textacy is a Python library for performing higher-level natural language processing (NLP) tasks, built on the high-performance Spacy library. With the basics — tokenization, part-of-speech tagging, parsing — offloaded to another library, textacy focuses on tasks facilitated by the availability of tokenized, POS-tagged, and parsed text: keyterm extraction, readability statistics, emotional valence analysis, quotation attribution, and more.