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Gathering detailed insights and metrics for ml-distance-matrix

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vector-cosine-similarity

1.8.0

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ml-distance-matrix

Compute a distance-matrix based on a custom distance function

2.0.1

MIT

JavaScript

260.00 B

393,003 3.4

Installations

npm install ml-distance-matrix

Developer Guide

BETA

Typescript

Yes

Module System

CommonJS

Node Version

13.12.0

NPM Version

6.14.4 Score

76.9

Supply Chain

75.3

Quality

82.3

Maintenance

100

Vulnerability

100

License

Pull Requests

Open

0

Total

1

Closed

0

Merged

1

Issues

Open

0

Total

1

Closed

1

Releases

Unable to fetch releases

Contributors

Unable to fetch Contributors

View All 9 Contributors

Languages

JavaScript

JavaScript (100%)

validate.email 🚀

Verify real, reachable, and deliverable emails with instant MX records, SMTP checks, and disposable email detection.

Developer

mljs

Download Statistics

Total Downloads

393,003

Last Day

373

Last Week

3,179

Last Month

12,648

Last Year

110,048

GitHub Statistics

MIT License

4 Stars

17 Commits

1 Forks

7 Watchers

1 Branches

9 Contributors

Updated on Feb 23, 2024

Bundle Size

436.00 B

Minified

260.00 B

Minified + Gzipped

Bundlephobia

Maintainers

Package Meta Information

Latest Version

2.0.1

Package Id

ml-distance-matrix@2.0.1

Unpacked Size

6.40 kB

Size

2.59 kB

File Count

NPM Version

6.14.4

Node Version

13.12.0

Total Downloads

Cumulative downloads

Total Downloads

393,003

Last Day

58.1%

373

Compared to previous day

Last Week

-8.1%

3,179

Compared to previous week

Last Month

57.9%

12,648

Compared to previous month

Last Year

-22.9%

110,048

Compared to previous year

Daily Downloads

Weekly Downloads

Monthly Downloads

Yearly Downloads

Dev Dependencies

@babel/plugin-transform-modules-commonjs eslint eslint-config-cheminfo eslint-plugin-import eslint-plugin-jest eslint-plugin-prettier jest prettier rollup

distance-matrix

Compute a distance/similarity matrix.

Installation

npm i ml-distance-matrix

API Documentation

Example

1const distanceMatrix = require('ml-distance-matrix');
2const { euclidean } = require('ml-distance-euclidean');
3
4// Computes euclidan distance for each pair of possible vectors
5const matrix = distanceMatrix([[8, -1, 2], [-4, 0, 3], [-3, -1, 6]], euclidean);

License

MIT

No vulnerabilities found.

10

Binary-Artifacts

Determines if the project has generated executable (binary) artifacts in the source repository.

10

Dangerous-Workflow

Determines if the project's GitHub Action workflows avoid dangerous patterns.

10

Vulnerabilities

Determines if the project has open, known unfixed vulnerabilities.

10

License

Determines if the project has defined a license.

0

Code-Review

Determines if the project requires human code review before pull requests (aka merge requests) are merged.

0

Maintained

Determines if the project is "actively maintained".

0

Pinned-Dependencies

Determines if the project has declared and pinned the dependencies of its build process.

0

Token-Permissions

Determines if the project's workflows follow the principle of least privilege.

0

CII-Best-Practices

Determines if the project has an OpenSSF (formerly CII) Best Practices Badge.

0

Fuzzing

Determines if the project uses fuzzing.

0

Branch-Protection

Determines if the default and release branches are protected with GitHub's branch protection settings.

0

Security-Policy

Determines if the project has published a security policy.

0

SAST

Determines if the project uses static code analysis.

Score

3.4

/10

Last Scanned on 2025-03-03

The Open Source Security Foundation is a cross-industry collaboration to improve the security of open source software (OSS). The Scorecard provides security health metrics for open source projects.

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