BayesShip
A software package in C++ and Python that explores parameter and model spaces through Markov Chain Monte Carlo algorithms
Almost all modern fields of physics and astrophysics revolve around extracting information from noisy and/or large data sets. A popular method of extracting this information is through direct sampling, from algorithms like Markov chain Monte Carlo (MCMC) and Reversible Jump MCMC (RJMCMC). This type of analysis was foundational in my dissertation, in which I applied these techniques to gravitational wave data.
The power of these techniques became very apparent, and I generalized my software to a broader class of problems.