This release of pyLabFEA allows finite element analysis (FEA) of 2D models with arbitrary arrangements of elasto-plastic materials and flexible boundary conditions. Machine Learning (ML) flow rules for anisotropic plasticity can be trained either with data from micromechanical simulations or with reference materials. An interface to a UMAT is provided to allow embedding of the ML flow rules in more complex models with commercial FEA tools. Examples for the use of the pyLabFEA package are provided in form of Jupyter Notebooks and Python code.