simple-statistics vs mathjs

Side-by-side — pricing, strengths, tradeoffs, and fit.

simple-statistics

A lightweight JavaScript library for statistical analysis in browsers and Node.js.

mathjs

An extensive math library for JavaScript and Node.js with support for symbolic computation.

At a glance

Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
● Established·From $0

Overview

One-liner

A lightweight JavaScript library for statistical analysis in browsers and Node.js.

One-liner

An extensive math library for JavaScript and Node.js with support for symbolic computation.

Maturity

Established

Maturity

Established

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Web developers who need to perform simple statistical analyses directly in the browser without additional dependencies.
Node.js developers looking for a lightweight library to handle basic statistical calculations.

✓ Best for

Web developers who need to perform complex mathematical operations in their JavaScript applications.
Educational software developers requiring a robust math library with symbolic computation support.
Data analysts working on projects that require advanced numerical and symbolic processing.

Not ideal for

✕ Not for

Complex data analysis tasks that require advanced statistical methods or large datasets.
Projects requiring real-time processing of streaming data with high throughput.

✕ Not for

Projects needing real-time, high-performance numerical computations where speed is critical.
Applications that require heavy integration with specific frameworks not supported by MathJS.

Strengths

↑ Strengths

Lightweight and dependency-free implementation of statistical methods.
Works seamlessly across all modern browsers including Internet Explorer.
Designed for both client-side web applications and Node.js environments.

↑ Strengths

Support for symbolic computation and numerical operations.
Extensive mathematical functions including trigonometry, logarithms, and complex numbers.
Flexible expression parser with support for custom operators and functions.
Integration with JavaScript's native Math library.

Weaknesses

↓ Weaknesses

Limited advanced statistical methods
Small community and slow development pace
Documentation is not exhaustive
Performance may be suboptimal for large datasets

↓ Weaknesses

Limited performance for heavy numerical computations compared to specialized libraries like NumPy
Documentation lacks depth in explaining advanced features
Community and support are relatively smaller compared to more established libraries
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