Alternatives and similar repositories for scikit-survival

Users that are interested in scikit-survival are comparing it to the libraries listed below

• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆369Updated last year
• CamDavidsonPilon / lifelines
  Survival analysis in Python
  ☆2,542Updated last year
• havakv / pycox
  Survival analysis with PyTorch
  ☆946Updated last year
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆943Updated 2 weeks ago
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆357Updated last year
• jaredleekatzman / DeepSurv
  DeepSurv is a deep learning approach to survival analysis.
  ☆669Updated 5 years ago
• MaxHalford / prince
  Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
  ☆1,427Updated last week
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,376Updated last month
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆402Updated 2 months ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,611Updated 2 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆656Updated last year
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,566Updated last month
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆804Updated 9 months ago
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,280Updated 2 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,819Updated last month
• maximtrp / scikit-posthocs
  Multiple Pairwise Comparisons (Post Hoc) Tests in Python
  ☆378Updated 4 months ago
• raphaelvallat / pingouin
  Statistical package in Python based on Pandas
  ☆1,866Updated last week
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆621Updated 9 months ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆420Updated 2 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆660Updated last year
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,089Updated this week
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,420Updated last year
• shakedzy / dython
  A set of data tools in Python
  ☆511Updated this week
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,482Updated 6 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆642Updated last year
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation
  ☆1,452Updated 2 months ago