Alternatives and similar repositories for causal-forest

Users that are interested in causal-forest are comparing it to the libraries listed below

• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆65Updated last year
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆70Updated 4 months ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆86Updated last year
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆157Updated 4 years ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆190Updated last year
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆446Updated 5 months ago
• crflynn / skgrf
  scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library
  ☆34Updated 3 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆105Updated last year
• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 8 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆162Updated 2 years ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆114Updated 4 years ago
• soerenkuenzel / causalToolbox
  ☆43Updated 4 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆83Updated last month
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆53Updated 8 years ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated 2 years ago
• evan-magnusson / rdd
  Python tools for regression discontinuity designs
  ☆70Updated 5 years ago
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆24Updated last week
• claudiashi57 / dragonnet
  ☆280Updated 3 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 3 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 2 months ago
• jgitr / opossum
  ☆17Updated 5 years ago
• dropout009 / sdid_python
  replication python code for synthetic difference in difference simulation. please check https://arxiv.org/abs/1812.09970 and https://gi…
  ☆15Updated 6 years ago
• lewisbails / cem
  cem is a lightweight library for performing coarsened exact matching (CEM). CEM is a modern matching technique useful for causal inferenc…
  ☆26Updated last year
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆147Updated last year
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2025)
  ☆15Updated 7 months ago
• MCFpy / mcf
  Official repository for the mcf package.
  ☆21Updated 2 weeks ago
• ksecology / FixedEffectModel
  Fixedeffectmodel: panel data modeling in Python
  ☆80Updated 3 years ago
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆337Updated 10 months ago