regression-js
JavaScript library for least squares fitting methods.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is regression-js?
Regression-js is a JavaScript library that provides various least squares fitting methods to find trends in data sets, making it useful for developers and data scientists working with statistical analysis in web applications.
Key differentiator
“Regression-js stands out as a lightweight, easy-to-integrate JavaScript library that provides robust least squares fitting methods without the need for complex setup or external dependencies.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The library primarily focuses on least squares fitting and lacks support for more sophisticated regression techniques like regularization or Bayesian regression.
Regression-js may become slow when processing very large datasets due to its in-memory computation approach, which can lead to increased memory usage and slower execution times.
The library has a relatively small user base and few contributors, leading to fewer bug fixes, feature requests, and community support compared to more popular statistical libraries.
Fit analysis
Who is it for?
✓ Best for
Web developers needing to integrate statistical models into their projects.
Data analysts working with JavaScript who require least squares fitting methods.
✕ Not a fit for
Projects requiring real-time data processing and analysis beyond the capabilities of a library.
Users looking for a full-service analytics platform rather than a specialized library.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
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Ecosystem
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Next step
Get Started with regression-js
Step-by-step setup guide with code examples and common gotchas.