RaRe Technologies

license

LGPL-2.1(GNU Lesser General Public License v2.1, OSI-approved)

source

public(github.com/piskvorky/gensim)

core features withheld

no — funded by sponsorship

Gensim is under the LGPL 2.1, an OSI-approved copyleft license that binds only redistribution, and builds from the public repository, now under its author's account. Commercial support is offered through sponsorship, and no edition is sold. New features are no longer accepted. LGPL-2.1 is OSI-approved, so the license tier is osi.

• https://pypi.org/pypi/gensim/json recorded 2026-09-27

  PyPI record for gensim 4.4.0, uploaded 2025-10-18, license "LGPL-2.1-only".

• https://raw.githubusercontent.com/piskvorky/gensim/develop/COPYING recorded 2026-09-27

  COPYING is the "GNU LESSER GENERAL PUBLIC LICENSE Version 2.1, February 1999".

• https://raw.githubusercontent.com/piskvorky/gensim/develop/README.md recorded 2026-09-27

  README: "Gensim is in stable maintenance mode: we are not accepting new features, but bug and documentation fixes are still welcome!"; "For commercial support, please see Gensim sponsorship."

• https://ungh.cc/repos/piskvorky/gensim/files/develop recorded 2026-09-27

  Repository tree of 852 paths with no ee, enterprise, commercial or pro directory.

• https://ungh.cc/repos/RaRe-Technologies/gensim recorded 2026-09-27

  The RaRe-Technologies/gensim record resolves to piskvorky/gensim, the canonical repository.

Measured on monthly PyPI downloads of the gensim package.

• https://pypistats.org/api/packages/gensim/recent recorded 2026-09-27

  last_month 2,857,631 downloads of gensim

Gensim is a toolkit of several text-modeling methods and the tools to train and compare them on the user's own corpus, in the way NLTK is for classical NLP. Its pretrained vectors are third-party downloads, and choosing and tuning a model stays with the user.

• https://radimrehurek.com/gensim/apiref.html recorded 2026-09-27

  API reference lists models including LdaModel, LsiModel, HdpModel, Nmf, Word2Vec, Doc2Vec and FastText, and the similarities modules.

• https://raw.githubusercontent.com/piskvorky/gensim/develop/README.md recorded 2026-09-27

  README: "Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora."