simple-statistics

What it is

Simple-Statistics is a JavaScript implementation of descriptive, regression, and inference statistics designed to work across all modern browsers and Node.js environments. It's ideal for developers who need to perform statistical calculations without the overhead of larger libraries or dependencies.

Simple-Statistics stands out as a lightweight, dependency-free solution for performing basic statistical analyses in both browser and Node.js environments, making it ideal for developers who need simplicity without sacrificing functionality.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited advanced statistical methods

   Simple-Statistics lacks support for more complex statistical techniques such as multivariate analysis, time series forecasting, and machine learning algorithms.

2. 02

   Small community and slow development pace

   The GitHub repository has limited contributions and infrequent updates compared to other popular JavaScript libraries.

3. 03

   Documentation is not exhaustive

   While the documentation covers basic usage, it lacks detailed examples for complex scenarios and advanced use cases.

4. 04

   Performance may be suboptimal for large datasets

   Simple-Statistics is not optimized for handling very large data sets or high-performance requirements typical in big data applications.

What it does well

• 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.

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.