Cellular Agent-based Modeling from a Clean Slate

cellular_raza is a cellular agent-based modeling framework which allows researchers to construct models from a clean slate. In contrast to other agent-based modelling toolkits, it is free of assumptions about the underlying cellular representation. This enables researchers to build up complex models while retaining full control over every parameter and behaviour introduced.

Selected Showcases

Soft Bacterial Rods

A mechanical model of elongated bacteria such as E.Coli growing inside a narrow box.

Bacterial Branching Patterns

A growth model of Bacillus Subtilis which forms spatial patterns.

Selected Benchmarks

Accuracy Testing of Contact Reactions

We compare the solvers of cellular_raza with analytical results with estimates for the local and global truncation error.

Multithreading Performance of the Cell Sorting Example (Amdahl's Law)

We analyze scaling with multiple threads using the chili backend and the cell-sorting simulation.

Talk at Scientific Computing in Rust

Cite Us

Pleyer, J. and C. Fleck, (2025) “cellular_raza: Cellular Agent-based Modeling from a Clean Slate” Journal of Open Source Software, June 10th, 2025. doi: joss.theoj.org/papers/10.21105/joss.07723.

@article{Pleyer2025,
    doi = {10.21105/joss.07723},
    url = {https://doi.org/10.21105/joss.07723},
    year = {2025},
    publisher = {The Open Journal},
    volume = {10},
    number = {110},
    pages = {7723},
    author = {Jonas Pleyer and Christian Fleck},
    title = {cellular\_raza: Cellular Agent-based Modeling from a Clean Slate},
    journal = {Journal of Open Source Software}
}

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