Is bioviz-kit safe to use?

bioviz-kit has no known vulnerabilities on the latest version (0.3.13). DepScope rates its health at 62/100 (moderate risk).

What is the latest version of bioviz-kit?

The latest version of bioviz-kit is 0.3.13, released 2026-04-24.

Does bioviz-kit have known vulnerabilities?

No known vulnerabilities on the latest version of bioviz-kit.

Is bioviz-kit deprecated?

No, bioviz-kit is actively maintained. Latest release: 0.3.13 (2026-04-24).

What are alternatives to bioviz-kit?

Popular alternatives to bioviz-kit in PyPI include: boto3, packaging, idna, urllib3, requests.

What license does bioviz-kit use?

bioviz-kit is licensed under MIT.

bioviz-kit

pypiv0.3.13

Framework-agnostic plotting utilities for biological and clinical data visualization

License MITpermissive16 versions11 deps128 weekly dl

vic-cheung/bioviz-kit

/ 100

Health

use with caution

[email protected] low health (62/100) — consider alternatives

Moderate health score (62/100) — verify manually

Health breakdown0 – 100

25/25

maintenance

3/20

popularity

25/25

security

9/15

maturity

0/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (11)

pandas matplotlib seaborn adjusttext loguru pydantic ipykernel statsmodels lifelines numpy pytest;

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/bioviz-kit

bioviz-kit

pypiv0.3.13

Framework-agnostic plotting utilities for biological and clinical data visualization

License MITpermissive16 versions11 deps128 weekly dl

vic-cheung/bioviz-kit

/ 100

Health

use with caution

[email protected] low health (62/100) — consider alternatives

Moderate health score (62/100) — verify manually

Health breakdown0 – 100

25/25

maintenance

3/20

popularity

25/25

security

9/15

maturity

0/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (11)

pandas matplotlib seaborn adjusttext loguru pydantic ipykernel statsmodels lifelines numpy pytest;

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/bioviz-kit