Gathering detailed insights and metrics for ml-distance-euclidean
Gathering detailed insights and metrics for ml-distance-euclidean
Gathering detailed insights and metrics for ml-distance-euclidean
Gathering detailed insights and metrics for ml-distance-euclidean
npm install ml-distance-euclidean
Typescript
Module System
Node Version
NPM Version
TypeScript (100%)
Total Downloads
0
Last Day
0
Last Week
0
Last Month
0
Last Year
0
MIT License
5 Stars
9 Commits
1 Forks
10 Watchers
1 Branches
8 Contributors
Updated on Oct 19, 2024
Latest Version
2.0.0
Package Id
ml-distance-euclidean@2.0.0
Size
2.35 kB
NPM Version
6.2.0
Node Version
11.0.0-v8-canary201808081fbac700e9
Published on
Aug 12, 2018
Cumulative downloads
Total Downloads
Last Day
0%
NaN
Compared to previous day
Last Week
0%
NaN
Compared to previous week
Last Month
0%
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Last Year
0%
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7
Compute the euclidean distance between two vectors
$ npm install ml-distance-euclidean
1const { euclidean, squaredEuclidean } = require('ml-distance-euclidean'); 2 3euclidean([0, 1, 4, 6, 2], [3, 6, 9, 4, 3]); // 8
Returns the Euclidean distance between vectors p and q.
Returns the squared Euclidean distance between vectors p and q.
No vulnerabilities found.
Reason
no binaries found in the repo
Reason
license file detected
Details
Reason
Found 0/8 approved changesets -- score normalized to 0
Reason
0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Reason
no effort to earn an OpenSSF best practices badge detected
Reason
project is not fuzzed
Details
Reason
branch protection not enabled on development/release branches
Details
Reason
security policy file not detected
Details
Reason
SAST tool is not run on all commits -- score normalized to 0
Details
Reason
65 existing vulnerabilities detected
Details
Score
Last Scanned on 2025-07-07
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