This small library offers tools to make visualisation easier of both word embeddings as well as operations on them. It has support for spaCy prebuilt models as a first class citizen but also offers support for sense2vec. There's a convenient API to perform linear algebra as well as support for popular transformations like PCA/UMAP/etc.
from whatlies import EmbeddingSet
from whatlies.language import SpacyLanguage
lang = SpacyLanguage('en_core_web_md')
words = ['cat', 'dog', 'fish', 'kitten', 'man', 'woman', 'king', 'queen', 'doctor', 'nurse']
emb = lang[words]
emb.plot_interactive(x_axis='man', y_axis='woman')EXAMPLE