gensim

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, streamed, out-of-core),
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 multicore implementations of popular algorithms, such as online Latent Semantic Analysis (LSA/LSI/SVD), Latent Dirichlet Allocation (LDA), Random Projections (RP), Hierarchical Dirichlet Process (HDP) or word2vec deep learning.
Distributed computing: can run Latent Semantic Analysis and Latent Dirichlet Allocation on a cluster of computers.
Extensive documentation and Jupyter Notebook 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 before 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. On OS X, NumPy picks up the BLAS that comes with it automatically, so you don’t need to do anything special.

The simple way to install gensim is:

pip install -U gensim

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

python setup.py test
python setup.py install

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

This version has been tested under Python 2.7, 3.5 and 3.6. Support for Python 2.6, 3.3 and 3.4 was dropped in gensim 1.0.0. Install gensim 0.13.4 if you must use Python 2.6, 3.3 or 3.4. Support for Python 2.5 was dropped in gensim 0.10.0; install gensim 0.9.1 if you must use Python 2.5). Gensim’s github repo is hooked against Travis CI for automated testing on every commit push and pull request.

How come gensim is so fast and memory efficient? Isn’t it pure Python, and isn’t Python slow and greedy?

Many scientific algorithms can be expressed in terms of large matrix operations (see the BLAS note above). Gensim taps into these low-level BLAS libraries, by means of its dependency on NumPy. So while gensim-the-top-level-code is pure Python, it actually executes highly optimized Fortran/C under the hood, including multithreading (if your BLAS is so configured).

Memory-wise, gensim makes heavy use of Python’s built-in generators and iterators for streamed data processing. Memory efficiency was one of gensim’s design goals, and is a central feature of gensim, rather than something bolted on as an afterthought.

Documentation

Citing gensim

When citing gensim in academic papers and theses, please use this BibTeX entry:

@inproceedings{rehurek_lrec,
      title = {{Software Framework for Topic Modelling with Large Corpora}},
      author = {Radim {\v R}eh{\r u}{\v r}ek and Petr Sojka},
      booktitle = {{Proceedings of the LREC 2010 Workshop on New
           Challenges for NLP Frameworks}},
      pages = {45--50},
      year = 2010,
      month = May,
      day = 22,
      publisher = {ELRA},
      address = {Valletta, Malta},
      language={English}
}

Metadata

Release files for gensim 3.7.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gensim 3.7.0
File	Size	Uploaded
gensim-3.7.0.tar.gz	23.4 MB	Jan 18, 2019	Details

Built distributions (wheels)

Table of built distributions (wheels) for gensim 3.7.0
File	Interpreter	ABI	Platform	Reset
gensim-3.7.0.win-amd64-py3.5.exe 24.7 MB Jan 18, 2019				Details
gensim-3.7.0.win32-py3.7.exe 24.5 MB Jan 18, 2019				Details
gensim-3.7.0-cp37-cp37m-win_amd64.whl 24.1 MB Jan 18, 2019	CPython 3.7	CPython 3.7 pymalloc	Windows x86-64	Details
gensim-3.7.0-cp37-cp37m-win32.whl 24.1 MB Jan 18, 2019	CPython 3.7	CPython 3.7 pymalloc	Windows x86-32	Details
gensim-3.7.0-cp37-cp37m-manylinux1_x86_64.whl 24.2 MB Jan 18, 2019	CPython 3.7	CPython 3.7 pymalloc	Linux glibc 2.5+ x86-64	Details
gensim-3.7.0-cp37-cp37m-manylinux1_i686.whl 24.1 MB Jan 18, 2019	CPython 3.7	CPython 3.7 pymalloc	Linux glibc 2.5+ x86-32	Details
gensim-3.7.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 24.7 MB Jan 18, 2019	CPython 3.7	CPython 3.7 pymalloc	macOS 10.10+ x86-64, macOS 10.9+ x86-64, macOS 10.9+ Intel (x86-64, i386), macOS 10.10+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386)	Details
gensim-3.7.0-cp36-cp36m-win_amd64.whl 24.1 MB Jan 18, 2019	CPython 3.6	CPython 3.6 pymalloc	Windows x86-64	Details
gensim-3.7.0-cp36-cp36m-win32.whl 24.1 MB Jan 18, 2019	CPython 3.6	CPython 3.6 pymalloc	Windows x86-32	Details
gensim-3.7.0-cp36-cp36m-manylinux1_x86_64.whl 24.2 MB Jan 18, 2019	CPython 3.6	CPython 3.6 pymalloc	Linux glibc 2.5+ x86-64	Details
gensim-3.7.0-cp36-cp36m-manylinux1_i686.whl 24.1 MB Jan 18, 2019	CPython 3.6	CPython 3.6 pymalloc	Linux glibc 2.5+ x86-32	Details
gensim-3.7.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 24.7 MB Jan 18, 2019	CPython 3.6	CPython 3.6 pymalloc	macOS 10.9+ x86-64, macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ x86-64	Details
gensim-3.7.0-cp35-cp35m-win_amd64.whl 24.1 MB Jan 18, 2019	CPython 3.5	CPython 3.5 pymalloc	Windows x86-64	Details
gensim-3.7.0-cp35-cp35m-win32.whl 24.1 MB Jan 18, 2019	CPython 3.5	CPython 3.5 pymalloc	Windows x86-32	Details
gensim-3.7.0-cp35-cp35m-manylinux1_x86_64.whl 24.2 MB Jan 18, 2019	CPython 3.5	CPython 3.5 pymalloc	Linux glibc 2.5+ x86-64	Details
gensim-3.7.0-cp35-cp35m-manylinux1_i686.whl 24.1 MB Jan 18, 2019	CPython 3.5	CPython 3.5 pymalloc	Linux glibc 2.5+ x86-32	Details
gensim-3.7.0-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 24.6 MB Jan 18, 2019	CPython 3.5	CPython 3.5 pymalloc	macOS 10.6+ Intel (x86-64, i386), macOS 10.9+ x86-64, macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.10+ x86-64	Details
gensim-3.7.0-cp27-cp27mu-manylinux1_x86_64.whl 24.2 MB Jan 18, 2019	CPython 2.7	CPython 2.7 pymalloc wide-unicode	Linux glibc 2.5+ x86-64	Details
gensim-3.7.0-cp27-cp27mu-manylinux1_i686.whl 24.1 MB Jan 18, 2019	CPython 2.7	CPython 2.7 pymalloc wide-unicode	Linux glibc 2.5+ x86-32	Details
gensim-3.7.0-cp27-cp27m-win_amd64.whl 24.0 MB Jan 18, 2019	CPython 2.7	CPython 2.7 pymalloc	Windows x86-64	Details
gensim-3.7.0-cp27-cp27m-win32.whl 23.9 MB Jan 18, 2019	CPython 2.7	CPython 2.7 pymalloc	Windows x86-32	Details
gensim-3.7.0-cp27-cp27m-manylinux1_x86_64.whl 24.2 MB Jan 18, 2019	CPython 2.7	CPython 2.7 pymalloc	Linux glibc 2.5+ x86-64	Details
gensim-3.7.0-cp27-cp27m-manylinux1_i686.whl 24.1 MB Jan 18, 2019	CPython 2.7	CPython 2.7 pymalloc	Linux glibc 2.5+ x86-32	Details
gensim-3.7.0-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 24.7 MB Jan 18, 2019	CPython 2.7	CPython 2.7 pymalloc	macOS 10.9+ Intel (x86-64, i386), macOS 10.10+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.9+ x86-64	Details

Total release size: 605.3 MB

Release files / gensim-3.7.0.tar.gz

Download URL	gensim-3.7.0.tar.gz
Size	23.4 MB
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Release files / gensim-3.7.0.win-amd64-py3.5.exe

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Release files / gensim-3.7.0.win32-py3.7.exe

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Release files / gensim-3.7.0-cp37-cp37m-win_amd64.whl

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Release files / gensim-3.7.0-cp37-cp37m-win32.whl

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Release files / gensim-3.7.0-cp37-cp37m-manylinux1_x86_64.whl

Download URL	gensim-3.7.0-cp37-cp37m-manylinux1_x86_64.whl
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Release files / gensim-3.7.0-cp37-cp37m-manylinux1_i686.whl

Download URL	gensim-3.7.0-cp37-cp37m-manylinux1_i686.whl
Size	24.1 MB
Tags	CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-32
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Release files / gensim-3.7.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Download URL	gensim-3.7.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	24.7 MB
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Release files / gensim-3.7.0-cp36-cp36m-win_amd64.whl

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Release files / gensim-3.7.0-cp36-cp36m-win32.whl

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Release files / gensim-3.7.0-cp36-cp36m-manylinux1_x86_64.whl

Download URL	gensim-3.7.0-cp36-cp36m-manylinux1_x86_64.whl
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Release files / gensim-3.7.0-cp36-cp36m-manylinux1_i686.whl

Download URL	gensim-3.7.0-cp36-cp36m-manylinux1_i686.whl
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Release files / gensim-3.7.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Download URL	gensim-3.7.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
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Release files / gensim-3.7.0-cp35-cp35m-win_amd64.whl

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Release files / gensim-3.7.0-cp35-cp35m-win32.whl

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Release files / gensim-3.7.0-cp35-cp35m-manylinux1_x86_64.whl

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Size	24.1 MB
Tags	CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum How to use checksums	`762a80c9bf8abe068a17a37bd8a95612feab16dda62f8fe60a672a0d89a12943`
BLAKE2b-256 checksum How to use checksums	`198d0dfff0e5e815bdb6fcc0b081dced9881b14bb91298e132efb0764737547f`
Upload date	Jan 18, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/2.7.15rc1`

Release files / gensim-3.7.0-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Download URL	gensim-3.7.0-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	24.6 MB
Tags	CPython 3.5 CPython 3.5 pymalloc macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`43229c6b63ec25b7577159e69c904dad582431ac570e658d7ad6bbbf0c63e196`
BLAKE2b-256 checksum How to use checksums	`c6a0ad0dcf63bd24d74a4967a7ce4a90ce93470de2a166cfd5bcd4aa6ee0c7c5`
Upload date	Jan 18, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/2.7.15rc1`

Release files / gensim-3.7.0-cp27-cp27mu-manylinux1_x86_64.whl

Download URL	gensim-3.7.0-cp27-cp27mu-manylinux1_x86_64.whl
Size	24.2 MB
Tags	CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`9733374c27279b9412d24c66a30ae043933703ac083fa644da3f5da2317ff1a3`
BLAKE2b-256 checksum How to use checksums	`52199286235864fa583093338e5a328415c680b11cd79a314266a3a007bf8a65`
Upload date	Jan 18, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/2.7.15rc1`

Release files / gensim-3.7.0-cp27-cp27mu-manylinux1_i686.whl

Download URL	gensim-3.7.0-cp27-cp27mu-manylinux1_i686.whl
Size	24.1 MB
Tags	CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-32
SHA-256 checksum How to use checksums	`f1919c231ccabdd6a1498f23e190f266b21dace28cee7d2a128f7855286f28fe`
BLAKE2b-256 checksum How to use checksums	`f0139a8ea4f7b9a3f19effdcf1df3d96d5dd84196dfeca72eee54d2b6db9a36f`
Upload date	Jan 18, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/2.7.15rc1`

Release files / gensim-3.7.0-cp27-cp27m-win_amd64.whl

Download URL	gensim-3.7.0-cp27-cp27m-win_amd64.whl
Size	24.0 MB
Tags	CPython 2.7 CPython 2.7 pymalloc Windows x86-64
SHA-256 checksum How to use checksums	`c90319b1a0295c66d6de6d9acc91f160b0fd8250a79f73d5f3e094f7a761dc88`
BLAKE2b-256 checksum How to use checksums	`2045d610f472f92ac9188cdcaffe6f972aca703668b63d31404cf17ea66788ad`
Upload date	Jan 18, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/2.7.15rc1`

Release files / gensim-3.7.0-cp27-cp27m-win32.whl

Download URL	gensim-3.7.0-cp27-cp27m-win32.whl
Size	23.9 MB
Tags	CPython 2.7 CPython 2.7 pymalloc Windows x86-32
SHA-256 checksum How to use checksums	`b60d7d13bc779ef27e76f795b83efabf1c98bcb703d020b51cff07f39f99188e`
BLAKE2b-256 checksum How to use checksums	`5be5e51389aa88d5bfd893981061bce6ec0da14988afbb83ea5b9ce68a9388f7`
Upload date	Jan 18, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/2.7.15rc1`

Release files / gensim-3.7.0-cp27-cp27m-manylinux1_x86_64.whl

Download URL	gensim-3.7.0-cp27-cp27m-manylinux1_x86_64.whl
Size	24.2 MB
Tags	CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum How to use checksums	`6ead75f46afeac6c132a7b274df7f6bada4270fe8309863ce06719deff39810a`
BLAKE2b-256 checksum How to use checksums	`c86cff6fa1d81d1c5f86f9da7421161bbd60105bd4e9c01d46f61194156fe61e`
Upload date	Jan 18, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/2.7.15rc1`

Release files / gensim-3.7.0-cp27-cp27m-manylinux1_i686.whl

Download URL	gensim-3.7.0-cp27-cp27m-manylinux1_i686.whl
Size	24.1 MB
Tags	CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum How to use checksums	`50de8692fe58be42cea1d95e55dea87398f8a72dc01fdf0760d192202da78314`
BLAKE2b-256 checksum How to use checksums	`d704f30ef4978f12ae3d204a353180fab8412a68e9c1ef4ff1c8f0d362a6cb9d`
Upload date	Jan 18, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/2.7.15rc1`

Release files / gensim-3.7.0-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Download URL	gensim-3.7.0-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	24.7 MB
Tags	CPython 2.7 CPython 2.7 pymalloc macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`a1c367793c5dbef1c5adf6066e03bf029c95749d44907cad00231a4254142e55`
BLAKE2b-256 checksum How to use checksums	`3877cc7b3266aa803072479a5083481ed1389130506108aa8296a3ea0351182e`
Upload date	Jan 18, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/2.7.15rc1`