nicknames
Hand-curated dataset of English names and nicknames.
Decision gist · record as of 2026-08-14
Yes. The package is lightweight, actively maintained, has no dependencies, and solves a real problem in data cleaning and name matching. Use it when you need reliable nickname-to-canonical mappings for English names; skip it if you need multilingual support or algorithmic name similarity.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with no runtime dependencies.
- Actively maintained as of 2026-08-13 with 324 repository stars and recent releases.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions.
last release 2026-03-06 (161 days) · last repo commit 2026-08-13 · 324 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 276,918 downloads/mo, #8,156 on PyPI
Alternatives
Verify before relying
from nicknames import NickNamer
nn = NickNamer()
nicks = nn.nicknames_of("Alexander")
print(nicks) # {'al', 'alex', ...}
can = nn.canonicals_of("al")
print(can) # {'alexander', 'alex', ...}- Dataset size and coverage of English names beyond what the description excerpt shows
- Performance characteristics when querying large numbers of names
- Whether custom data loading is practical for non-standard name sets
What it is and what it does
Nicknames is a Python wrapper around a hand-curated CSV dataset mapping English given names to their nicknames. It provides two main query methods: looking up nicknames for a canonical name (e.g., 'Alexander' → {'al', 'alex', ...}) and looking up canonical names for a nickname (e.g., 'al' → {'alexander', 'alex', ...}). The package handles case-insensitivity and whitespace normalization automatically. It has no external runtime dependencies, making it lightweight to install and use.
The dataset is curated rather than algorithmically generated, which means it reflects real-world name relationships but is limited to names already in the CSV. The package is useful for applications that need to recognize name variants—such as contact deduplication, user profile matching, or name normalization in data pipelines—where you want to treat 'Bob' and 'Robert' as the same person.
Use it for
- Deduplicating user records by recognizing that 'Bob Smith' and 'Robert Smith' refer to the same person
- Normalizing contact names in CRM or email systems to group nickname variants under a canonical form
- Validating or enriching user input by suggesting canonical names when a nickname is entered
- Building name-matching logic for data integration or ETL workflows
- Genealogy or family tree applications that need to recognize name relationships
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is lightweight, actively maintained, has no dependencies, and solves a real problem in data cleaning and name matching. Use it when you need reliable nickname-to-canonical mappings for English names; skip it if you need multilingual support or algorithmic name similarity.
Install
nicknames on PyPI
Before you install
Low install friction with no runtime dependencies. Actively maintained as of 2026-08-13 with 324 repository stars and recent releases.
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions.
Quickstart
from nicknames import NickNamer
nn = NickNamer()
nicks = nn.nicknames_of("Alexander")
print(nicks) # {'al', 'alex', ...}
can = nn.canonicals_of("al")
print(can) # {'alexander', 'alex', ...}Verify before relying
- Dataset size and coverage of English names beyond what the description excerpt shows
- Performance characteristics when querying large numbers of names
- Whether custom data loading is practical for non-standard name sets
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 161 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 276,918 / month, #8,156 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Information AnalysisTopic :: Sociology :: GenealogyTopic :: Software Development :: LibrariesTopic :: Text ProcessingTopic :: Text Processing :: LinguisticTyping :: Typed |
Evidence: nicknames-1.0.1-py3-none-any.whl
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