The Convex Optimization Algorithms Library (COAL) provides a flexible algorithmic framework written in C++, that connects solvers, relying on certain generic properties of a mathematical problem, such as differentiability, linearity, specific constraint forms etc., to applications, whose models exhibit these properties.