As part of evolutionary algorithm (EA) research, it is often necessary to observe the behaviour of an EA over a range of parameters in order to find a suitable configuration or in order to compare different EAs. That is a massively parallel problem.
The Multijob software assists in this workflow with generating the necessary job definitions. It also contains libraries for Python, C++, and Go to decode the job definitions, which allows the EAs to be be implemented in any of these languages.
During this project, I familiarized myself with a Python toolchain (packaging, dependency management, testing, and documentation). This experience came in very handy when I took over maintenance of the gcovr project.