Epipy – Python tools for epidemiology
Epipy – Python tools for epidemiology launched on February 5, 2014 with 28 votes, #529 of 1,100 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 12 years on.
In plain words
Epipy is a Python package that provides tools for analyzing and visualizing epidemiology data. It is designed for researchers and analysts working with disease outbreak information and public health statistics. The package integrates with seaborn for improved visualization aesthetics, though this dependency is optional. Users can access the source code on GitHub and report issues or contribute improvements through the project repository.
written from the facts on this page · September 2026
From the sources
Epipy is a Python package for epidemiology. It contains tools for analyzing and visualizing epidemiology data. To check out the code, report a bug, or contribute features, visit github , or visit me on twitter . Note that I use the package seaborn to produce the nice plot aesthetics you see in my examples. Using seaborn is optional, but I highly recommendfrom cmrivers.github.io
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