Is ml-random-forest safe to use?

ml-random-forest has no known vulnerabilities on the latest version (2.1.0). DepScope rates its health at 53/100 (high risk).

What is the latest version of ml-random-forest?

The latest version of ml-random-forest is 2.1.0, released 2022-01-27.

Does ml-random-forest have known vulnerabilities?

No known vulnerabilities on the latest version of ml-random-forest.

Is ml-random-forest deprecated?

No, ml-random-forest is actively maintained. Latest release: 2.1.0 (2022-01-27).

What are alternatives to ml-random-forest?

Popular alternatives to ml-random-forest in npm include: ?, semver, minimatch, debug, brace-expansion.

What license does ml-random-forest use?

ml-random-forest is licensed under MIT.

ml-random-forest

npmv2.1.0

Random forest for classification and regression

License MITpermissive9 versions5 maintainers6 deps10,523 weekly dl

mljs/random-forest

/ 100

Health

use with caution

[email protected] low health (53/100) — consider alternatives

Moderate health score (53/100) — verify manually

Health breakdown0 – 100

0/25

maintenance

10/20

popularity

25/25

security

12/15

maturity

6/15

community

Vulnerabilities

none known

Bundle & TypeScript

📦

Bundle Size

57.0 KBminified

13.4 KB gzipped

6 direct dependencies

ESMside effects

🌟

TypeScript

10/10typed

bundled

Health History

Dependency Tree

License Audit

Dependencies (6)

ml-array-mean ml-array-median ml-array-mode ml-cart ml-matrix random-js

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/npm/ml-random-forest