Alternatives and similar repositories for pywhy-graphs

Users that are interested in pywhy-graphs are comparing it to the libraries listed below

• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆28Updated 5 months ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆101Updated 3 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 5 months ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated last month
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆54Updated 10 months ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆57Updated last month
• causalgraph / causalgraph
  A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
  ☆56Updated last year
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆206Updated last week
• amazon-science / azcausal
  Causal Inference in Python
  ☆43Updated 4 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆78Updated last month
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆139Updated 10 months ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆83Updated last month
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆19Updated last year
• boschresearch / causalAssembly
  ☆30Updated last year
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆67Updated 2 years ago
• pymc-devs / pymc-bart
  ☆112Updated this week
• causalvis / causalvis
  ☆45Updated 9 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆221Updated 5 months ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆75Updated 4 years ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆77Updated last year
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆57Updated last year
• y0-causal-inference / y0
  ❓y0 (pronounced "why not?") is for causal inference in Python
  ☆51Updated 3 weeks ago
• profitopsai / ProRCA
  ☆19Updated last month
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 2 weeks ago
• agrumery / aGrUM
  This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumer…
  ☆40Updated 2 weeks ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆69Updated this week
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆152Updated 2 years ago
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆79Updated last week