MUSE provides state-of-the-art multilingual word embeddings by aligning fastText representations in a common space. It offers two approaches: a supervised method using bilingual dictionaries or identical character strings, and an unsupervised method requiring no parallel data. The library includes evaluation datasets for bilingual dictionaries, monolingual and cross-lingual word similarity tasks, and sentence translation retrieval.