Alternatives and similar repositories for pywhy-stats

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

• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆106Updated this week
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 9 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆57Updated this week
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 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
  ☆62Updated last month
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆63Updated 4 months ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆58Updated last year
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 5 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆89Updated 5 months ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 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…
  ☆77Updated 4 years ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆105Updated last month
• py-why / causaltune
  AutoML for causal inference.
  ☆230Updated 9 months ago
• boschresearch / causalAssembly
  ☆30Updated last month
• pymc-devs / pymc-bart
  ☆122Updated this week
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆83Updated last month
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 4 months ago
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year
• pedemonte96 / causaleffect
  Python package to compute conditional and non-conditional causal effects.
  ☆35Updated 3 years ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆72Updated last week
• pzivich / zEpid
  Epidemiology analysis package
  ☆149Updated 2 years ago
• causalvis / causalvis
  ☆45Updated last year
• christinaheinze / CompareCausalNetworks
  A unified interface for the estimation of causal networks
  ☆22Updated 5 years ago
• uio-bmi / dagsim
  A framework and specification language for simulating data based on graphical models
  ☆19Updated 4 months ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆19Updated 6 months ago
• RickardKarl / causal-falsify
  causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
  ☆35Updated 3 weeks ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆54Updated last week
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆154Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆48Updated last year