{"categories":[{"label":"Text Processing","url":"https://skillfed.io/packages/category/text-processing/2"}],"enrichment":{"capability":"Proces provides text preprocessing functions for cleaning and normalizing text, including whitespace handling, case conversion, traditional-to-simplified Chinese conversion, full-width to half-width character conversion, and sensitive information masking.","skillfed_tags":["chinese-text","text-normalization"],"use_cases":["Normalize mixed-case, mixed-width Chinese text before feeding it into NLP models or search systems.","Remove or mask personally identifiable information like phone numbers and addresses from user-generated text.","Clean whitespace and standardize punctuation in Chinese documents as a preprocessing step for text analysis.","Convert traditional Chinese characters to simplified form in bulk text processing workflows.","Build a text cleaning pipeline by composing individual transformation functions for domain-specific preprocessing."],"what_it_does":"Proces is a text preprocessing library focused on cleaning and normalizing text, particularly for Chinese language content. It provides a pipeline-based approach where you can apply transformations in sequence\u2014such as removing whitespace, converting uppercase to lowercase, converting traditional Chinese characters to simplified, and converting full-width punctuation to half-width\u2014or select individual transformations as needed. The library also includes utilities for masking sensitive information like phone numbers and addresses.\n\nThe package has no external runtime dependencies, making installation lightweight. However, it has been dormant since 2023-09-09, with no recent commits or active maintenance. It supports Python 3.6 through 3.9 and is positioned as a utility for developers working with Chinese text or building preprocessing pipelines that require basic text normalization steps.","worth_installing":"Yes, if you need lightweight Chinese text preprocessing with no external dependencies and can tolerate dormant maintenance. The library is small, permissively licensed, and handles common normalization tasks. No, if you require active maintenance, bug fixes, or support for edge cases\u2014the last update was 2023-09-09. Consider it a stable utility for straightforward preprocessing rather than a foundation for production systems."},"id":"proces","links":{"html":"https://skillfed.io/packages/proces","md":"https://skillfed.io/packages/proces.md","pypi":"https://pypi.org/project/proces/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2023-09-09","license_spdx":null,"license_treatment":"permissive","name":"proces","python_support":"supports_current","summary":"text preprocess."},"popularity":{"monthly_downloads":284077,"position":8069,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.7"}