Skip to main content

Project for declension of Ukrainian names

Project description

Franko ― Ukrainian Name Declension Library

Documentation

Description

Franko is a simple yet powerful tool for automatic declension of Ukrainian personal names (family name, given name, patronymic).
It uses the shevchenko-js engine under the hood and provides:

  • A Node.js CLI (decline.js / decline.bundle.js) for quick command-line usage.
  • A Python module (Franko.py) with a Franko class, allowing you to integrate declension directly into your scripts.
  • A build script (build.js) based on esbuild that bundles the CLI into a single file for distribution.

Main Components

  1. decline.js / decline.bundle.js

    • Parses positional arguments (<Family?> <Given?> <Patronymic?> [masculine|feminine]).
    • Calls the shevchenko-js API to generate all seven Ukrainian cases.
    • Outputs a formatted JSON object.
  2. Franko.py

    • Locates decline.bundle.js and the Node.js executable at initialization.
    • Exposes generate(text: str, gender: str = 'masculine') -> dict, returning a dictionary with keys
      nominative, genitive, dative, accusative, instrumental, locative, and vocative.
  3. build.js

    • Uses esbuild to bundle decline.js and its dependencies into decline.bundle.js.
    • Targets Node.js 14 (platform: 'node', target: ['node14']).

Usage

Installation

Node.js must be installed

From PyPI :

pip install franko

Python code

   from Franko import Franko

   # Create a single instance
   f = Franko()

   # Decline a masculine name
   result = f.generate("Шевченко Тарас Григорович", "masculine")
   print(result)

   # You can call generate() multiple times with different inputs
   for name, gender in [
       ("Шевченко Тарас Григорович", "masculine"),
       ("Чуєнко Катерина Віталіївна", "feminine")
   ]:
       forms = f.generate(name, gender)
       print(forms)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

franko-25.5.9.tar.gz (767.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

franko-25.5.9-py3-none-any.whl (779.5 kB view details)

Uploaded Python 3

File details

Details for the file franko-25.5.9.tar.gz.

File metadata

  • Download URL: franko-25.5.9.tar.gz
  • Upload date:
  • Size: 767.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for franko-25.5.9.tar.gz
Algorithm Hash digest
SHA256 88876263076fee862583745d6fb343e7c79f163aff0cb6be6a62eb4bcbc53c75
MD5 0e5af860200c82865bb20c5f12def657
BLAKE2b-256 8cd745ff56c8331577d06fe90869c0d73ef745e09579087b5fa3afb11821b7a2

See more details on using hashes here.

Provenance

The following attestation bundles were made for franko-25.5.9.tar.gz:

Publisher: publish.yml on TheDanielll/franko

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file franko-25.5.9-py3-none-any.whl.

File metadata

  • Download URL: franko-25.5.9-py3-none-any.whl
  • Upload date:
  • Size: 779.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for franko-25.5.9-py3-none-any.whl
Algorithm Hash digest
SHA256 dabec9a76133e9cce84346efe25929bd0807856c22ba4f6b00c3f5dbf1799979
MD5 241e93ce28f89bbfb4259637e9571eb4
BLAKE2b-256 fdf166b840d420b9c37682981f4e0d06b1add172f7019cd637568072aa8956bd

See more details on using hashes here.

Provenance

The following attestation bundles were made for franko-25.5.9-py3-none-any.whl:

Publisher: publish.yml on TheDanielll/franko

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page