category_encoders

Score: 25.171334505806072

Last synced: about 12 hours ago
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Repository metadata:

A library of sklearn compatible categorical variable encoders

Host: GitHub
URL: https://github.com/scikit-learn-contrib/category_encoders
Owner: scikit-learn-contrib
License: bsd-3-clause
Created: 2015-11-29T19:32:37.000Z (over 10 years ago)
Default Branch: master
Last Pushed: 2026-07-31T23:40:58.000Z (14 days ago)
Last Synced: 2026-08-13T02:40:42.744Z (1 day ago)
Language: Python
Homepage: http://contrib.scikit-learn.org/category_encoders/
Size: 43.4 MB
Stars: 2,497
Watchers: 35
Forks: 411
Open Issues: 37
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Zenodo: .zenodo.json

Owner metadata:

Name: scikit-learn-contrib
Login: scikit-learn-contrib
Email:
Kind: organization
Description: scikit-learn compatible projects
Website: http://contrib.scikit-learn.org
Location:
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/17349883?v=4
Repositories: 27
Last Synced at: 2024-03-25T20:03:09.812Z
Profile URL: https://github.com/scikit-learn-contrib

GitHub Events

Total

Create event: 8
Delete event: 3
Fork event: 13
Issue comment event: 19
Issues event: 18
Pull request event: 21
Pull request review comment event: 7
Pull request review event: 2
Push event: 18
Release event: 4
Watch event: 72
Total: 185

Last Year

Create event: 3
Delete event: 3
Fork event: 2
Issue comment event: 4
Issues event: 1
Pull request event: 10
Pull request review comment event: 7
Pull request review event: 2
Push event: 9
Release event: 1
Watch event: 16
Total: 58

Committers metadata

Last synced: 1 day ago

Total Commits: 841
Total Committers: 74
Avg Commits per committer: 11.365
Development Distribution Score (DDS): 0.819

Commits in past year: 25
Committers in past year: 7
Avg Commits per committer in past year: 3.571
Development Distribution Score (DDS) in past year: 0.52

Name	Email	Commits
Jan Motl	j**n@m**s	152
jcastaldo08	j**8@g**m	100
Will McGinnis	w**l@p**m	96
paul	p**r@w**e	63
SLLiu	s**6@1**m	60
florian	d**n@a**h	34
Will McGinnis	w**l@p**m	32
Carlos Mougan	c**n@g**m	26
Lisa	l**l@g**m	24
Will McGinnis	w****6	22
Ben Reiniger	4****r	20
PaulWestenthanner	p**l@w**v	19
florian	c**t@a**h	16
makrobios	b**h@g**m	15
joshua.dunn	j**n@e**m	15
JaimeArboleda	j**a@g**m	10
bkhant1	b**n@g**m	9
Gleb Levitski	3****v	7
anjum	a**8@g**m	7
hhy	h**y@1**m	7
Nicholas Bollweg	n**g@g**m	6
david26694	d**4@g**m	6
taowenwu	7**9@q**m	6
Rishoban	r**7@g**m	5
Mavs	m**7@g**m	5
Jean-Baptiste Braun	8****f	5
Chapman Siu	c**u@g**m	5
Gijsbers	p**s@t**l	4
John Hopfensperger	4****h	4
Cameron Davison	c**n@n**m	4
and 44 more...

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 111
Total pull requests: 94
Average time to close issues: over 1 year
Average time to close pull requests: 3 months
Total issue authors: 88
Total pull request authors: 35
Average comments per issue: 3.14
Average comments per pull request: 1.46
Merged pull request: 70
Bot issues: 0
Bot pull requests: 4

Past year issues: 8
Past year pull requests: 27
Past year average time to close issues: 24 days
Past year average time to close pull requests: 15 days
Past year issue authors: 5
Past year pull request authors: 10
Past year average comments per issue: 0.88
Past year average comments per pull request: 0.44
Past year merged pull request: 19
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/scikit-learn-contrib/category_encoders

Top Issue Authors

PaulWestenthanner (8)
janmotl (6)
mbsuraj (3)
wdm0006 (3)
bmreiniger (3)
jungtaekkim (2)
JoshuaC3 (2)
eddietaylor (2)
willsthompson (2)
tvdboom (2)
CoteDave (1)
PraveshKoirala (1)
TobiasSackmannDacoso (1)
euisuk-chung (1)
nexusme (1)

Top Pull Request Authors

PaulWestenthanner (26)
wdm0006 (13)
jbbqqf (5)
dependabot[bot] (4)
bmreiniger (4)
glevv (4)
fullflu (2)
marekschneider (2)
dennisobrien (2)
bkhant1 (2)
nercisla (2)
Jordanbarker (2)
s-banach (2)
tvdboom (2)
bollwyvl (2)

Top Issue Labels

enhancement (22)
bug (9)
good first issue (8)
help wanted (8)
non-reproducible (6)
discussion (3)
question (3)
documentation (2)
wontfix (2)
Release (1)

Top Pull Request Labels

dependencies (4)
python (4)

Package metadata

Total packages: 5
Total downloads:
- conda: 455,439 total
- pypi: 282 last-month
Total dependent packages: 9 (may contain duplicates)
Total dependent repositories: 25 (may contain duplicates)
Total versions: 28
Total maintainers: 2

conda-forge.org: category_encoders

A set of scikit-learn-style transformers for encoding categorical variables into numeric with different techniques. While ordinal, one-hot, and hashing encoders have similar equivalents in the existing scikit-learn version, the transformers in this library all share a few useful properties: - First-class support for pandas dataframes as an input (and optionally as output) - Can explicitly configure which columns in the data are encoded by name or index, or infer non-numeric columns regardless of input type - Can drop any columns with very low variance based on training set optionally - Portability: train a transformer on data, pickle it, reuse it later and get the same thing out. - Full compatibility with sklearn pipelines, input an array-like dataset like any other transformer

Homepage: https://github.com/scikit-learn-contrib/category_encoders
Licenses: BSD-3-Clause
Latest release: 2.5.0 (published about 4 years ago)
Last Synced: 2026-03-23T03:13:08.074Z (5 months ago)
Versions: 16
Dependent Packages: 7
Dependent Repositories: 12
Downloads: 444,805 Total
Rankings:
- Dependent packages count: 8.011%
- Forks count: 8.505%
- Stargazers count: 8.535%
- Average: 8.798%
- Dependent repos count: 10.142%

pypi.org: category-encoders-dev

A collection sklearn transformers to encode categorical variables as numeric

Homepage: https://github.com/scikit-learn-contrib/category_encoders
Documentation: https://category-encoders-dev.readthedocs.io/
Licenses: BSD
Latest release: 2.2.2.post2021 (published almost 5 years ago)
Last Synced: 2026-08-13T02:57:09.956Z (1 day ago)
Versions: 1
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 282 Last month
Rankings:
- Stargazers count: 1.473%
- Forks count: 2.661%
- Dependent packages count: 7.306%
- Average: 11.524%
- Dependent repos count: 22.077%
- Downloads: 24.101%
Maintainers (1)
- minrock

anaconda.org: category_encoders

Homepage: https://github.com/scikit-learn-contrib/category_encoders
Licenses: BSD-3-Clause
Latest release: 2.9.0 (published 3 months ago)
Last Synced: 2026-05-19T20:03:25.080Z (3 months ago)
Versions: 9
Dependent Packages: 2
Dependent Repositories: 12
Downloads: 10,634 Total
Rankings:
- Stargazers count: 17.059%
- Forks count: 17.059%
- Dependent packages count: 20.447%
- Average: 22.82%
- Dependent repos count: 36.715%

nixpkgs-unstable: python314Packages.category-encoders

Library for sklearn compatible categorical variable encoders

Homepage: https://github.com/scikit-learn-contrib/category_encoders
Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/category-encoders/default.nix#L58
Licenses: BSD-3-Clause
Latest release: 2.9.0 (published 7 months ago)
Last Synced: 2026-04-10T19:01:52.489Z (4 months ago)
Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
Maintainers (1)
- daspk04

nixpkgs-unstable: python313Packages.category-encoders

Library for sklearn compatible categorical variable encoders

Homepage: https://github.com/scikit-learn-contrib/category_encoders
Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/category-encoders/default.nix#L58
Licenses: BSD-3-Clause
Latest release: 2.9.0 (published 7 months ago)
Last Synced: 2026-03-07T00:31:36.400Z (5 months ago)
Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Rankings:
Maintainers (1)
- daspk04

Dependencies

.github/workflows/docs.yml actions

actions/checkout v2 composite
ammaraskar/sphinx-action master composite
peaceiris/actions-gh-pages v3 composite

.github/workflows/pypi-publish.yml actions

actions/checkout v2 composite
actions/setup-python v2 composite
pypa/gh-action-pypi-publish master composite

.github/workflows/test-docs-build.yml actions

actions/checkout v2 composite
actions/setup-python v2 composite
ammaraskar/sphinx-action master composite

.github/workflows/test-suite.yml actions

actions/checkout v2 composite
actions/setup-python v2 composite

docs/requirements.txt pypi

numpy >=1.14.0
numpydoc *
pandas >=0.21.1
patsy >=0.5.1
scikit-learn >=0.20.0
scipy >=1.0.0
sphinx >=3.0
sphinx_rtd_theme *
statsmodels >=0.9.0
unittest2 *

poetry.lock pypi

alabaster 1.0.0
attrs 25.4.0
babel 2.17.0
certifi 2025.10.5
charset-normalizer 3.4.4
colorama 0.4.6
docutils 0.21.2
idna 3.11
imagesize 1.4.1
iniconfig 2.3.0
jinja2 3.1.6
joblib 1.5.2
markupsafe 3.0.3
numpy 2.3.4
numpydoc 1.9.0
packaging 25.0
pandas 2.3.3
patsy 1.0.2
pluggy 1.6.0
pygments 2.19.2
pytest 8.4.2
pytest-subtests 0.15.0
python-dateutil 2.9.0.post0
pytz 2025.2
requests 2.32.5
roman-numerals-py 3.1.0
ruff 0.14.3
scikit-learn 1.7.2
scipy 1.16.3
six 1.17.0
snowballstemmer 3.0.1
sphinx 8.2.3
sphinx-rtd-theme 3.0.2
sphinxcontrib-applehelp 2.0.0
sphinxcontrib-devhelp 2.0.0
sphinxcontrib-htmlhelp 2.1.0
sphinxcontrib-jquery 4.1
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 2.0.0
sphinxcontrib-serializinghtml 2.0.0
statsmodels 0.14.5
threadpoolctl 3.6.0
tzdata 2025.2
urllib3 2.5.0

pyproject.toml pypi

numpydoc ^1.8.0 develop
pytest ^8.3.3 develop
pytest-subtests ^0.15.0 develop
ruff ^0.14.3 develop
sphinx ^8.2.3 develop
sphinx-rtd-theme ^3.0.2 develop
numpy >=1.14.0
pandas >=1.0.5
patsy >=0.5.1
python >=3.11
scikit-learn >=1.6.0
scipy >=1.0.0
statsmodels >=0.9.0

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