Julia is primarily considered to be a "scientific programming language". Quite often, what starts out as "scientific programming" ends up in products meant to be consumed by others. When this happens, these pieces of software end up in "applications", typically with a UI of some sort. This BoF is for those that build these applications, to learn from others, and to discuss what can be done to move the ecosystem forward.

As an alternative code-hosting/project management platform, GitLab is not as well supported within the Julia community. This talk presents a GitLab CI process for Julia aiming to change this, making it easier for those using GitLab as their preferred platform to build and ship Julia-based software.

ValueConstraints.jl provides a framework for declaratively expressing constraints on values, e.g. "minimum", "maximum", "needs to be within this set", etc. along with a small standard library of common constraints. It is fast, i.e. on par with using regular function calls, provides friendly error messages and warnings, and, perhaps most importantly, can serve as a foundation for the creation of schemas.