{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/9"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/19"},{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic/2"}],"enrichment":{"capability":"Urduhack provides NLP preprocessing, tokenization, part-of-speech tagging, and named entity recognition for Urdu text, built on TensorFlow and designed to work with Urdu language datasets.","skillfed_tags":["urdu-language","nlp-toolkit","tensorflow-based"],"use_cases":["Extract part-of-speech tags and named entities from Urdu text documents for linguistic analysis or information extraction tasks.","Preprocess and normalize Urdu text at scale before feeding it into downstream machine learning models.","Build a rapid prototype of an Urdu NLP application using pre-trained models without implementing tokenization and tagging from scratch.","Conduct academic research on Urdu language processing with production-quality code structure and pre-built datasets.","Tokenize Urdu sentences and words for text analysis, search indexing, or language study applications."],"what_it_does":"Urduhack is a NLP library tailored for the Urdu language, offering a pipeline-based approach to common text processing tasks. It wraps TensorFlow models for part-of-speech tagging and named entity recognition, alongside utilities for normalization, preprocessing, and tokenization. The library is designed to lower the barrier to entry for academic researchers, NLP beginners, and developers building production applications with Urdu text.\n\nThe package depends on tf2crf, tensorflow-datasets, Click, and regex. It ships as a pure Python wheel with low install friction. However, the project is dormant\u2014no releases since 2020 and commits only through early 2024\u2014meaning you should expect no active maintenance, bug fixes, or compatibility updates for newer Python or TensorFlow versions.","worth_installing":"Yes, if you are working specifically with Urdu text and can tolerate dormant maintenance. The library offers genuine value for NLP tasks on Urdu data and has low install friction. However, verify that its TensorFlow dependencies and pre-trained models work in your environment\u2014no active maintenance means you may need to patch compatibility issues yourself or pin older dependency versions. Not suitable if you need ongoing support or expect regular updates."},"id":"urduhack","links":{"html":"https://skillfed.io/packages/urduhack","md":"https://skillfed.io/packages/urduhack.md","pypi":"https://pypi.org/project/urduhack/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2020-07-06","license_spdx":null,"license_treatment":"permissive","name":"urduhack","python_support":"supports_current","summary":"Natural Language Processing (NLP) library for Urdu language."},"popularity":{"monthly_downloads":118230,"position":12129,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.1.1"}