Survival Analysis Python Packages

lifelines

Survival analysis in Python

2.8M 3K 566

reliability

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

930K 421 85

scikit-survival

Survival analysis built on top of scikit-learn

330K 1K 224

skpro

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

212K 323 184

pycox

Survival analysis with PyTorch

21K 973 206

xgbse

Improving XGBoost survival analysis with embeddings and debiased estimators

19K 341 53

torchsurv

Deep survival analysis made easy

9K 200 15

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.

8K 52 6

predictr

Weibull Analysis Tools

2K 28 7

survivaleval

The most comprehensive Python package for evaluating survival analysis models.

2K 50 7

orange3-survival-analysis

🍊 :heavy_plus_sign: Survival Analysis add-on for Orange3 data mining suite.

2K 3 3

crforest

Competing-risks random survival forests for Python. 10-22× faster than rfSRC on real EHR data, scales to n=10⁶ in ~1 min, sklearn-compatible.

2K 4 0

crisp-nam

CRISP-NAM: Competing Risks Interpretable Survival Prediction with Neural Additive Models

1K 3 0

fracability

Python toolbox to analyse fracture networks for digitalized rock outcrops.

1K 14 3

bess

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

959 17 2

random-survival-forest

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

956 65 9

kaplanmeier

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

732 37 11

insurance-survival

Survival analysis for UK insurance pricing: cure models, competing risks, recurrent events, CLV, lapse tables, coherent cause-specific mortality, proper scoring rules. Extends lifelines with insurance-specific gaps.

712 0 0