Scikit-Survival
Survival analysis built on top of scikit-learn for Python.
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is Scikit-Survival?
scikit-survival is a Python module that extends the capabilities of scikit-learn to include survival analysis, allowing users to perform advanced statistical analyses while leveraging familiar machine learning workflows and tools.
Key differentiator
“Scikit-Survival stands out by providing specialized survival analysis capabilities directly within the popular scikit-learn framework, offering seamless integration with existing machine learning pipelines.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Researchers needing to perform survival analysis within a familiar scikit-learn framework
Projects requiring integration with existing scikit-learn workflows for preprocessing and validation
✕ Not a fit for
Developers looking for a cloud-based service for survival analysis
Teams preferring proprietary software over open-source solutions
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Next step
Get Started with Scikit-Survival
Step-by-step setup guide with code examples and common gotchas.