Package Health Score

42 / 100

security
No known security issues
popularity
Limited
maintenance
Inactive
community
Limited

Explore Similar Packages

Security

No known security issues

All security vulnerabilities belong to production dependencies of direct and indirect packages.

Security and license risk for significant versions

Version				Vulnerabilities	License Risk
2.0.0	\|	04/2024		0 C 0 H 0 M 0 L	0 H 0 M 0 L
1.1.0	\|	02/2021	Popular	0 C 0 H 0 M 0 L	0 H 0 M 0 L
1.0.4	\|	05/2020		0 C 0 H 0 M 0 L	0 H 0 M 0 L

License

MIT

Security Policy

Is your project affected by vulnerabilities?

Scan your projects for vulnerabilities. Fix quickly with automated fixes. Get started with Snyk for free.

Get started free

Popularity

Limited

Weekly Downloads (225)

GitHub Stars: 11
Forks: 3
Contributors: -

Direct Usage Popularity

The npm package polynomial-regression receives a total of 225 downloads a week. As such, we scored polynomial-regression popularity level to be Limited.

Based on project statistics from the GitHub repository for the npm package polynomial-regression, we found that it has been starred 11 times.

Downloads are calculated as moving averages for a period of the last 12 months, excluding weekends and known missing data points.

Community

Limited

Readme.md: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 0
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like polynomial-regression is missing a Code of Conduct.

Embed Package Health Score Badge

Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 0
Open PR: 0
Last Release: 2 years ago
Last Commit: 2 years ago

Further analysis of the maintenance status of polynomial-regression based on released npm versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for polynomial-regression is that it hasn't seen any new versions released to npm in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Keep your project healthy

Check your package.json

Ensure all the packages you're using are healthy and well-maintained

Snyk Vulnerability Scanner

Get health score & security insights directly in your IDE

Package

Node.js Compatibility: not defined

Age: 6 years
Dependencies: 0 Direct
Versions: 7
Install Size: 358 kB
Dist-tags: 1
# of Files: 10
Maintainers: 1
TS Typings: No

polynomial-regression has more than a single and default latest tag published for the npm package. This means, there may be other tags available for this package, such as next to indicate future releases, or stable to indicate stable releases.

Readme

polynomial-regression

Model generator based on the method of least squares.

Usage

There is a unique entry-point, the createModel method.

Once we have created our model we can fit it by feeding it with data and specifying the desired degree/s of our resulting model/s.

The API is designed in a way that allows creating different models based on each degree at the same time. Instead of having a fixed estimation function, we have an internal object where we are going to store the corresponding coefficients for each degree. This way we can easily compare which degree suits best our problem by calling the estimate function specifying the different degrees.

Let's illustrate its usage with a simple example. We are given these data points. We have them stored as an array of [x,y] values:

const data = [ [ 1, 2.4 ],  [ 1.5, 2.6 ], [ 2, 3 ], [ 2.5, 3.2 ] ... ];

Image of Data Points We want to find a model that allows us to interpolate or estimate unknown values according to this information. In this example, we are going to use a low degree (3) and a higher one (20).

The code would look as follows:

const { createModel } = require('polynomial-regression');
const { data } = require('./example_dataset');

const model = createModel();

model.fit(data, [3,20]);

model.estimate(3,unknownXValue);
model.estimate(20,unknownXValue);

model.saveExpressions('./expressionsForGraphs.json');

The file saved looks like this:

{
  "3": "+1.5062596662599177*x^0+1.425302045761659*x^1 ... "
  "20": "+66.40442892021944*x^0-204.3486735913864*x^1 ... "
}

And we can easily copy&paste those strings and plot the corresponding functions. Image of Degrees and fitting process

API Reference

Method	Description	Arguments to be passed
fit	Calculates coefficients for each degree provided and stores them internally	Data >, Degrees >
estimate	Returns the estimated value	Degree , xValue \
loadParams	Loads precalculated coefficients merging them into the current model internal store	Path \
saveParams	Save the current model coefficients in a JSON file	Path \
saveExpressions	Turn the current model coefficients into reusable expressions and save them in a JSON file	Path \
expressions	Turn the current model coefficients into reusable expressions and return them as a variable	None

polynomial-regression development dependencies

eslint jest

FAQs

What is polynomial-regression?

Model generator based on the method of least squares. Visit Snyk Advisor to see a full health score report for polynomial-regression, including popularity, security, maintenance & community analysis.

Is polynomial-regression popular?

The npm package polynomial-regression receives a total of 225 weekly downloads. As such, polynomial-regression popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is polynomial-regression well maintained?

We found indications that polynomial-regression is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is polynomial-regression safe to use?

The npm package polynomial-regression was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 6 December-2025, at 13:06 (UTC).

Build a secure application checklist

Select a recommended open source package

Minimize your risk by selecting secure & well maintained open source packages

DONE

Scan your app for vulnerabilities

Scan your application to find vulnerabilities in your: source code, open source dependencies, containers and configuration files

SCAN NOW

Fix identified vulnerabilities

Easily fix your code by leveraging automatically generated PRs

AUTO FIX

Monitor for new issues

New vulnerabilities are discovered every day. Get notified if your application is affected

MONITOR APP

polynomial-regression

Model generator based on the method of least squares. For more information about how to use this package see README

Ensure you're using the healthiest npm packages

Package Health Score

Explore Similar Packages

Security

Security and license risk for significant versions

Is your project affected by vulnerabilities?

Popularity

Weekly Downloads (225)

Direct Usage Popularity

Community

Embed Package Health Score Badge

Maintenance

Commit Frequency

Keep your project healthy

Check your package.json

Snyk Vulnerability Scanner

Package

Readme

polynomial-regression

Usage

API Reference

polynomial-regression development dependencies

FAQs

What is polynomial-regression?

Is polynomial-regression popular?

Is polynomial-regression well maintained?

Is polynomial-regression safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Security and license risk for significant versions

Is your project affected by vulnerabilities?

Weekly Downloads (225)

Direct Usage Popularity

Embed Package Health Score Badge

Commit Frequency

Keep your project healthy

Check your package.json

Snyk Vulnerability Scanner

Readme

polynomial-regression

Usage

API Reference

polynomial-regression development dependencies

FAQs

What is polynomial-regression?

Is polynomial-regression popular?

Is polynomial-regression well maintained?

Is polynomial-regression safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues