leven

Measure string differences with Levenshtein distance algorithm.

EstablishedOpen SourceLow lock-in

Pricing

Free tier

Flat rate

Adoption

Cooling

License

Open Source

Data freshness

Aging · Jun 8, 2026

Overview

What is leven?

Leven is a JavaScript library that calculates the difference between two strings using the Levenshtein distance algorithm, useful for applications requiring text comparison and similarity measurement.

Key differentiator

Leven stands out as a lightweight, efficient JavaScript library specifically tailored for calculating Levenshtein distance, making it ideal for developers looking to integrate basic text similarity metrics into their applications without additional complexity.

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

Calculates Levenshtein distance between two strings.medium

Optimized for performance and efficiency in JavaScript environments.medium

↓ Weaknesses

Limited functionality for complex text comparison taskshigh

Leven only provides Levenshtein distance calculation and lacks advanced features such as fuzzy matching, phonetic algorithms, or semantic similarity measures.

Performance may degrade with very large stringsmedium

The algorithm's time complexity is O(n*m) where n and m are the lengths of the two strings. This can lead to performance issues when comparing very long texts.

Small community support and limited documentationhigh

As an open-source project, Leven may not have extensive community contributions or comprehensive documentation, which can hinder troubleshooting and learning.

Fit analysis

Who is it for?

✓ Best for

JavaScript developers who need to implement string distance calculations efficiently and accurately.

Projects requiring text comparison functionalities without the overhead of external dependencies.

✕ Not a fit for

Applications needing more complex natural language processing capabilities beyond simple string comparison.

Scenarios where a full-fledged machine learning library is required for advanced text analysis.

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with leven

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →