derrynknife

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.

3 good first / help-wanted issues · Python · last activity Sep 29, 2026

54 stars 8 forks 54 watchers Python MIT License
actuarial-science churn-prediction non-parametric parametric-distribution parametric-methods probability-plot reliability reliability-analysis reliability-engineering risk-analysis survival-analysis weibull
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3 Open Issues Need Help Last updated: Sep 29, 2026

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Papercuts from a second new-user session about 1 month ago
enhancement good first issue
derrynknife/SurPyval
54

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.

Python
#actuarial-science#churn-prediction#non-parametric#parametric-distribution#parametric-methods#probability-plot#reliability#reliability-analysis#reliability-engineering#risk-analysis#survival-analysis#weibull
Kaplan-Meier is 3× slower than lifelines at n=100k: greenwood_variance loops _snap in Python (vectorised version gives 4× speed-up, identical output) about 1 month ago
enhancement good first issue
derrynknife/SurPyval
54

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.

Python
#actuarial-science#churn-prediction#non-parametric#parametric-distribution#parametric-methods#probability-plot#reliability#reliability-analysis#reliability-engineering#risk-analysis#survival-analysis#weibull
Small API papercuts found while test-driving about 1 month ago
enhancement good first issue
derrynknife/SurPyval
54

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.

Python
#actuarial-science#churn-prediction#non-parametric#parametric-distribution#parametric-methods#probability-plot#reliability#reliability-analysis#reliability-engineering#risk-analysis#survival-analysis#weibull