Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.

PyRoss: inference, forecasts, and optimised control of epidemiological models in Python. github.com/rajeshrinet/pyross

CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.

COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions

Simulate a pandemic with artificial life objects.

An interactive inspired by 3Blue1Brown's 'Simulating an Epidemic' video.

Epidemic simulation for MATSim

A HTML/JavaScript simulator for an epidemc on a population

A crude simulation of an epidemic in Python with pygame visualization

Javascript implementation of an epidemic SIR model

A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.

distributed pandemics simulator, uses the power of spark to generate huge bulks of contact-tracing data.

Stochastic SIR models; adding age-structures and social contact data for the spread of covid-19. Lattice model for identifying and isolating hotspots. This has been further developed into a network(graph) of multiple clusters(lattices) and tracing the infection in such a population.

Episimmer is an Epidemic Simulation Framework for Decision Support. It is a highly flexible system that can be easily configured to help take decisions during an epidemic in closed communities like university campuses and gated communities.

Compartmental Epidemic Models in Python

A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests and viral simulations at scale. Related manuscripts: https://doi.org/10.1111/2041-210X.14168 and https://doi.org/10.1038/s41467-025-60988-8

MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling

Library for epidemics on hypergraphs

German Epidemic Microsimulation System developed in the OptimAgent-Project.

Based on Simulating an Epidemic by 3Blue1Brown, this interactive simulation lets the user explore their ideas experimentally and quantitatively in a limited fashion, and to understand the drastic effects minor changes in behaviour can have in our fight against any disease.