop
  Python library for multivariate dependence modeling with Copulas
  ☆115Updated last year
• DanielBok / copulae
  Multivariate data modelling with Copulas in Python
  ☆157Updated 8 months ago
• mrosol / Nonlincausality
  Python package for Granger causality test with nonlinear forecasting methods.
  ☆88Updated last year
• jasperroebroek / sklearn-quantile
  ☆23Updated 7 months ago
• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆437Updated this week
• arthurpessa / ordpy
  A Python package for data analysis with permutation entropy and ordinal network methods.
  ☆105Updated last month
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆86Updated 2 months ago
• vinecopulib / pyvinecopulib
  A Python library for vine copula models
  ☆111Updated this week
• sdv-dev / Copulas
  A library to model multivariate data using copulas.
  ☆613Updated this week
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆432Updated last year
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆86Updated last week
• alan-turing-institute / TCPDBench
  The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data
  ☆143Updated 2 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆334Updated 2 months ago
• LRydin / MFDFA
  Multifractal Detrended Fluctuation Analysis in Python
  ☆150Updated 3 years ago
• nci / scores
  scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
  ☆188Updated 2 weeks ago
• hildensia / bayesian_changepoint_detection
  Methods to get the probability of a changepoint in a time series.
  ☆730Updated 2 years ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆430Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆50Updated 3 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆242Updated 2 weeks ago
• VU-IVM / VineCopulas
  A pure python implementation for vine copulas
  ☆34Updated 10 months ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago
• rakshitha123 / TSForecasting
  This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time…
  ☆234Updated 2 years ago