cleanco
Python library to process company names
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction installation with no runtime dependencies.
- Actively maintained with recent commits; last release was 2024-05-15 and the repository shows ongoing activity.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing commercial and private use with minimal restrictions—suitable for most projects.
last release 2024-05-15 (821 days) · last repo commit 2026-06-23 · 360 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,869,129 downloads/mo, #2,471 on PyPI
Alternatives
Verify before relying
pip install cleanco
from cleanco import basename, typesources, matches
business_name = "Some Big Pharma, LLC"
clean_name = basename(business_name) # 'Some Big Pharma'
classification_sources = typesources()
org_types = matches(business_name, classification_sources) # ['Limited Liability Company']- Whether the organization type and country classification databases are regularly updated to reflect new or changed legal entity terms.
- Performance characteristics when processing large batches of company names.
- Coverage of non-English or non-Western business entity types beyond US/UK classifications.
What it is and 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.
The 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
cleanco on PyPI
Before you install
Low friction installation with no runtime dependencies. Actively maintained with recent commits; last release was 2024-05-15 and the repository shows ongoing activity.
License in practice
MIT license is permissive, allowing commercial and private use with minimal restrictions—suitable for most projects.
Quickstart
pip install cleanco
from cleanco import basename, typesources, matches
business_name = "Some Big Pharma, LLC"
clean_name = basename(business_name) # 'Some Big Pharma'
classification_sources = typesources()
org_types = matches(business_name, classification_sources) # ['Limited Liability Company']Verify before relying
- Whether the organization type and country classification databases are regularly updated to reflect new or changed legal entity terms.
- Performance characteristics when processing large batches of company names.
- Coverage of non-English or non-Western business entity types beyond US/UK classifications.
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 821 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,869,129 / month, #2,471 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Topic :: Office/Business |
Evidence: cleanco-2.3-py3-none-any.whl
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