simuPOP

simuPOP is a cool Python-based software that lets you simulate different ideas about how populations evolve. Since Python is super flexible and object-oriented, it's perfect for biology simulations and can be used for all sorts of applications.

General Purpose Simulations

This software is great for running general-purpose simulations, which means you can mimic evolutionary processes however you want. It gives you control over a ton of variables, like mating schemes, chromosome types, mutations, recombination, migration, and size changes—just to name a few!

Powerful Operators

The app includes more than 70 operators that cover almost everything you'd need for genetic studies. These operators are Python objects that work with specific populations and can be used before, during, or after a life cycle. Some examples are k-allele models and context-sensitive mutation models. You’ll also find options for gene conversion models and even multi-locus models!

Advanced Core Features

The best part? The core of the program is built in C++, which supports big-time simulations. Plus, with its interactive interface, you can create custom genetic effects using Python and explore various evolution processes in detail.

Scalability Options

What's really neat is that the only limit on the maximum population size in your simulation depends on your computer’s RAM, number of cores, and processor speed. So yes, if your specs are high enough, you can run some seriously scalable simulations with simuPOP.