machinejs

MITLicense declared in the package manifest.

Automated machine learning structure. Ensembles random forests, XGBoost, neural networks, AdaBoost, KNN, SVM together, handling data formatting ensembling, and running predictions for you. Feel free to tweak the settings if you want a lot of control, or j

neuralNetneural networkmachine learningmlalgorithmsrandom forestsvmnaive bayes
64

Security score

0 known advisories in v0.9.5

OpenSSF Scorecard 1.5/10

0-100 score computed by this site from verifiable signals only: known OSV.dev advisories affecting this exact version, how recently it was published, and the repository's OpenSSF Scorecard.advisory penalty −0 · staleness penalty −15 · scorecard component 15/100 (30% weight)

Weekly downloads

Downloads across all versions in the last 7 days, from the official npm downloads API (api.npmjs.org).

13

Unpacked size

Size of v0.9.5 on disk after npm install extracts the tarball, as reported by the npm registry.

—

Dependencies

Direct runtime dependencies declared by v0.9.5. Transitive dependencies are not counted here — use the lockfile audit for the full tree.

8

Last publish

When v0.9.5 was published to the registry. Long gaps can indicate an unmaintained package.

10 years ago

Security advisories

Vulnerabilities affecting v0.9.5 specifically, from OSV.dev — the open database aggregating the GitHub Advisory Database (GHSA) and CVEs. Links open the full advisory.

No known vulnerabilities affect v0.9.5.

Downloads — last 30 days

Daily download counts across all versions for the last 30 days, from the npm downloads API. Weekend dips are normal for developer tooling.

119 total▼ 23.5% vs prior week

Aug 21Sep 19

OpenSSF ScorecardAug 24, 2026

OpenSSF Scorecard is an automated audit of the source repository's security practices, run by the Open Source Security Foundation. Each check scores 0-10; hover a check for what it means. Data via deps.dev.
  • MaintainedThe project shows recent activity: commits or issue triage within the last 90 days.Result: 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 00
  • Code-ReviewChanges are reviewed by another maintainer before landing on the main branch.Result: Found 2/28 approved changesets -- score normalized to 00
  • CII-Best-PracticesThe project holds an OpenSSF Best Practices badge, a self-certification of security practices.Result: no effort to earn an OpenSSF best practices badge detected0
  • Binary-ArtifactsNo compiled binaries are committed to the repository — binaries can't be reviewed and may hide malicious code.Result: no binaries found in the repo10
  • Security-PolicyA SECURITY.md explains how to report vulnerabilities privately.Result: security policy file not detected0
  • FuzzingThe project is fuzz-tested (e.g. OSS-Fuzz), which finds crashes and memory bugs automatically.Result: project is not fuzzed0
  • LicenseThe project publishes a license file.Result: license file not detected0
  • Branch-ProtectionThe default branch is protected: force pushes are blocked and changes require review before merging.Result: branch protection not enabled on development/release branches0
  • SASTStatic analysis (e.g. CodeQL) runs on pull requests to catch bugs before merge.Result: SAST tool is not run on all commits -- score normalized to 00