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Gensim

A Python library for finding topics and similar documents in large collections of text.

What it does

Gensim finds the main themes in a large set of documents ("topic modelling") and finds texts with similar meaning. It also includes word2vec, a well-known method for representing word meanings as numbers.

It is designed to handle collections bigger than a computer's memory. The README says it is in stable maintenance mode: bug fixes are welcome but no new features are added.

Who it's for

Researchers and developers working with large amounts of text.

Can I use it without coding?

Developers only. A Python library that needs programming. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (LGPL-2.1): Read the license on the GitHub page before using it for business.
  • More on staying safe

Where people are talking about it