  Antimony is a high-level, human-readable text-based language designed for
defining and sharing models in the systems biology community. It enables
scientists to describe biochemical networks and systems using a simple and
intuitive syntax. It allows users to easily create, modify, and distribute
reproducible computational models. By allowing the concise representation of
complex biological processes, Antimony enhances collaborative efforts, improves
reproducibility, and accelerates the iterative development of models in systems
biology. This paper provides an update to the Antimony language since it was
introduced in 2009. In particular, we highlight new annotation features,
support for flux balance analysis, a new rateOf method, support for probability
distributions and uncertainty, named stochiometries, and algebraic rules.
Antimony is also now distributed as a C/C++ library, together with python and
Julia bindings, as well as a JavaScript version for use within a web browser.
Availability: https://github.com/sys-bio/antimony.
