{"categories":[{"label":"Office/Business","url":"https://skillfed.io/packages/category/office-business"}],"enrichment":{"capability":"Cleanco strips legal suffixes (Ltd, Corp, LLC, etc.) from company names and classifies organization types and possible jurisdictions based on those terms.","skillfed_tags":["data-cleaning","company-metadata","text-normalization"],"use_cases":["Normalize company names in CRM or database records by removing legal suffixes for consistent matching and deduplication.","Classify business entity types from company names in bulk data imports or company research workflows.","Infer possible countries of incorporation from company name suffixes to enrich company metadata.","Clean company names in financial or procurement datasets before aggregation or reporting.","Deduplicate company records by comparing cleaned base names across multiple data sources."],"what_it_does":"Cleanco is a Python library for standardizing and analyzing company names. It removes legal suffixes and organizational type indicators (such as \"Ltd.\", \"Corp\", \"LLC\") from company names to produce a clean base name, and uses a built-in database of organization type terms to classify the business entity type (e.g., \"limited liability company\") and infer possible jurisdictions of establishment.\n\nThe package is designed for data cleaning and enrichment workflows where you need to normalize company names across datasets or deduce organizational structure from name alone. It has no external runtime dependencies, making it lightweight to integrate. The library supports custom term databases if you need to extend or override the default classifications.","worth_installing":"Yes. Cleanco is actively maintained, has no dependencies, installs easily, carries a permissive MIT license, and solves a real data-cleaning problem for anyone working with company names. The library is well-established (first released in 2015) and popular (top 5000 on PyPI). No known security vulnerabilities. Install it if you need to normalize or classify company names in bulk."},"id":"cleanco","links":{"html":"https://skillfed.io/packages/cleanco","md":"https://skillfed.io/packages/cleanco.md","pypi":"https://pypi.org/project/cleanco/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2024-05-15","license_spdx":null,"license_treatment":"permissive","name":"cleanco","python_support":"unspecified","summary":"Python library to process company names"},"popularity":{"monthly_downloads":3869129,"position":2471,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2.3"}