--- source_url: "https://en.wikipedia.org/wiki/Gensim?utm_source=openai" title: Gensim - Wikipedia mirrored_at: 2026-08-08T15:39:01.443Z host: en.wikipedia.org cited_in_42a: true mirror_canonical: "https://index.42a.ai/en.wikipedia.org/wiki/Gensim__q__utm_source_openai" --- > **Original source:** https://en.wikipedia.org/wiki/Gensim?utm_source=openai From Wikipedia, the free encyclopedia Gensim [Original author](https://en.wikipedia.org/wiki/Programmer "Programmer") Radim Řehůřek [Developer](https://en.wikipedia.org/wiki/Programmer "Programmer") Radim Řehůřek Release 2009 [Stable release](https://en.wikipedia.org/wiki/Software_release_life_cycle "Software release life cycle") 4.4.0[\[1\]](#cite_note-wikidata-78de5d9c4a14ef888ce879d2fca2473717716a24-v20-1) / 16 October 2025; 9 months ago Written in [Python](https://en.wikipedia.org/wiki/Python_\(programming_language\) "Python (programming language)") [Operating system](https://en.wikipedia.org/wiki/Operating_system "Operating system") [Linux](https://en.wikipedia.org/wiki/Linux "Linux"), [Windows](https://en.wikipedia.org/wiki/Microsoft_Windows "Microsoft Windows"), [macOS](https://en.wikipedia.org/wiki/MacOS "MacOS") [Type](https://en.wikipedia.org/wiki/Software_categories#Categorization_approaches "Software categories") [Information retrieval](https://en.wikipedia.org/wiki/Information_retrieval "Information retrieval") [License](https://en.wikipedia.org/wiki/Software_license "Software license") [LGPL](https://en.wikipedia.org/wiki/GNU_Lesser_General_Public_License "GNU Lesser General Public License") Website [radimrehurek.com/gensim/](https://radimrehurek.com/gensim/) [Repository](https://en.wikipedia.org/wiki/Repository_\(version_control\) "Repository (version control)") [github.com/piskvorky/gensim](https://github.com/piskvorky/gensim) **Gensim** is an [open-source](https://en.wikipedia.org/wiki/Open-source_software "Open-source software") library for unsupervised [topic modeling](https://en.wikipedia.org/wiki/Topic_model "Topic model"), [document indexing](https://en.wikipedia.org/wiki/Information_retrieval "Information retrieval"), retrieval by similarity, and other [natural language processing](https://en.wikipedia.org/wiki/Natural_language_processing "Natural language processing") functionalities, using modern statistical [machine learning](https://en.wikipedia.org/wiki/Machine_learning "Machine learning"). Gensim is implemented in [Python](https://en.wikipedia.org/wiki/Python_\(programming_language\) "Python (programming language)") and [Cython](https://en.wikipedia.org/wiki/Cython "Cython") for performance. Gensim is designed to handle large text collections using data streaming and incremental online algorithms, which differentiates it from most other machine learning software packages that target only in-memory processing. Gensim includes streamed parallelized implementations of [fastText](https://en.wikipedia.org/wiki/FastText "FastText"),[\[2\]](#cite_note-2) [word2vec](https://en.wikipedia.org/wiki/Word2vec "Word2vec") and doc2vec algorithms,[\[3\]](#cite_note-3) as well as [latent semantic analysis](https://en.wikipedia.org/wiki/Latent_semantic_analysis "Latent semantic analysis") (LSA, LSI, SVD), [non-negative matrix factorization](https://en.wikipedia.org/wiki/Non-negative_matrix_factorization "Non-negative matrix factorization") (NMF), [latent Dirichlet allocation](https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation "Latent Dirichlet allocation") (LDA), [tf-idf](https://en.wikipedia.org/wiki/Tf-idf "Tf-idf") and [random projections](https://en.wikipedia.org/wiki/Locality-sensitive_hashing "Locality-sensitive hashing").[\[4\]](#cite_note-4) Some of the novel online algorithms in Gensim were also published in the 2011 PhD dissertation _Scalability of Semantic Analysis in Natural Language Processing_ of Radim Řehůřek, the creator of Gensim.[\[5\]](#cite_note-5) Gensim library has been used and cited in over 1400 commercial and academic applications as of 2018,[\[6\]](#cite_note-6) in a diverse array of disciplines from medicine to insurance claim analysis to patent search.[\[7\]](#cite_note-7) The software has been covered in several new articles, podcasts and interviews.[\[8\]](#cite_note-8)[\[9\]](#cite_note-9)[\[10\]](#cite_note-10) ## Free and commercial support \[[edit](https://en.wikipedia.org/w/index.php?title=Gensim&action=edit§ion=3 "Edit section: Free and commercial support")\] The open source code is developed and hosted on [GitHub](https://en.wikipedia.org/wiki/GitHub "GitHub")[\[11\]](#cite_note-11) and a public support forum is maintained on [Google Groups](https://en.wikipedia.org/wiki/Google_Groups "Google Groups")[\[12\]](#cite_note-12) and [Gitter](https://en.wikipedia.org/wiki/Gitter "Gitter").[\[13\]](#cite_note-13) - [Comparison of machine learning software](https://en.wikipedia.org/wiki/Comparison_of_machine_learning_software "Comparison of machine learning software") - [Natural Language Toolkit](https://en.wikipedia.org/wiki/Natural_Language_Toolkit "Natural Language Toolkit") - [SpaCy](https://en.wikipedia.org/wiki/SpaCy "SpaCy") 1. [↑](#cite_ref-wikidata-78de5d9c4a14ef888ce879d2fca2473717716a24-v20_1-0) ["Release 4.4.0"](https://github.com/piskvorky/gensim/releases/tag/4.4.0). 16 October 2025. Retrieved 20 October 2025. 2. [↑](#cite_ref-2) [Scalable \*2vec training](https://github.com/piskvorky/gensim/blob/develop/docs/notebooks/Any2Vec_Filebased.ipynb) 3. [↑](#cite_ref-3) [Deep learning with word2vec and Gensim](http://radimrehurek.com/2013/09/deep-learning-with-word2vec-and-gensim/) 4. [↑](#cite_ref-4) Radim Řehůřek and Petr Sojka (2010). [Software framework for topic modelling with large corpora](http://is.muni.cz/publication/884893/en). Proc. LREC Workshop on New Challenges for NLP Frameworks 5. [↑](#cite_ref-5) Řehůřek, Radim (2011). ["Scalability of Semantic Analysis in Natural Language Processing"](http://radimrehurek.com/phd_rehurek.pdf) (PDF). Retrieved 27 January 2015. my open-source _gensim_ software package that accompanies this thesis 6. [↑](#cite_ref-6) [Gensim academic citations](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=9vG_kV0AAAAJ&citation_for_view=9vG_kV0AAAAJ:NaGl4SEjCO4C) 7. [↑](#cite_ref-7) [Commercial adopters of Gensim](https://github.com/piskvorky/gensim#adopters) 8. [↑](#cite_ref-8) [Podcast.\_\_init\_\_ episode #71 on Gensim](https://www.podcastinit.com/episode-71-gensim-with-radim-rehurek/) 9. [↑](#cite_ref-9) [Interview with Radim Řehůřek, creator of Gensim](http://williamjohnbert.com/2012/04/interview-with-radim-rehurek-creator-of-gensim/) 10. [↑](#cite_ref-10) ["DecisionStats Interview Radim Řehůřek Gensim #python"](http://decisionstats.com/2015/12/07/decisionstats-interview-radim-rehurek-gensim-python/). 8 December 2015. 11. [↑](#cite_ref-11) [Gensim source code on Github](https://github.com/piskvorky/gensim) 12. [↑](#cite_ref-12) [Gensim mailing list on Google Groups](https://groups.google.com/group/gensim) 13. [↑](#cite_ref-13) [Gensim chat room on Gitter](https://gitter.im/piskvorky/gensim) - [Official website](https://radimrehurek.com/gensim/)