PyCast S2S is a collection of tools for the post-processing of seasonal hydrometeorological forecasts. In particular, PyCast makes it possible to subdivide and reorganize raw forecasts, perform statistical bias corrections and calculate forecast measures and climate indicators. Due to its modular architecture and the integration of Dask for parallel computing, PyCast can be integrated into operational workflows on various computing environments, from small laptops to large HPC systems.