Gathering detailed insights and metrics for ml-euclidean-distance
Gathering detailed insights and metrics for ml-euclidean-distance
npm install ml-euclidean-distance
Typescript
Module System
Node Version
NPM Version
65.5
Supply Chain
69.6
Quality
79.8
Maintenance
100
Vulnerability
100
License
TypeScript (100%)
Verify real, reachable, and deliverable emails with instant MX records, SMTP checks, and disposable email detection.
Total Downloads
3,516
Last Day
1
Last Week
3
Last Month
29
Last Year
185
MIT License
5 Stars
9 Commits
1 Forks
10 Watchers
1 Branches
8 Contributors
Updated on Oct 19, 2024
Minified
Minified + Gzipped
Latest Version
1.0.0
Package Id
ml-euclidean-distance@1.0.0
Size
2.02 kB
NPM Version
2.12.1
Node Version
2.3.4
Published on
Jul 11, 2015
Cumulative downloads
Total Downloads
Last Day
0%
1
Compared to previous day
Last Week
0%
3
Compared to previous week
Last Month
45%
29
Compared to previous month
Last Year
8.2%
185
Compared to previous year
3
Compute the euclidean distance between two vectors
$ npm install ml-euclidean-distance
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
64 existing vulnerabilities detected
Details
Score
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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