regression-js

What it is

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.

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.

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 support for advanced statistical methods

   The library primarily focuses on least squares fitting and lacks support for more sophisticated regression techniques like regularization or Bayesian regression.

2. 02

   Performance issues with large datasets

   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.

3. 03

   Small community and limited third-party contributions

   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.

What it does well

• Various least squares fitting methods for data analysis.

• Easy integration into web applications and Node.js projects.

• Comprehensive documentation and examples.

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.