{"categories":[{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic/3"}],"enrichment":{"capability":"Adds a spaCy pipeline component that identifies date entities in text using regex and converts them to structured datetime objects via dateparser, storing results in a custom token extension.","skillfed_tags":["nlp","date-extraction","abandoned"],"use_cases":["Extract and normalize dates from unstructured text in documents or emails for downstream processing.","Build a temporal information extraction pipeline as part of a larger spaCy NLP workflow.","Convert informal date expressions (e.g., 'twelfth of October') into machine-readable datetime objects for database storage.","Augment spaCy's default entity recognition with specialized date handling before applying other NER models."],"what_it_does":"Date spaCy is a lightweight spaCy pipeline component that finds date expressions in text and converts them to structured datetime objects. It works by applying regex patterns to locate date strings, then passes them to dateparser for parsing into standardized datetime format. The parsed result is attached to each matched entity via a custom `._.date` extension, making it accessible during spaCy's standard entity iteration.\n\nThe component is designed to integrate into existing spaCy pipelines (ideally before the NER model) or to run on a blank model. Its main limitation is that dates without an explicit year default to the current year. Since the package is abandoned with no releases after August 2023, it is best suited for projects with stable, unchanging requirements and no expectation of upstream maintenance.","worth_installing":"Yes, if your date extraction needs are simple and stable. The package is low-friction to install and has no known vulnerabilities. However, it is abandoned (last updated 2023-08-24) with no ongoing maintenance, so install only if the fixed functionality is sufficient and you do not expect bug fixes or compatibility updates with future spacy or dateparser versions."},"id":"date-spacy","links":{"html":"https://skillfed.io/packages/date-spacy","md":"https://skillfed.io/packages/date-spacy.md","pypi":"https://pypi.org/project/date-spacy/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2023-08-24","license_spdx":null,"license_treatment":"permissive","name":"date-spacy","python_support":"unspecified","summary":"A spaCy extension for enhanced date and number entity recognition and extraction as structured data."},"popularity":{"monthly_downloads":89185,"position":13675,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.1"}