SuPar provides implementations of neural network-based parsers for syntactic and semantic NLP tasks including dependency parsing, constituency parsing, and semantic dependency parsing. It includes biaffine parsers, CRF-based models, and semi-Markov CRFs with parallelized structured prediction algorithms. The package offers pretrained models for over 19 languages and builds on PyTorch and Transformers.