Package Health Score

89 / 100

security
No known security issues
popularity
Influential project
maintenance
Sustainable
community
Active

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words
42

Popularity

Influential project

GitHub Stars: 830
Forks: 506
Contributors: 120

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package num2words, we found that it has been starred 830 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Dec 17, 2024
Direct Vulnerabilities: 0
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0
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0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
1
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

LGPL-2.1

Non-Permissive License

We noticed that this project uses a license which requires less permissive conditions such as disclosing the source code, stating changes or redistributing the source under the same license. It is advised to further consult the license terms before use.

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 97
Open PR: 100
Last Release: 8 days ago
Last Commit: 9 days ago

Further analysis of the maintenance status of num2words based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that num2words demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 120
Funding: No

A good and healthy external contribution signal for num2words project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: ==3.10.*, ==3.11.*, ==3.12.*, ==3.7.*, ==3.8.*, ==3.9.*

Age: 12 years
Latest Release: 8 days ago
Dependencies: 0 Direct
Versions: 15
Maintainers: 0
Wheels: OS Independent

Not sure how to use num2words?

To help you get started, we've collected the most common ways that num2words is being used within popular public projects.

savoirfairelinux / num2words / tests / test_cli.py View on Github

def test_cli_list_langs(self):
        """You should be able to list all availabe languages
        """
        output = self.cli.run_cmd('--list-languages')
        self.assertEqual(
            sorted(list(num2words.CONVERTER_CLASSES.keys())),
            output.out.strip().split(os.linesep)
        )
        output = self.cli.run_cmd('-L')
        self.assertEqual(
            sorted(list(num2words.CONVERTER_CLASSES.keys())),
            output.out.strip().split(os.linesep)
        )

View more ways to use num2words

num2words library - Convert numbers to words in multiple languages

.. image:: https://img.shields.io/pypi/v/num2words.svg :target: https://pypi.python.org/pypi/num2words

.. image:: https://travis-ci.org/savoirfairelinux/num2words.svg?branch=master :target: https://travis-ci.org/savoirfairelinux/num2words

.. image:: https://coveralls.io/repos/github/savoirfairelinux/num2words/badge.svg?branch=master :target: https://coveralls.io/github/savoirfairelinux/num2words?branch=master

num2words is a library that converts numbers like 42 to words like forty-two. It supports multiple languages (see the list below for full list of languages) and can even generate ordinal numbers like forty-second (although this last feature is a bit buggy for some languages at the moment).

The project is hosted on GitHub_. Contributions are welcome.

.. _GitHub: https://github.com/savoirfairelinux/num2words

Installation

The easiest way to install num2words is to use pip::

pip install num2words

Otherwise, you can download the source package and then execute::

python setup.py install

The test suite in this library is new, so it's rather thin, but it can be run with::

python setup.py test

To run the full CI test suite which includes linting and multiple python environments::

pip install tox
tox

Usage

Command line::

$ num2words 10001
ten thousand and one
$ num2words 24,120.10
twenty-four thousand, one hundred and twenty point one
$ num2words 24,120.10 -l es
veinticuatro mil ciento veinte punto uno
$num2words 2.14 -l es --to currency
dos euros con catorce céntimos

In code there's only one function to use::

>>> from num2words import num2words
>>> num2words(42)
forty-two
>>> num2words(42, to='ordinal')
forty-second
>>> num2words(42, lang='fr')
quarante-deux

Besides the numerical argument, there are two main optional arguments, to: and lang:

to: The converter to use. Supported values are:

cardinal (default)
ordinal
ordinal_num
year
currency

lang: The language in which to convert the number. Supported values are:

en (English, default)
am (Amharic)
ar (Arabic)
az (Azerbaijani)
be (Belarusian)
bn (Bangladeshi)
ca (Catalan)
ce (Chechen)
cs (Czech)
cy (Welsh)
da (Danish)
de (German)
en_GB (English - Great Britain)
en_IN (English - India)
en_NG (English - Nigeria)
es (Spanish)
es_CO (Spanish - Colombia)
es_CR (Spanish - Costa Rica)
es_GT (Spanish - Guatemala)
es_VE (Spanish - Venezuela)
eu (EURO)
fa (Farsi)
fi (Finnish)
fr (French)
fr_BE (French - Belgium)
fr_CH (French - Switzerland)
fr_DZ (French - Algeria)
he (Hebrew)
hu (Hungarian)
id (Indonesian)
is (Icelandic)
it (Italian)
ja (Japanese)
kn (Kannada)
ko (Korean)
kz (Kazakh)
lt (Lithuanian)
lv (Latvian)
nl (Dutch)
no (Norwegian)
pl (Polish)
pt (Portuguese)
pt_BR (Portuguese - Brazilian)
ro (Romanian)
ru (Russian)
sl (Slovene)
sk (Slovak)
sr (Serbian)
sv (Swedish)
te (Telugu)
tet (Tetum)
tg (Tajik)
tr (Turkish)
th (Thai)
uk (Ukrainian)
vi (Vietnamese)

You can supply values like fr_FR; if the country doesn't exist but the language does, the code will fall back to the base language (i.e. fr). If you supply an unsupported language, NotImplementedError is raised. Therefore, if you want to call num2words with a fallback, you can do::

try:
    return num2words(42, lang=mylang)
except NotImplementedError:
    return num2words(42, lang='en')

Additionally, some converters and languages support other optional arguments that are needed to make the converter useful in practice.

Wiki

For additional information on some localization please check the Wiki_. And feel free to propose wiki enhancement.

.. _Wiki: https://github.com/savoirfairelinux/num2words/wiki

History

num2words is based on an old library, pynum2word, created by Taro Ogawa in 2003. Unfortunately, the library stopped being maintained and the author can't be reached. There was another developer, Marius Grigaitis, who in 2011 added Lithuanian support, but didn't take over maintenance of the project.

I am thus basing myself on Marius Grigaitis' improvements and re-publishing pynum2word as num2words.

Virgil Dupras, Savoir-faire Linux

Changelog

Version 0.5.14 -- 2024/12/16

Fixed a typo in PL (#466)
Run tests against Python 3.12 (#544)
ADD num2words: es_CR language (#565)
New languages: Welsh (Celtic) and Chechen (Nakho-Dagestanian) (#543)
Add catalan language support (#581)
Adding Tetum Language (#576)
FIX ISO code for Belarusian language is be, not by. (#574)
Add test to improve coverage (#595)
Added Bangla language support to num2word for Bangladesh. (#589)
Czech language ISO 639-1 code fix (#587)
Added support for Tunisian Dinar (#593)
Change danish language code to DA (#596)

Version 0.5.13 -- 2023/10/18

Fix a problem in Brazilian Portuguese code referred to thousands when the hundreds are exact. (#421)
Fix issue with the hundreds of millions, billions, ... when the hundreds of those are exact. (#436)
Fix negative number problem (#477)
Fix lang_DK issues (#366)
Norwegian uplift (#484)
BYN to EU and RU (#439)
Change python3.6 to python3.11 because deprecation in ubuntu 22.04 (#494)
Add support for Azerbaijani language (#495)
Add Icelandic (#380)
Hebrew long-form spelling, gender, ordinals, fractions, maxval=1e66, construct forms (#490)
Fix 15, 16, 17, 18, 19 issue (#505)
Added support for the Nigerian Naira (#507)
Fix several issues with num2words in Arabic (#512)
Guatemalan currency support (#510)
Fix #508: Handle string inputs in Italian to_ordinal (#518)
Add Slovak language support (#533)
Add gender and morphological cases support for Ukrainian (#530)
Adding genders for Russian language (#503)
Lang By Added (#506)
Add Saudi Riyal to english (#531)

Version 0.5.12 -- 2022/08/19

Support Japanese Reiwa (令和/れいわ) era. (#412)
Add basic farsi support (#354)
Added Tajik language support (#406)
Fix Amharic language support (#465)
Fix Hebrew pluralize and implement to_currency (#330)
Add support to translate some currencies in italian language (#434)
Fix Polish twenties (#345)
Add uzs for ru and en (#422)
Added support for Esperanto numbers. (#387)
[ADD] to ordinal number for Turkish (#468)
Fix zeroth in Dutch to nulde fixing (#326)

Version 0.5.11 -- 2022/08/03

Add KZT and UAH currencies to lang RU (#264)
Add es_NI currency (#276)
Update .gitignore to add .eggs/ directory (#280)
Fix Hebrew support (#289)
Update test_tr.py to increase coverage (#298)
Add ordinal 12,345 to ES test suite to increase coverage (#287)
Add simple tests for lang_DK.py (#286)
Add testcase for lang_EN.py (#288)
Add more tests to base.py (#283)
Fixed misspelling of 21 (cardinal and ordinal number) in IT language (#270)
Romanian issues 259 (#260)
Adding Language Support for Telugu / Bug Fix in Kannada (#263)
Add support of Kazakh language (KZ) (#306)
Update README.rst (#307)
Added support for Hungarian language (#310)
[UPD] Readme file (#363)
[ADD] num2words: add traslation to spanish of several currencies (#356)
added swedish language including test cases (#352)
Remove dupplicated line in lang_PT_BR (#355)
Fix ordinal_num output for Dutch (NL) (#369)
Polishordinals (#367)
[tr] return Turkish 0 ordinal and cardinal (#347)
Improve Ukrainian support and minor fixes in CZ, KZ, LT, LV, PL, RU, SR languages (#400)
feat: ci: replace travis by github workflows (#448)
[ES] Added missing accents ("dieciséis", "dólar", "dólares", "veintiún"), improved currency gender handling, fixed pound cent names (#443)

Version 0.5.10 -- 2019/05/12

Add Kannada language localization (#243)
Revert some copyrights changed by mistake (#254)
Add indian rupee to the supported currencies (#248)
Improve currency functions for German and French (#247)
Improve Slovene localization (#246)
Improve Spanish localization (#240)
Fix typo 'seperator' on source code (#238)
Convert string to decimal values (#223)
Improve German localization and test coverage (#237)
Improve Polish localization (#233)
Fix ordinal number for French ending on 1 (#236)

Version 0.5.9 -- 2019/01/10

Fix encoding issue on release 0.5.8 (#229)
Improve Polish localization (#228)

Version 0.5.8 -- 2018/11/17

Add Portuguese (Portugal) localization (#198)
Add a command line tool to use num2words
Use language iso code for Vietnamese
Improve Korean localization (#219)
Improve Serbian (Latin) localization (#207)
Improve testing setup (#220)
Improve German localization (#214) (#222)
Improve Romanian localization (#215)
Improve Spanish localization (#187) (#200)
Improve Russian localization (#211) (#212)
Improve French localization (23902ab)
Improve Arabic localization (#176)
Improve Lithuanian and Latvian localization (#185)
Improve Ukrainian localization (#183)

Version 0.5.7 -- 2018/06/27

Add Finnish localization. (#170)
Add Japanese localization. (#171)
Add belgian-french localization. (#151)
Add Czech localization. (#154)
Add Thai localization. (#139)
Improve English localization. (#144)
Improve Spanish localization. (#167)
Improve Italian localization. (#143)
Improve documentation. (#155, #145, #174)

Version 0.5.6 -- 2017/11/22

Refactor to_currency (#135)
Allow the use of other convertes to_currency, to_year (#95)
Fix code to respect PEP8 (#98, #105)
Add Slovene localization (#97)
Add Ukrainian localization (#93)
Add Dutch localization (#91)
Add Algeria-French localization (#86)
Add Turkish localization (#85)

Version 0.5.5 -- 2017/07/02

Add Arabic localization (#72)
Add Spanish-Colombian and Spanish-Venezuelan localization (#67)
Add VietNam localization (#61)
Add Italian localization (#56, #59)
Improve Russian localization (#62)
Improve Polish localization (#58)

Version 0.5.4 -- 2016/10/18

Tons of new languages!
Add Polish localization. (#23)
Add Swiss-French localization. (#38)
Add Russian localization. (#28, #46, #48)
Add Indonesian localization. (#29)
Add Norwegian localization. (#33)
Add Danish localization. (#40)
Add Brazilian localization. (#37, #47)
Improve German localization. (#25, #27, #49)
Improve Lithuanian localization. (#52)
Improve floating point spelling. (#24)

Version 0.5.3 -- 2015/06/09

Fix packaging issues. (#21, #22)

Version 0.5.2 -- 2015/01/23

Added Latvian localization. (#9)
Improved Spanish localization. (#10, #13, #14)
Improved Lithuanian localization. (#12)

Version 0.5.1 -- 2014/03/14

Added Python 3 support with 2to3. (#3)
Fixed big numbers in spanish. (#2)
Fixed bugs in tanslation from 30 to 40 in spanish. (#4)
Fixed word joining in english. (#8)

Version 0.5.0 -- 2013/05/28

Created num2words based on the old pynum2word project.

FAQs

What is num2words?

Modules to convert numbers to words. Easily extensible. Visit Snyk Advisor to see a full health score report for num2words, including popularity, security, maintenance & community analysis.

Is num2words popular?

The python package num2words receives a total of 600,498 weekly downloads. As such, num2words popularity was classified as an influential project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is num2words well maintained?

We found indications that num2words maintenance is sustainable demonstrating some project activity. We saw a total of 120 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is num2words safe to use?

The python package num2words was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 25 December-2024, at 02:14 (UTC).

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