View yargy on Snyk Open Source Advisor

Package Health Score

50 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Limited

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commander
42

Popularity

Small

GitHub Stars: 316
Forks: 40
Contributors: 6

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package yargy, we found that it has been starred 316 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 24, 2023
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 16
Open PR: 0
Last Release: 1 year ago
Last Commit: 1 year ago

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

An important project maintenance signal to consider for yargy is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 6
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like yargy is missing a Code of Conduct.

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Package

Python Versions Compatibility: Unspecified

Age: 8 years
Latest Release: 1 year ago
Dependencies: 1 Direct / 4 Total
Versions: 15
Maintainers: 0
Wheels: OS Independent

Readme

Yargy uses rules and dictionaries to extract structured information from Russian texts. Yargy is similar to Tomita parser.

Install

Yargy supports Python 3.7+, PyPy 3, depends only on Pymorphy2.

$ pip install yargy

Usage

from yargy import Parser, rule, and_, not_
from yargy.interpretation import fact
from yargy.predicates import gram
from yargy.relations import gnc_relation
from yargy.pipelines import morph_pipeline


Name = fact(
    'Name',
    ['first', 'last'],
)
Person = fact(
    'Person',
    ['position', 'name']
)

LAST = and_(
    gram('Surn'),
    not_(gram('Abbr')),
)
FIRST = and_(
    gram('Name'),
    not_(gram('Abbr')),
)

POSITION = morph_pipeline([
    'управляющий директор',
    'вице-мэр'
])

gnc = gnc_relation()
NAME = rule(
    FIRST.interpretation(
        Name.first
    ).match(gnc),
    LAST.interpretation(
        Name.last
    ).match(gnc)
).interpretation(
    Name
)

PERSON = rule(
    POSITION.interpretation(
        Person.position
    ).match(gnc),
    NAME.interpretation(
        Person.name
    )
).interpretation(
    Person
)

parser = Parser(PERSON)

match = parser.match('управляющий директор Иван Ульянов')
print(match)

Person(
    position='управляющий директор',
    name=Name(
        first='Иван',
        last='Ульянов'
    )
)

Documentation

All materials are in Russian:

Support

Chat — https://t.me/natural_language_processing
Issues — https://github.com/natasha/yargy/issues
Commercial support — https://lab.alexkuk.ru

Development

Dev env

brew install graphviz

python -m venv ~/.venvs/natasha-yargy
source ~/.venvs/natasha-yargy/bin/activate

pip install -r requirements/dev.txt
pip install -e .

python -m ipykernel install --user --name natasha-yargy

Test + lint

make test

Update docs

make exec-docs

# Manually check git diff docs/, commit

Release

# Update setup.py version

git commit -am 'Up version'
git tag v0.16.0

git push
git push --tags

# Github Action builds dist and publishes to PyPi

yargy dependencies

pymorphy2

FAQs

What is yargy?

Rule-based facts extraction for Russian language. Visit Snyk Advisor to see a full health score report for yargy, including popularity, security, maintenance & community analysis.

Is yargy popular?

The python package yargy receives a total of 3,176 weekly downloads. As such, yargy popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is yargy well maintained?

We found indications that yargy is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is yargy safe to use?

The python package yargy 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 10:59 (UTC).

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yargy

Rule-based facts extraction for Russian language For more information about how to use this package see README

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Readme

Install

Usage

Documentation

Support

Development

yargy dependencies

FAQs

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Is yargy popular?

Is yargy well maintained?

Is yargy safe to use?

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