py-lifelines (spack): 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.). *lifelines* is a pure Python implementation of the best parts of survival analysis. 
Keywords: cox-regression|data-science|maximum-likelihood|python|reliability-analysis|statistics|survival-analysis