---
id: thefuzz
version: "0.22.1"
license: MIT
license_treatment: permissive
maintenance: aging
---

# thefuzz — Fuzzy string matching in python

License: permissive · Maintenance: aging · Downloads: 10.1M/mo

## What it is and what it does

TheFuzz is a Python library for fuzzy string matching that calculates similarity scores between text sequences using Levenshtein Distance. It wraps the rapidfuzz library to provide a simple interface for finding approximate matches, useful when exact string comparison is too strict—for example, when user input contains typos, extra punctuation, or word reordering.

The package offers multiple matching strategies: basic ratio comparison, partial matching (for substring similarity), token-based sorting and set operations (for word-order-independent matching), and batch processing via the process module to extract best matches from a list of candidates. It's commonly used for data deduplication, search result ranking, record linking, and any scenario where you need to find similar strings despite minor differences.

Use it for:

- Deduplicating database records or user-submitted data that may contain spelling variations or typos.
- Implementing autocomplete or search suggestions that tolerate user input errors.
- Matching song titles, file paths, or product names across datasets with inconsistent formatting.
- Finding the closest match in a list of options for user queries or API requests.
- Data integration tasks where you need to link records from different sources with slightly different text representations.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

TheFuzz performs fuzzy string matching using Levenshtein Distance to find approximate matches between text sequences, with support for multiple matching strategies and batch processing.

Yes, if you need fuzzy matching. The package is straightforward to install, has no security vulnerabilities, and carries a permissive license. However, note that it's aging—the last release was in January 2024—so verify whether the maintainers are still actively developing it or if it's in stable maintenance mode before adopting it for new projects.

## Install

pip install thefuzz
uv add thefuzz
poetry add thefuzz

## Installing thefuzz

Before you install: Low friction install with a single runtime dependency (rapidfuzz). The package is aging—last release was in January 2024—but the repository remains active with recent commits and a stable maintenance posture.

License in practice: MIT license is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.

Quickstart:

pip install thefuzz

from thefuzz import fuzz, process

# Simple ratio comparison
fuzz.ratio("this is a test", "this is a test!")

# Batch extraction
choices = ["Atlanta Falcons", "New York Jets", "Dallas Cowboys"]
process.extract("new york jets", choices, limit=2)

Requires Python 3.8 or higher; rapidfuzz must be installed as a runtime dependency.

Verify before relying:

- Whether the package is actively maintained or in maintenance-only mode given the aging status and last release date.
- Performance characteristics and scalability limits for large-scale batch matching operations.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: aging
- Downloads: 10.1M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

fuzzy string matching, levenshtein distance, approximate text matching, string similarity scoring, fuzzy search, text matching algorithm, sequence comparison, string-matching, text-processing, data-deduplication

[View on SkillFed](https://skillfed.io/packages/thefuzz) · [View on PyPI](https://pypi.org/project/thefuzz/)