Skip to main content

Travis Wheel

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}
}

Gensim is open source software released under the GNU LGPLv2.1 license. Copyright (c) 2009-now Radim Rehurek

Analytics

Metadata

Release files for gensim 3.6.0

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 3.6.0
File Size Uploaded
gensim-3.6.0.tar.gz 23.1 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for gensim 3.6.0
File
gensim-3.6.0.win-amd64-py3.6.exe Details
gensim-3.6.0.win-amd64-py3.5.exe Details
gensim-3.6.0.win-amd64-py2.7.exe Details
gensim-3.6.0.win32-py3.6.exe Details
gensim-3.6.0.win32-py3.5.exe Details
gensim-3.6.0.win32-py2.7.exe Details
gensim-3.6.0-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details
gensim-3.6.0-cp36-cp36m-win32.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-32 Details
gensim-3.6.0-cp36-cp36m-manylinux1_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64 Details
gensim-3.6.0-cp36-cp36m-manylinux1_i686.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-32 Details
gensim-3.6.0-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 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 10.10+ x86-64, macOS 10.6+ Intel (x86-64, i386) Details
gensim-3.6.0-cp35-cp35m-win_amd64.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-64 Details
gensim-3.6.0-cp35-cp35m-win32.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-32 Details
gensim-3.6.0-cp35-cp35m-manylinux1_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64 Details
gensim-3.6.0-cp35-cp35m-manylinux1_i686.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-32 Details
gensim-3.6.0-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 CPython 3.5 CPython 3.5 pymalloc macOS 10.9+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ x86-64, macOS 10.10+ x86-64 Details
gensim-3.6.0-cp27-cp27mu-manylinux1_x86_64.whl CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64 Details
gensim-3.6.0-cp27-cp27mu-manylinux1_i686.whl CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-32 Details
gensim-3.6.0-cp27-cp27m-win_amd64.whl CPython 2.7 CPython 2.7 pymalloc Windows x86-64 Details
gensim-3.6.0-cp27-cp27m-win32.whl CPython 2.7 CPython 2.7 pymalloc Windows x86-32 Details
gensim-3.6.0-cp27-cp27m-manylinux1_x86_64.whl CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-64 Details
gensim-3.6.0-cp27-cp27m-manylinux1_i686.whl CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-32 Details
gensim-3.6.0-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 CPython 2.7 CPython 2.7 pymalloc macOS 10.9+ x86-64, macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.6+ Intel (x86-64, i386) Details

Total release size: 568.7 MB

Release files / gensim-3.6.0.tar.gz

Download URL gensim-3.6.0.tar.gz
Size 23.1 MB
Tags Source
SHA-256 checksum
How to use checksums
24adaca52e8d821a2f5d5e6fe2e37cf321b1fafb505926ea79a7c2f019ce5b07
BLAKE2b-256 checksum
How to use checksums
016e8a8ff9ec36a34dd753c6504cde998c4e0a4e37dcd91e1c9ca4b71960a4f5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0.win-amd64-py3.6.exe

Download URL gensim-3.6.0.win-amd64-py3.6.exe
Size 24.2 MB
Tags Source
SHA-256 checksum
How to use checksums
28555a2388a636ffcba3c19f9a2f2647275a1283a240e5fa3133ab3d49e375c1
BLAKE2b-256 checksum
How to use checksums
9a47877366ad695349494c1ce47d0431fda6030666847fd5350f132810356b47
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0.win-amd64-py3.5.exe

Download URL gensim-3.6.0.win-amd64-py3.5.exe
Size 24.2 MB
Tags Source
SHA-256 checksum
How to use checksums
b6302f6f230798b6a38760d4f723eac63c04dad058a5a48beb5bf3d16d7910d3
BLAKE2b-256 checksum
How to use checksums
cda551df3265441ebb6636349b0a947dc5ff34c9711a91e5c485c76194a2e68e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0.win-amd64-py2.7.exe

Download URL gensim-3.6.0.win-amd64-py2.7.exe
Size 23.7 MB
Tags Source
SHA-256 checksum
How to use checksums
f129be631759ec76bf1ca58f4f12eb8f08d2f534bcd948893f6960d02eb2e87e
BLAKE2b-256 checksum
How to use checksums
17ef3bf0f19dcf5e3dea73179ade5b33e903990af65d3319ba6615c19694e26e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0.win32-py3.6.exe

Download URL gensim-3.6.0.win32-py3.6.exe
Size 24.0 MB
Tags Source
SHA-256 checksum
How to use checksums
1c1aff6ce79628d5e3fbc27481fe8c565be555f03333dc385fa0a48e3c149a62
BLAKE2b-256 checksum
How to use checksums
fe9161656ac6272d31845f0b53b8547a5695e5a39f267060b7c0e1773cf5d3f1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0.win32-py3.5.exe

Download URL gensim-3.6.0.win32-py3.5.exe
Size 24.0 MB
Tags Source
SHA-256 checksum
How to use checksums
f75d662a9096251a9f4b0c6b92360b37c3f7335d0e11e54e53cc5c24158d98aa
BLAKE2b-256 checksum
How to use checksums
b190a6e3fe1624d2b21543e5496e10b797f6dd99a49fa0a7986bad06e211c153
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0.win32-py2.7.exe

Download URL gensim-3.6.0.win32-py2.7.exe
Size 23.6 MB
Tags Source
SHA-256 checksum
How to use checksums
3417b628b0ecde89932f3e499fccc55e56b38cbcc7a4d83f5a45098674bde5d2
BLAKE2b-256 checksum
How to use checksums
180c96834f09a1f386cd841d4bc044a2836d53c9dd3c456cd4c6c4fcae8cfe5c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp36-cp36m-win_amd64.whl

Download URL gensim-3.6.0-cp36-cp36m-win_amd64.whl
Size 23.6 MB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
8437400c1eb243a867a2f34018e58e502f8d645696536383a8a232b13866ad71
BLAKE2b-256 checksum
How to use checksums
52d81a966940585bdd828d6ca8bca37d1be81e3e7e2fa1f51098117f15c32a1b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp36-cp36m-win32.whl

Download URL gensim-3.6.0-cp36-cp36m-win32.whl
Size 23.5 MB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-32
SHA-256 checksum
How to use checksums
521b4d5921c26fec82d9989051c2949e477667edee30bb74a9eb43e44bddd6ad
BLAKE2b-256 checksum
How to use checksums
c75962fa1a3eef2a90bd9504bcfcae774cdbad4dd76c11a7b5e683b69d817944
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp36-cp36m-manylinux1_x86_64.whl

Download URL gensim-3.6.0-cp36-cp36m-manylinux1_x86_64.whl
Size 23.6 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
74a066c5c0990b7cfbb620d460b80778259dec36aafb1d40fce916d9476817a9
BLAKE2b-256 checksum
How to use checksums
27a4d10c0acc8528d838cda5eede0ee9c784caa598dbf40bd0911ff8d067a7eb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp36-cp36m-manylinux1_i686.whl

Download URL gensim-3.6.0-cp36-cp36m-manylinux1_i686.whl
Size 23.6 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum
How to use checksums
2dae73ebe970b8c1b58978799d4936ec52ab1db86929c49194c11a4c75957ef0
BLAKE2b-256 checksum
How to use checksums
35e30703c45f6b9cb0a3bd9f323a4c2dc35478ea084178ff327d5ffd213514ef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-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-3.6.0-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
Size 24.0 MB
Tags CPython 3.6 CPython 3.6 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
a3facc221c62365b29bc249b36c43f034bc85bb9940b8b6b13a9769264636847
BLAKE2b-256 checksum
How to use checksums
62198ecba86351de0eacb9baf1cc49ba86315cd91bc672acd74d6e4e709eb482
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp35-cp35m-win_amd64.whl

Download URL gensim-3.6.0-cp35-cp35m-win_amd64.whl
Size 23.6 MB
Tags CPython 3.5 CPython 3.5 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
ba6198b2389b45c2d851b4226c0e653fafb8b706dd181d472211da8b8c1e8fe6
BLAKE2b-256 checksum
How to use checksums
ed5593f16d1c88508b3a585d0e9b8aef92d806a55869fb6ab31c2a0b3796f1c5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp35-cp35m-win32.whl

Download URL gensim-3.6.0-cp35-cp35m-win32.whl
Size 23.5 MB
Tags CPython 3.5 CPython 3.5 pymalloc Windows x86-32
SHA-256 checksum
How to use checksums
27e1f7ed5a0bb2e93b7c2a6bd3ab71eca0c59568770e45f2df456d3909c0e47d
BLAKE2b-256 checksum
How to use checksums
1388bac955aa946f83488da94402c17338e895eaf3bd4de2253b5608867e593e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp35-cp35m-manylinux1_x86_64.whl

Download URL gensim-3.6.0-cp35-cp35m-manylinux1_x86_64.whl
Size 23.6 MB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
5d5e3669bf80d6bf557143f5a59ef016ed3f5bcd0313a3490c756b48936a08af
BLAKE2b-256 checksum
How to use checksums
030a02c7ac51565a0a5b05a07936e5559a635d5d2e8cf19801e0f00204df5ece
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp35-cp35m-manylinux1_i686.whl

Download URL gensim-3.6.0-cp35-cp35m-manylinux1_i686.whl
Size 23.6 MB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum
How to use checksums
e7ccc22df2ccefbef1cf5a5ebaec1467115e2a7d602058e9a5d25ec2a322b3bc
BLAKE2b-256 checksum
How to use checksums
7cd63e09155d03dc678ec809530362551dd27d3a9d279fd1f0a7ad300111d8e9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-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-3.6.0-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 24.0 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
3c6103dba32b32d436c816df6e73c4939b8f1b0c40f372804f776105dbff7889
BLAKE2b-256 checksum
How to use checksums
739b94f8e2b25fe1b60627e0be4f04f33c9b89739b30065001bfcfa190a7e472
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp27-cp27mu-manylinux1_x86_64.whl

Download URL gensim-3.6.0-cp27-cp27mu-manylinux1_x86_64.whl
Size 23.6 MB
Tags CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
db9b9dd9410289c4848aef173e105a6c433d31ac6347f1c289bd1ce7632eba84
BLAKE2b-256 checksum
How to use checksums
6b041f7ddead05cb601f76ed8930c1b66ba789122d932d95e94daf3518d465e6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp27-cp27mu-manylinux1_i686.whl

Download URL gensim-3.6.0-cp27-cp27mu-manylinux1_i686.whl
Size 23.6 MB
Tags CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-32
SHA-256 checksum
How to use checksums
34b36fd3b459b37534c6fe326e90dd41ca8936ef01369c329878ff9add47db96
BLAKE2b-256 checksum
How to use checksums
962d533b7d3d06478c113976600fc1fae98a1782602bf68b81f4a3c3069e7698
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp27-cp27m-win_amd64.whl

Download URL gensim-3.6.0-cp27-cp27m-win_amd64.whl
Size 23.5 MB
Tags CPython 2.7 CPython 2.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
cb3ea7d70106049c3453e19bda1f72412c358b94faf577a8de64bcd1a90aa4f8
BLAKE2b-256 checksum
How to use checksums
220bb83ad2e1772461627f7ddf2f34e102964276b4add36ec6c8d5cb0ccd07f8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp27-cp27m-win32.whl

Download URL gensim-3.6.0-cp27-cp27m-win32.whl
Size 23.4 MB
Tags CPython 2.7 CPython 2.7 pymalloc Windows x86-32
SHA-256 checksum
How to use checksums
a5dce235d076b5a17b672f53d605c04367b36c116f1c0b3f1793e44660b7856f
BLAKE2b-256 checksum
How to use checksums
ae3771614c84f924094736c900afbe5e2a2a9ef18a19d27094e3171f15eb9c62
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp27-cp27m-manylinux1_x86_64.whl

Download URL gensim-3.6.0-cp27-cp27m-manylinux1_x86_64.whl
Size 23.6 MB
Tags CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
70baa847bb1bc2c3e1fe1ef874ebdcc97054d253dc7add50a3f6053ca13ef6c6
BLAKE2b-256 checksum
How to use checksums
980532c850d32f7c7ad1b23c5706b04f7f14476d4fea4b071dd57bc9392adbe1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-cp27-cp27m-manylinux1_i686.whl

Download URL gensim-3.6.0-cp27-cp27m-manylinux1_i686.whl
Size 23.6 MB
Tags CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum
How to use checksums
8020e4500e34e9adc5387356e9b51c78d9a6e0ee5efe624f67e16882e1e1612c
BLAKE2b-256 checksum
How to use checksums
4cee43dfcee30ce88d08c105dd494a182f7c780ed838455b8b60a4f932f18282
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release files / gensim-3.6.0-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-3.6.0-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 24.0 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
f43f9d813a3205aaa47159f9f75445621c680905f07606c275e971ed2e48c6e2
BLAKE2b-256 checksum
How to use checksums
1b930978a08e622dda7620570450529b8e27ff5fbac41e55747e61f3e420e143
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15rc1

Release history Release notifications | RSS feed

4.4.0

26 release files

4.3.3

26 release files

4.3.2

21 release files

4.3.1

24 release files

4.3.0

17 release files

4.1.2

17 release files

4.1.1

13 release files

4.1.0

17 release files

4.0.0

10 release files

3.8.2

22 release files

3.8.1

31 release files

3.7.2

15 release files

3.7.1

31 release files

3.7.0

25 release files

This release

3.6.0 This release

24 release files

3.1.0

7 release files

3.0.0

16 release files

2.3.0

16 release files

2.2.0

16 release files

2.1.0

12 release files

2.0.0

12 release files

1.0.0

9 release files

0.13.4

9 release files

0.13.2

9 release files

0.13.0

1 release file

0.12.2

2 release files

0.12.1

2 release files

0.11.1

2 release files

0.10.3

2 release files

0.10.2

2 release files

0.10.1

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.9

2 release files

0.8.8

2 release files

0.8.7

1 release file

0.8.6

2 release files

0.8.5

2 release files

0.8.4

2 release files

0.8.3

2 release files

0.8.2

2 release files

0.8.1

2 release files

0.8.0

2 release files

0.7.8

2 release files

0.7.7

2 release files

0.7.6

2 release files

0.7.5

2 release files

0.7.4

2 release files

0.7.3

2 release files

0.7.2

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.0

2 release files

0.5.0

2 release files

0.4.7

2 release files

0.4.6

2 release files

0.4.5

2 release files

0.4.4

2 release files

0.4.3

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4

2 release files

0.3.0

2 release files

0.2

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page