---
id: cucumber-expressions
version: "20.1.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# cucumber-expressions — Cucumber Expressions - a simpler alternative to Regular Expressions

License: permissive · Maintenance: active · Downloads: 3.6M/mo

## What it is and what it does

Cucumber Expressions is a pattern-matching library designed for behavior-driven development that replaces regular expressions with a more intuitive, human-readable syntax. It parses expressions like "I have {count} cucumbers" into structured patterns that can extract and validate test step parameters, making test definitions easier to write and understand compared to regex-based approaches.

The library has no external runtime dependencies and supports modern Python versions (3.10 through 3.14). It is actively maintained by the Cucumber project and positioned as a core component for BDD test frameworks that need readable, maintainable step definitions.

Use it for:

- Write readable step definitions in BDD test suites without learning complex regex syntax
- Parse and extract parameters from Gherkin-style test steps in behavior-driven tests
- Build custom test frameworks that need human-friendly pattern matching for step matching
- Integrate with Cucumber-based testing tools to standardize step expression syntax

## Worth the install?

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

Cucumber Expressions provides a simpler, more readable alternative to regular expressions for pattern matching in behavior-driven development (BDD) test frameworks, with an intuitive syntax designed for test step definitions.

Yes. The package is actively maintained, has no dependencies, supports current Python versions, carries a permissive MIT license, and fills a genuine need in BDD testing by offering a more readable alternative to regex for test step definitions. Install it if you're building or using BDD test frameworks.

## Install

pip install cucumber-expressions
uv add cucumber-expressions
poetry add cucumber-expressions

## Installing cucumber-expressions

Before you install: Low install friction with no runtime dependencies. Actively maintained with a recent release (9 days old) and steady repository activity.

License in practice: MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.

Quickstart:

pip install cucumber-expressions

from cucumber_expressions import CucumberExpressionParser

parser = CucumberExpressionParser()
expression = parser.parse("I have {count} cucumbers")

Requires Python 3.10 or later.

Verify before relying:

- Whether the parser handles custom parameter types beyond built-in types
- Performance characteristics when parsing complex expressions at scale
- Integration examples with specific BDD frameworks (pytest-bdd, behave, etc.)

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 3.6M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

BDD step definition patterns, cucumber expressions alternative to regex, behavior driven development testing, readable test step matching, cucumber gherkin expressions, bdd-testing, pattern-matching

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