Is active-semi-supervised-clustering safe to use?

active-semi-supervised-clustering has no known vulnerabilities on the latest version (0.0.1). DepScope rates its health at 30/100 (critical risk).

What is the latest version of active-semi-supervised-clustering?

The latest version of active-semi-supervised-clustering is 0.0.1, released 2018-09-18.

Does active-semi-supervised-clustering have known vulnerabilities?

No known vulnerabilities on the latest version of active-semi-supervised-clustering.

Is active-semi-supervised-clustering deprecated?

No, active-semi-supervised-clustering is actively maintained. Latest release: 0.0.1 (2018-09-18).

What are alternatives to active-semi-supervised-clustering?

Popular alternatives to active-semi-supervised-clustering in PyPI include: boto3, packaging, certifi, urllib3, idna.

What license does active-semi-supervised-clustering use?

active-semi-supervised-clustering is licensed under MIT.

active-semi-supervised-clustering

pypiv0.0.1

Active semi-supervised clustering algorithms for scikit-learn

License MITpermissive1 versions1 maintainers4 deps359 weekly dl

datamole-ai/active-semi-supervised-clustering

/ 100

Health

use with caution

[email protected] low health (30/100) — consider alternatives

Moderate health score (30/100) — verify manually

Health breakdown0 – 100

0/25

maintenance

3/20

popularity

25/25

security

0/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (4)

numpy scipy scikit-learn metric-learn

API access

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