Is scikit-digital-health safe to use?

scikit-digital-health has no known vulnerabilities on the latest version (0.17.11). DepScope rates its health at 74/100 (moderate risk).

What is the latest version of scikit-digital-health?

The latest version of scikit-digital-health is 0.17.11, released 2026-03-19.

Does scikit-digital-health have known vulnerabilities?

No known vulnerabilities on the latest version of scikit-digital-health.

Is scikit-digital-health deprecated?

No, scikit-digital-health is actively maintained. Latest release: 0.17.11 (2026-03-19).

What are alternatives to scikit-digital-health?

DepScope has no curated alternatives for scikit-digital-health at this time.

What license does scikit-digital-health use?

scikit-digital-health is licensed under MIT.

scikit-digital-health

condav0.17.11

Scikit Digital Health (SKDH) is a Python package with methods for ingesting and analyzing wearable inertial sensor data.

License MITpermissive64 versions1 maintainers0 deps3,210 weekly dl

PfizerRD/scikit-digital-health

/ 100

Health

safe to use

[email protected] is safe to use (health: 74/100)

Health breakdown0 – 100

25/25

maintenance

6/20

popularity

25/25

security

15/15

maturity

3/15

community

Vulnerabilities

none known

Maintainer trust

Active maintainers (3m)

1

Contributors (12m)

2

Primary author dominance

98%

GitHub stars

99

single active maintainer 3msingle author dominance

Health History

Dependency Tree

License Audit

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/conda/scikit-digital-health

First published · 2022-03-22 17:17:12.346000+00:00

Last updated · 2026-03-19 14:37:14.420000+00:00

scikit-digital-health

condav0.17.11

Scikit Digital Health (SKDH) is a Python package with methods for ingesting and analyzing wearable inertial sensor data.

License MITpermissive64 versions1 maintainers0 deps3,210 weekly dl

PfizerRD/scikit-digital-health

/ 100

Health

safe to use

[email protected] is safe to use (health: 74/100)

Health breakdown0 – 100

25/25

maintenance

6/20

popularity

25/25

security

15/15

maturity

3/15

community

Vulnerabilities

none known

Maintainer trust

Active maintainers (3m)

1

Contributors (12m)

2

Primary author dominance

98%

GitHub stars

99

single active maintainer 3msingle author dominance

Health History

Dependency Tree

License Audit

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/conda/scikit-digital-health

First published · 2022-03-22 17:17:12.346000+00:00

Last updated · 2026-03-19 14:37:14.420000+00:00