Starsim

Note: Starsim v4 is now available. It's quite different from v3, with a new and simpler syntax for creating diseases, and support for compartmental and geospatial models. Models written for v3 will need to be migrated; see the changelog for details, or contact us for help. To continue using Starsim v3, use pip install starsim<4; the v3 docs are also still available. But really, please upgrade to v4! You'll be glad you did!

Starsim is a fast, flexible disease modeling framework, from compartments to agents. It supports modeling multiple co-transmitting diseases, including infectious and non-infectious diseases plus other health states (such as pregnancy and birth), and captures their biological and behavioral interactions. It lets users compare intervention strategies, such as vaccines or treatments, across delivery methods like mass campaigns or targeted outreach. It also includes built-in tools for scenario analyses and calibrating models to real-world data.

Starsim builds on our previous suite of disease-specific models, including Covasim and HPVsim, as well as many other disease modeling frameworks (see below). It can model different levels of detail, including agent-based, metapopulation, and deterministic or stochastic compartmental modeling. It is designed to be simple and fast enough to enable rapid or exploratory analyses (from project start to calibrated model and scenario analyses in hours to days), while also being flexible enough to support complex, long-term research projects (such as intrahost immunity, data-driven spatial network transmission, and health economics optimization).

For more information, see the documentation or the code. For Starsim for R, see r.starsim.org. For Starsim's AI tools, see ai.starsim.org.

Starsim features

Starsim includes an extensive library of features aimed to support a broad diversity of disease modeling needs. The full set is covered in the documentation. Because the features are modular and written in Python, you can mix-and-match Starsim features with custom-written code, and you only use what you need. Highlights include:

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