lifelines

What it is

Lifelines is a comprehensive survival analysis library written entirely in Python. It provides tools for estimating and plotting survival functions, hazard rates, and more.

Lifelines stands out with its comprehensive set of tools and models specifically tailored for survival analysis in pure Python.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited support for advanced survival analysis techniques

   Does not include complex models like joint frailty models or multi-state models out-of-the-box

2. 02

   Poor documentation for certain features and methods

   Some advanced functionalities lack detailed examples or explanations in the official documentation

3. 03

   Performance issues with large datasets

   Estimation of survival functions can be slow and memory-intensive when dealing with very large datasets

4. 04

   Limited integration options with other data science tools

   Does not natively integrate well with popular Python libraries such as pandas or scikit-learn for seamless workflow

What it does well

• Estimation of survival and hazard functions

• Cox proportional hazards model

• Aalen additive model

• Kaplan-Meier estimator

• Nelson-Aalen estimator

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.