simple-statistics
A lightweight JavaScript library for statistical analysis in browsers and Node.js.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is simple-statistics?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Simple-Statistics lacks support for more complex statistical techniques such as multivariate analysis, time series forecasting, and machine learning algorithms.
The GitHub repository has limited contributions and infrequent updates compared to other popular JavaScript libraries.
While the documentation covers basic usage, it lacks detailed examples for complex scenarios and advanced use cases.
Simple-Statistics is not optimized for handling very large data sets or high-performance requirements typical in big data applications.
Fit analysis
Who is it 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.
✕ Not a fit for
Complex data analysis tasks that require advanced statistical methods or large datasets.
Projects requiring real-time processing of streaming data with high throughput.
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
Alternatives
Integrations
Next step
Get Started with simple-statistics
Step-by-step setup guide with code examples and common gotchas.