Is tensorflow-privacy safe to use?

tensorflow-privacy has no known vulnerabilities on the latest version (0.9.0). DepScope rates its health at 43/100 (high risk).

What is the latest version of tensorflow-privacy?

The latest version of tensorflow-privacy is 0.9.0, released 2024-02-14.

Does tensorflow-privacy have known vulnerabilities?

No known vulnerabilities on the latest version of tensorflow-privacy.

Is tensorflow-privacy deprecated?

No, tensorflow-privacy is actively maintained. Latest release: 0.9.0 (2024-02-14).

What are alternatives to tensorflow-privacy?

Popular alternatives to tensorflow-privacy in PyPI include: boto3, packaging, certifi, urllib3, idna.

What license does tensorflow-privacy use?

tensorflow-privacy is licensed under Apache-2.0.

tensorflow-privacy

pypiv0.9.0

A privacy-focused machine learning framework

License Apache-2.0permissive31 versions10 deps3,699 weekly dl

tensorflow/privacy

/ 100

Health

safe to use

[email protected] is safe to use (health: 43/100)

Health breakdown0 – 100

0/25

maintenance

6/20

popularity

25/25

security

12/15

maturity

0/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (10)

absl-py dm-tree dp-accounting numpy packaging scikit-learn scipy tensorflow-estimator tensorflow-probability tensorflow

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/tensorflow-privacy