Is bayesian-hmm safe to use?

bayesian-hmm has no known vulnerabilities on the latest version (0.0.4). DepScope rates its health at 31/100 (critical risk).

What is the latest version of bayesian-hmm?

The latest version of bayesian-hmm is 0.0.4, released 2019-09-14.

Does bayesian-hmm have known vulnerabilities?

No known vulnerabilities on the latest version of bayesian-hmm.

Is bayesian-hmm deprecated?

No, bayesian-hmm is actively maintained. Latest release: 0.0.4 (2019-09-14).

What are alternatives to bayesian-hmm?

Popular alternatives to bayesian-hmm in PyPI include: boto3, packaging, idna, urllib3, typing-extensions.

What license does bayesian-hmm use?

bayesian-hmm is licensed under MIT.

bayesian-hmm

pypiv0.0.4

A non-parametric Bayesian approach to Hidden Markov Models

License MITpermissive5 versions1 maintainers5 deps2 weekly dl

jamesross2/Bayesian-HMM

/ 100

Health

use with caution

[email protected] low health (31/100) — consider alternatives

Low health score (31/100)

Health breakdown0 – 100

0/25

maintenance

0/20

popularity

25/25

security

3/15

maturity

3/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (5)

numpy scipy sympy terminaltables tqdm

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/bayesian-hmm

bayesian-hmm

pypiv0.0.4

A non-parametric Bayesian approach to Hidden Markov Models

License MITpermissive5 versions1 maintainers5 deps2 weekly dl

jamesross2/Bayesian-HMM

/ 100

Health

use with caution

[email protected] low health (31/100) — consider alternatives

Low health score (31/100)

Health breakdown0 – 100

0/25

maintenance

0/20

popularity

25/25

security

3/15

maturity

3/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (5)

numpy scipy sympy terminaltables tqdm

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/bayesian-hmm