LIFELINES is a pure Python library for survival analysis, a statistical field focused on modeling time until an event occurs. It can be used for traditional cases like medical survival time, but also for business and product questions such as churn, subscription length, equipment failure, and customer retention. The library includes estimators such as Kaplan-Meier, Nelson-Aalen, and regression-based survival models. It is designed to be accessible to Python users and works well with common scientific computing workflows. Built-in plotting methods and datasets help users explore survival curves and compare groups visually. It is a practical tool for analysts, researchers, and data scientists who need event-time modeling without leaving Python.

Features

  • Pure Python survival analysis
  • Kaplan-Meier estimator support
  • Nelson-Aalen estimator support
  • Regression survival models
  • Built-in plotting utilities
  • Example datasets and documentation

Project Samples

Project Activity

See All Activity >

Categories

Data Science

License

MIT License

Follow LIFELINES

LIFELINES Web Site

Other Useful Business Software
Gemini 3 and 200+ AI Models on One Platform Icon
Gemini 3 and 200+ AI Models on One Platform

Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

Build, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of LIFELINES!

Additional Project Details

Programming Language

Python

Related Categories

Python Data Science Tool

Registered

2 days ago