Alternatives and similar repositories for pywhy-stats

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

• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆56Updated last week
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆101Updated 3 months ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆69Updated this week
• 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
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆54Updated 10 months ago
• boschresearch / causalAssembly
  ☆30Updated last year
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆57Updated last month
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 4 years 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
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆78Updated last month
• uio-bmi / dagsim
  A framework and specification language for simulating data based on graphical models
  ☆19Updated last month
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆83Updated last month
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 5 months ago
• rflperry / sparse_shift
  ☆11Updated 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
  ☆57Updated last year
• chunlinli / defuse
  Nonlinear Causal Discovery with Confounders
  ☆19Updated 2 years ago
• christinaheinze / CompareCausalNetworks
  A unified interface for the estimation of causal networks
  ☆22Updated 5 years ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆19Updated last year
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆152Updated 2 years ago
• soda-inria / caussim
  Simulations for predictive model selection in causal inference
  ☆13Updated 4 months ago
• y0-causal-inference / y0
  ❓y0 (pronounced "why not?") is for causal inference in Python
  ☆51Updated 3 weeks ago
• almost-matching-exactly / MALTS
  ☆16Updated 10 months ago
• pedemonte96 / causaleffect
  Python package to compute conditional and non-conditional causal effects.
  ☆35Updated 3 years ago
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆18Updated 3 months ago
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆37Updated last year
• BasisResearch / chirho
  An experimental language for causal reasoning
  ☆205Updated last week
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆19Updated 3 months ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 2 weeks ago