lifelines · PyPI

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What is survival analysis and why should I learn it? Survival analysis was originally developed and applied heavily by the actuarial and medical community. Its purpose was to answer why do events occur now versus later under uncertainty (where events might refer to deaths, disease remission, etc.). This is great for researchers who are interested in measuring lifetimes: they can answer questions like what factors might influence deaths?

But outside of medicine and actuarial science, there are many other interesting and exciting applications of survival analysis. For example:

SaaS providers are interested in measuring subscriber lifetimes, or time to some first action
inventory stock out is a censoring event for true "demand" of a good.
sociologists are interested in measuring political parties' lifetimes, or relationships, or marriages
A/B tests to determine how long it takes different groups to perform an action.

lifelines is a pure Python implementation of the best parts of survival analysis.

Documentation and intro to survival analysis

If you are new to survival analysis, wondering why it is useful, or are interested in lifelines examples, API, and syntax, please read the Documentation and Tutorials page

Contact

Start a conversation in our Discussions room.
Some users have posted common questions at stats.stackexchange.com.
Creating an issue in the Github repository.

Development

See our Contributing guidelines.

Metadata

Release files for lifelines 0.30.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lifelines 0.30.3
File	Size	Uploaded
lifelines-0.30.3.tar.gz	690.7 kB	Mar 5, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for lifelines 0.30.3
File	Interpreter	ABI	Platform	Reset
lifelines-0.30.3-py3-none-any.whl 409.1 kB Mar 5, 2026	Python 3	none	any	Details

Total release size: 1.1 MB

Release files / lifelines-0.30.3.tar.gz

Download URL	lifelines-0.30.3.tar.gz
Size	690.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`acd1e0ecada4280c7bb2948f39c760a0f9158a57d752c8ca29f984a86c698b7f`
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Upload date	Mar 5, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.14.0`

Release files / lifelines-0.30.3-py3-none-any.whl

Download URL	lifelines-0.30.3-py3-none-any.whl
Size	409.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`44802480a28d6cb836c7fea4a54ec0ba220eb31c6d7444589637a8bd66066e8c`
BLAKE2b-256 checksum How to use checksums	`8afb5ed80a8932630d4ae33af186a87008c9b48f02bc515380acc1a4b1fec162`
Upload date	Mar 5, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.14.0`

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