Skip to main content
Help us improve Python packaging – donate today!

Python framework for fast Vector Space Modelling

Project Description

Gensim 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.

Features

  • All algorithms are memory-independent w.r.t. the corpus size (can process input larger than RAM),
  • Intuitive interfaces
    • easy to plug in your own input corpus/datastream (trivial streaming API)
    • easy to extend with other Vector Space algorithms (trivial transformation API)
  • Efficient implementations of popular algorithms, such as online Latent Semantic Analysis, Latent Dirichlet Allocation or Random Projections
  • Distributed computing: can run Latent Semantic Analysis and Latent Dirichlet Allocation on a cluster of computers.
  • Extensive HTML documentation and tutorials.

If this feature list left you scratching your head, you can first read more about the Vector Space Model and unsupervised document analysis on Wikipedia.

Installation

This software depends on NumPy and Scipy, two Python packages for scientific computing. You must have them installed prior to installing gensim.

It is also recommended you install a fast BLAS library prior to installing NumPy. This is optional, but using an optimized BLAS such as ATLAS or OpenBLAS is known to improve performance by as much as an order of magnitude.

The simple way to install gensim is:

sudo easy_install gensim

Or, if you have instead downloaded and unzipped the source tar.gz package, you’ll need to run:

python setup.py test
sudo python setup.py install

For alternative modes of installation (without root privileges, development installation, optional install features), see the documentation.

This version has been tested under Python 2.5, 2.6 and 2.7, and should run on any 2.5 <= Python < 3.0.

Documentation

Manual for the gensim package is available in HTML. It contains a walk-through of all its features and a complete reference section. It is also included in the source distribution package.


Gensim is open source software, and has been released under the GNU LGPL license. Copyright (c) 2009-2013 Radim Rehurek

Release history Release notifications

History Node

3.4.0

History Node

3.3.0

History Node

3.2.0

History Node

3.1.0

History Node

3.0.1

History Node

3.0.0

History Node

2.3.0

History Node

2.2.0

History Node

2.1.0

History Node

2.0.0

History Node

1.0.1

History Node

1.0.0

History Node

1.0.0rc2

History Node

1.0.0rc1

History Node

0.13.4.1

History Node

0.13.4

History Node

0.13.3

History Node

0.13.2

History Node

0.13.1

History Node

0.13.0

History Node

0.13.0rc1

History Node

0.12.4

History Node

0.12.3

History Node

0.12.3rc1

History Node

0.12.2

History Node

0.12.1

History Node

0.12.1rc1

History Node

0.12.0

History Node

0.12.0rc1

History Node

0.11.1-1

History Node

0.11.1

History Node

0.10.3

History Node

0.10.2

History Node

0.10.1

History Node

0.10.0

History Node

0.10.0rc1

History Node

0.9.1

History Node

0.9.0

History Node

0.8.9

History Node

0.8.8

History Node

0.8.7

This version
History Node

0.8.6

History Node

0.8.5

History Node

0.8.4

History Node

0.8.3

History Node

0.8.2

History Node

0.8.1

History Node

0.8.0

History Node

0.8.0rc1

History Node

0.7.8

History Node

0.7.7

History Node

0.7.6

History Node

0.7.5

History Node

0.7.4

History Node

0.7.3

History Node

0.7.2

History Node

0.7.1

History Node

0.7.0

History Node

0.7.0rc2

History Node

0.6.0

History Node

0.5.0

History Node

0.4.7

History Node

0.4.6

History Node

0.4.5

History Node

0.4.4

History Node

0.4.3

History Node

0.4.2

History Node

0.4.1

History Node

0.4

History Node

0.3.0

History Node

0.2

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
gensim-0.8.6-py2.7.egg (2.2 MB) Copy SHA256 hash SHA256 Egg 2.7 Sep 15, 2012
gensim-0.8.6.tar.gz (2.3 MB) Copy SHA256 hash SHA256 Source None Sep 15, 2012

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page