Gensim vs Thematic: What are the differences?
Gensim: A python library for Topic Modelling. It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community; Thematic: Customer Feedback Analysis via NLP. The fastest and most reliable way for finding deep insights in NPS, CSAT, user research surveys and chat logs.
Gensim and Thematic belong to "NLP / Sentiment Analysis" category of the tech stack.
Gensim is an open source tool with 9.65K GitHub stars and 3.52K GitHub forks. Here's a link to Gensim's open source repository on GitHub.