Is bm-eval-metrics safe to use?

bm-eval-metrics has no known vulnerabilities on the latest version (1.5.9). DepScope rates its health at 56/100 (high risk).

What is the latest version of bm-eval-metrics?

The latest version of bm-eval-metrics is 1.5.9, released 2026-04-15.

Does bm-eval-metrics have known vulnerabilities?

No known vulnerabilities on the latest version of bm-eval-metrics.

Is bm-eval-metrics deprecated?

No, bm-eval-metrics is actively maintained. Latest release: 1.5.9 (2026-04-15).

What are alternatives to bm-eval-metrics?

Popular alternatives to bm-eval-metrics in PyPI include: boto3, packaging, urllib3, idna, certifi.

What license does bm-eval-metrics use?

License information for bm-eval-metrics is not declared in the registry metadata.

bm-eval-metrics

pypiv1.5.9

Python package providing easy-to-use evaluation metrics and utilities for Machine Learning

10 versions10 deps15 weekly dl

/ 100

Health

use with caution

[email protected] low health (56/100) — consider alternatives

Moderate health score (56/100) — verify manually

Health breakdown0 – 100

25/25

maintenance

0/20

popularity

25/25

security

6/15

maturity

0/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (10)

groq gsppy matplotlib networkx numpy pandas plotly scikit-learn scipy seaborn

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/bm-eval-metrics

bm-eval-metrics

pypiv1.5.9

Python package providing easy-to-use evaluation metrics and utilities for Machine Learning

10 versions10 deps15 weekly dl

/ 100

Health

use with caution

[email protected] low health (56/100) — consider alternatives

Moderate health score (56/100) — verify manually

Health breakdown0 – 100

25/25

maintenance

0/20

popularity

25/25

security

6/15

maturity

0/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (10)

groq gsppy matplotlib networkx numpy pandas plotly scikit-learn scipy seaborn

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/bm-eval-metrics