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
  ☆365Updated last year
• CamDavidsonPilon / lifelines
  Survival analysis in Python
  ☆2,511Updated 11 months ago
• havakv / pycox
  Survival analysis with PyTorch
  ☆933Updated last year
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,590Updated last month
• dswah / pyGAM
  [CONTRIBUTORS WELCOME] Generalized Additive Models in Python
  ☆920Updated 2 weeks ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆346Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆391Updated last week
• MaxHalford / prince
  Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
  ☆1,405Updated 2 months ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,365Updated this week
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆647Updated last year
• jaredleekatzman / DeepSurv
  DeepSurv is a deep learning approach to survival analysis.
  ☆660Updated 5 years ago
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,276Updated 2 years ago
• shakedzy / dython
  A set of data tools in Python
  ☆506Updated 2 weeks ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 7 months ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆654Updated 9 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆635Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆795Updated 6 months ago
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆614Updated 11 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,505Updated 2 months ago
• arvkevi / kneed
  Knee point detection in Python
  ☆790Updated 2 weeks ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,466Updated 4 months ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,051Updated this week
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,483Updated this week
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,143Updated last month
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆494Updated last month