Is bayesmarketing-mmm safe to use?

bayesmarketing-mmm has no known vulnerabilities on the latest version (0.0.1). DepScope rates its health at 41/100 (high risk).

What is the latest version of bayesmarketing-mmm?

The latest version of bayesmarketing-mmm is 0.0.1, released 2025-02-19.

Does bayesmarketing-mmm have known vulnerabilities?

No known vulnerabilities on the latest version of bayesmarketing-mmm.

Is bayesmarketing-mmm deprecated?

No, bayesmarketing-mmm is actively maintained. Latest release: 0.0.1 (2025-02-19).

What are alternatives to bayesmarketing-mmm?

Popular alternatives to bayesmarketing-mmm in PyPI include: boto3, packaging, urllib3, certifi, idna.

What license does bayesmarketing-mmm use?

bayesmarketing-mmm is licensed under MIT.

bayesmarketing-mmm

pypiv0.0.1

Bayesian Marketing Mix Modeling Library using NumPyro

License MITpermissive1 versions1 maintainers9 deps25 weekly dl

/ 100

Health

use with caution

[email protected] low health (41/100) — consider alternatives

Moderate health score (41/100) — verify manually

Health breakdown0 – 100

5/25

maintenance

0/20

popularity

25/25

security

9/15

maturity

2/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (9)

numpyro jax jaxlib numpy pandas matplotlib seaborn scipy arviz

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/bayesmarketing-mmm