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Survival Analysis Python Packages

Python packages with the GitHub topic survival-analysis. Sorted by relevance, with stars and monthly downloads.
CamDavidsonPilon
lifelines

Survival analysis in Python

2.5M 3K 566
MatthewReid854
reliability

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

938K 423 85
sebp
scikit-survival

Survival analysis built on top of scikit-learn

321K 1K 224
sktime
skpro

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

209K 324 184
havakv
pycox

Survival analysis with PyTorch

21K 977 206
loft-br
xgbse

Improving XGBoost survival analysis with embeddings and debiased estimators

18K 341 53
derrynknife
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
Novartis
torchsurv

Deep survival analysis made easy

6K 203 16
sunnyadn
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.

2K 4 0
shi-ang
survivaleval

The most comprehensive Python package for evaluating survival analysis models.

2K 51 7
biolab
orange3-survival-analysis

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

2K 3 3
tvtoglu
predictr

Weibull Analysis Tools

2K 28 7
gecos-lab
fracability

Analyse fracture networks for digitalized rock outcrops.

1K 14 3
sunnyadn
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.

1K 4 0
Mamba413
bess

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

979 17 2
MI2DataLab
survshap

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

818 97 16
thecml
survival-datasets

Common datasets in survival analysis.

721 6 2
julianspaeth
random-survival-forest

A Random Survival Forest implementation inspired by Ishwaran et al.

709 65 9
IDA-HumanCapital
fife

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

513 23 5
erdogant
kaplanmeier

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

485 37 11
soda-inria
hazardous

Competing Risks and Survival Analysis

413 117 21
arturomoncadatorres
deepsurvk

Implementation of DeepSurv using Keras

413 51 17
VectorInstitute
crisp-nam

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

386 3 0
burning-cost
insurance-survival

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

357 0 0
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