Is empirical-calibration safe to use?

empirical-calibration has no known vulnerabilities on the latest version (0.12). DepScope rates its health at 45/100 (high risk).

What is the latest version of empirical-calibration?

The latest version of empirical-calibration is 0.12, released 2024-05-05.

Does empirical-calibration have known vulnerabilities?

No known vulnerabilities on the latest version of empirical-calibration.

Is empirical-calibration deprecated?

No, empirical-calibration is actively maintained. Latest release: 0.12 (2024-05-05).

What are alternatives to empirical-calibration?

Popular alternatives to empirical-calibration in PyPI include: boto3, packaging, idna, certifi, urllib3.

What license does empirical-calibration use?

empirical-calibration is licensed under Apache 2.0.

empirical-calibration

pypiv0.12

Package for empirical calibration

License Apache 2.0permissive2 versions1 maintainers7 deps56,300 weekly dl

google/empirical_calibration

/ 100

Health

use with caution

[email protected] low health (45/100) — consider alternatives

Moderate health score (45/100) — verify manually

Health breakdown0 – 100

5/25

maintenance

10/20

popularity

25/25

security

3/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (7)

absl-py numpy pandas patsy scipy six scikit-learn

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/empirical-calibration