rigour
Financial crime domain data validation and normalization library.
Decision gist · record as of 2026-08-14
Yes. Rigour is actively maintained, has no known vulnerabilities, supports current Python versions, and provides production-tested implementations for a specific but important domain (business data validation). The medium install friction is offset by comprehensive platform coverage and the consolidation of multiple specialized libraries into one package. Install if you work with business entity data, compliance systems, or international business records.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; wheels include Rust-compiled components.
- Medium install friction due to compiled wheels for multiple Python versions and platforms (3.10–3.14, including Rust components).
- Active maintenance with a release 15 days ago and no known vulnerabilities.
License · maintenance · safety
permissive license (permissive) — MIT license permits unrestricted use, modification, and distribution in both open and proprietary projects with minimal restrictions.
last release 2026-07-30 (15 days) · last repo commit 2026-08-13 · 65 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 135,009 downloads/mo, #11,455 on PyPI
Alternatives
Verify before relying
pip install rigour
from rigour.names import normalize_name
from rigour.countries import country_name
normalized = normalize_name('John Doe')
country = country_name('US')- Whether the package handles all major business identifier standards (tax IDs, corporate registration numbers) or a subset.
- Performance characteristics when processing large datasets or real-time validation scenarios.
- Completeness of address formatting coverage across all countries and territories.
What it is and what it does
Rigour is a data validation and normalization library designed for the financial crime and business intelligence domain. It consolidates production-tested implementations for handling human names, company names, language codes, country and territory identifiers, corporate and tax identifiers, and address formatting. The package addresses the gap between simple text handling and the complex edge cases that emerge in production systems—handling name variations, corporate entity formats, multilingual inputs, and standardized codes across jurisdictions.
The library depends on pyyaml, normality, prefixdate, orjson, python-stdnum, and jinja2 to provide its validation and normalization capabilities. It's actively maintained, supports Python 3.10 through 3.14, and includes pre-compiled wheels for macOS, Linux, and Windows architectures. The package is part of the OpenSanctions ecosystem and consolidates several older libraries (languagecodes, pantomime, fingerprints) into a single codebase.
Use it for
- Normalize and validate company and individual names in financial crime compliance systems or sanctions screening workflows.
- Standardize country, language, and territory codes in international business data pipelines.
- Format addresses according to local customs for a given country in mail or document generation systems.
- Validate corporate and tax identifiers (e.g., VAT numbers, registration IDs) in accounting or regulatory reporting systems.
- Clean and deduplicate business entity records from multiple sources with varying name formats and conventions.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Rigour is actively maintained, has no known vulnerabilities, supports current Python versions, and provides production-tested implementations for a specific but important domain (business data validation). The medium install friction is offset by comprehensive platform coverage and the consolidation of multiple specialized libraries into one package. Install if you work with business entity data, compliance systems, or international business records.
Install
rigour on PyPI
Before you install
Medium install friction due to compiled wheels for multiple Python versions and platforms (3.10–3.14, including Rust components). Active maintenance with a release 15 days ago and no known vulnerabilities.
Requires Python 3.10 or later; wheels include Rust-compiled components.
License in practice
MIT license permits unrestricted use, modification, and distribution in both open and proprietary projects with minimal restrictions.
Quickstart
pip install rigour
from rigour.names import normalize_name
from rigour.countries import country_name
normalized = normalize_name('John Doe')
country = country_name('US')Verify before relying
- Whether the package handles all major business identifier standards (tax IDs, corporate registration numbers) or a subset.
- Performance characteristics when processing large datasets or real-time validation scenarios.
- Completeness of address formatting coverage across all countries and territories.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 6 packagespyyamlnormalityprefixdateorjsonpython-stdnumjinja2 |
| Maintenance | Actively maintained 15 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 135,009 / month, #11,455 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Rust |
Evidence: rigour-2.3.1-cp310-cp310-macosx_10_12_x86_64.whl; rigour-2.3.1-cp310-cp310-macosx_11_0_arm64.whl; rigour-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; rigour-2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; rigour-2.3.1-cp310-cp310-musllinux_1_2_aarch64.whl; rigour-2.3.1-cp310-cp310-musllinux_1_2_x86_64.whl; rigour-2.3.1-cp310-cp310-win_amd64.whl; rigour-2.3.1-cp311-cp311-macosx_10_12_x86_64.whl; rigour-2.3.1-cp311-cp311-macosx_11_0_arm64.whl; rigour-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; rigour-2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; rigour-2.3.1-cp311-cp311-musllinux_1_2_aarch64.whl; rigour-2.3.1-cp311-cp311-musllinux_1_2_x86_64.whl; rigour-2.3.1-cp311-cp311-win_amd64.whl; rigour-2.3.1-cp312-cp312-macosx_10_12_x86_64.whl; rigour-2.3.1-cp312-cp312-macosx_11_0_arm64.whl; rigour-2.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; rigour-2.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; rigour-2.3.1-cp312-cp312-musllinux_1_2_aarch64.whl; rigour-2.3.1-cp312-cp312-musllinux_1_2_x86_64.whl
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