random-float

Generate random floating-point numbers for your applications.

DecliningOpen SourceLow lock-in

Pricing

Free tier

Flat rate

Adoption

Cooling

License

Open Source

Data freshness

Aging · Jun 8, 2026

Overview

What is random-float?

random-float is a simple and reliable npm package that allows developers to generate random floating-point numbers. This tool is essential for simulations, testing, and any application requiring stochastic behavior.

Key differentiator

random-float stands out by offering a straightforward and efficient way to generate random floating-point numbers in JavaScript projects without the need for complex configurations or dependencies.

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

Generates random floating-point numbers within specified ranges.medium

Easy to integrate into JavaScript projects via npm.medium

Lightweight and efficient.medium

↓ Weaknesses

Limited functionality for complex distributionshigh

random-float only supports uniform distribution and lacks support for other statistical distributions like normal or exponential.

Poor documentation for advanced use casesmedium

The official documentation is basic and does not cover edge cases or complex scenarios, requiring users to dive into the source code for deeper understanding.

Lack of support for seed-based reproducibilityhigh

random-float does not provide a way to set a seed for random number generation, which is crucial for testing and debugging scenarios where consistent results are needed.

Fit analysis

Who is it for?

✓ Best for

Developers needing a simple and reliable way to generate random floating-point numbers within their JavaScript projects.

Test engineers looking for easy-to-use tools for generating stochastic test data.

✕ Not a fit for

Projects requiring complex statistical distributions beyond uniform randomness.

Applications where performance is critical, as this tool may add overhead.

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 random-float

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

View Setup Guide →