Alternatives and similar repositories for metalearners

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

• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆50Updated last week
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆32Updated 8 months ago
• Techtonique / ahead_python
  Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
  ☆13Updated last month
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆123Updated this week
• koaning / narlogs
  Decorators for logging purposes for all your dataframes
  ☆11Updated 6 months ago
• vincentarelbundock / pymarginaleffects
  ☆73Updated 2 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆38Updated last week
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 2 months ago
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆31Updated last week
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated last month
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆43Updated 2 years ago
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆37Updated last week
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆30Updated last year
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 4 months ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated this week
• RickardKarl / causal-falsify
  causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
  ☆31Updated 3 weeks ago
• causy-dev / causy
  Causal discovery made easy.
  ☆53Updated 4 months ago
• yao-yl / hierarchical-stacking-code
  code and demo for hierarchical stacking paper
  ☆10Updated 4 years ago
• machow / databackend
  ☆11Updated last week
• azukds / tubular
  Python package implementing transformers for pre processing steps for machine learning.
  ☆62Updated this week
• fonnesbeck / vi_pydata_virginia_2025
  A Beginner's Guide to Variational Inference
  ☆18Updated 3 months ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 9 months ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆35Updated 3 weeks ago
• canyon289 / causal_inf_bookclub
  Supporting material for the book club
  ☆15Updated 3 years ago
• arviz-devs / arviz-plots
  ArviZ modular plotting
  ☆18Updated this week
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆54Updated this week
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated 7 months ago