Alternatives and similar repositories for causal_impact:

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

• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆280Updated 10 months ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆345Updated last year
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆484Updated 5 months ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆221Updated last year
• laurencium / Causalinference
  Causal Inference in Python
  ☆563Updated 4 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆314Updated last year
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆226Updated 4 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆245Updated 2 years ago
• benmiroglio / pymatch
  ☆281Updated last year
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆460Updated last month
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆285Updated 7 months ago
• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆237Updated 6 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆142Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆247Updated last year
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆414Updated last year
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆321Updated last year
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆183Updated last year
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆199Updated 11 months ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆359Updated 3 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆372Updated 2 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• dataiku-research / mealy
  Model Error Analysis for scikit-learn models.
  ☆29Updated 3 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆630Updated last month
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆138Updated 4 years ago