Alternatives and similar repositories for EconML:

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

• uber / causalml
  Uplift modeling and causal inference with machine learning algorithms
  ☆5,340Updated 3 weeks ago
• py-why / dowhy
  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…
  ☆7,416Updated last week
• matheusfacure / python-causality-handbook
  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
  ☆2,908Updated 4 months ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆766Updated last week
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,299Updated 9 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆569Updated this week
• rguo12 / awesome-causality-algorithms
  An index of algorithms for learning causality with data
  ☆3,124Updated 2 months ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,330Updated last week
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,301Updated 3 years ago
• grf-labs / grf
  Generalized Random Forests
  ☆1,007Updated this week
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,167Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆700Updated 2 years ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆759Updated 8 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆567Updated 4 years ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆575Updated 5 years ago
• matteocourthoud / awesome-causal-inference
  A curated list of causal inference libraries, resources, and applications.
  ☆969Updated last week
• akelleh / causality
  Tools for causal analysis
  ☆1,074Updated last month
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆971Updated last week
• PacktPublishing / Causal-Inference-and-Discovery-in-Python
  Causal Inference and Discovery in Python by Packt Publishing
  ☆860Updated 8 months ago
• bashtage / linearmodels
  Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
  ☆980Updated 3 weeks ago
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆1,960Updated last month
• microsoft / causica
  ☆477Updated 4 months ago
• jakobrunge / tigramite
  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
  ☆1,446Updated 3 months ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆463Updated last year
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,399Updated 4 months ago
• google / CausalImpact
  An R package for causal inference in time series
  ☆1,739Updated last year
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆438Updated this week
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆347Updated last year
• huawei-noah / trustworthyAI
  Trustworthy AI related projects
  ☆1,032Updated last month
• claudiashi57 / dragonnet
  ☆265Updated 3 years ago