machinelearn

MITLicense declared in the package manifest.

Machine Learning library for the web and Node

Machine LearningJavascriptTypescriptRandomForestensemblestatisticsfeature extrationdatasets
69

Security score

0 known advisories in v2.1.5

OpenSSF Scorecard 3.3/10

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 33/100 (30% weight)

Weekly downloads

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

100

Unpacked size

Size of v2.1.5 on disk after npm install extracts the tarball, as reported by the npm registry.

6.5 MB

Dependencies

Direct runtime dependencies declared by v2.1.5. Transitive dependencies are not counted here — use the lockfile audit for the full tree.

7

Last publish

When v2.1.5 was published to the registry. Long gaps can indicate an unmaintained package.

7 years ago

Security advisories

Vulnerabilities affecting v2.1.5 specifically, from OSV.dev — the open database aggregating the GitHub Advisory Database (GHSA) and CVEs. Links open the full advisory.

No known vulnerabilities affect v2.1.5.

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.

432 total▼ 26.5% vs prior week

Jul 3Aug 1

OpenSSF ScorecardJul 20, 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 3/15 approved changesets -- score normalized to 22
  • Dangerous-WorkflowGitHub Actions workflows avoid dangerous patterns such as untrusted code checkout or script injection.Result: no dangerous workflow patterns detected10
  • Token-PermissionsCI workflow tokens follow least privilege — read-only unless a job needs more.Result: detected GitHub workflow tokens with excessive permissions0
  • 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
  • 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
  • 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 detected10
  • Pinned-DependenciesBuild dependencies are pinned to exact versions or hashes, preventing silent supply-chain swaps.Result: dependency not pinned by hash detected -- score normalized to 00
  • 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