Survival Analysis Python Packages

lifelines

Survival analysis in Python

reliability

Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

scikit-survival

Survival analysis built on top of scikit-learn

skpro

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

pycox

Survival analysis with PyTorch

xgbse

Improving XGBoost survival analysis with embeddings and debiased estimators

surpyval

A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.

torchsurv

Deep survival analysis made easy

crforest

Python toolkit for competing risks: forest (RSF) today; Fine-Gray + Aalen-Johansen + Gray's test + cause-specific Cox in v0.4. Scales to n=10⁶ in ~1 min, 10–22× faster than randomForestSRC on real EHR data, sklearn-compatible.

survivaleval

The most comprehensive Python package for evaluating survival analysis models.

orange3-survival-analysis

Survival Analysis add-on for Orange data mining software package.

predictr

Weibull Analysis Tools

fracability

Analyse fracture networks for digitalized rock outcrops.

comprisk

Python toolkit for competing risks: forest (RSF) today; Fine-Gray + Aalen-Johansen + Gray's test + cause-specific Cox in v0.4. Scales to n=10⁶ in ~1 min, 10–22× faster than randomForestSRC on real EHR data, sklearn-compatible.

bess

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

survshap

SurvSHAP(t): Time-dependent explanations of machine learning survival models

survival-datasets

Common datasets in survival analysis.

random-survival-forest

A Random Survival Forest implementation inspired by Ishwaran et al.

fife

Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting

kaplanmeier

kaplanmeier is an python library to create survival curves using kaplan-meier, and compute the log-rank test.

hazardous

Competing Risks and Survival Analysis

deepsurvk

Implementation of DeepSurv using Keras

crisp-nam

An intepretable model for survival prediction in competing risks settings. Checkout our blog!! https://vectorinstitute.github.io/crisp-nam/blog/

insurance-survival

Survival models for insurance — cure models, CLV, lapse tables, MLflow wrapper