Alternatives and similar repositories for scikit-survival

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

• CamDavidsonPilon / lifelines
  Survival analysis in Python
  ☆2,525Updated last year
• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆366Updated last year
• havakv / pycox
  Survival analysis with PyTorch
  ☆940Updated 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
  ☆934Updated this week
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆351Updated last year
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• jaredleekatzman / DeepSurv
  DeepSurv is a deep learning approach to survival analysis.
  ☆665Updated 5 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 8 months ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,810Updated 2 weeks ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,372Updated this week
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,599Updated 3 weeks ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆398Updated last month
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,279Updated 2 years ago
• MaxHalford / prince
  Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
  ☆1,416Updated last month
• 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
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆641Updated last year
• ModelOriented / DALEX
  moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021)
  ☆1,451Updated last month
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆651Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆659Updated 10 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,548Updated 2 weeks ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆799Updated 8 months ago
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• maximtrp / scikit-posthocs
  Multiple Pairwise Comparisons (Post Hoc) Tests in Python
  ☆376Updated 2 months ago
• shakedzy / dython
  A set of data tools in Python
  ☆508Updated 2 weeks ago
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆616Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆495Updated last year
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,072Updated last week
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆546Updated 2 years ago