Is cuda-core safe to use?

cuda-core has no known vulnerabilities on the latest version (1.1.1). DepScope rates its health at 78/100 (moderate risk).

What is the latest version of cuda-core?

The latest version of cuda-core is 1.1.1, released 2026-07-29.

Does cuda-core have known vulnerabilities?

No known vulnerabilities on the latest version of cuda-core.

Is cuda-core deprecated?

No, cuda-core is actively maintained. Latest release: 1.1.1 (2026-07-29).

What are alternatives to cuda-core?

Popular alternatives to cuda-core in PyPI include: certifi, grpcio-status, h11, litellm, boto3.

What license does cuda-core use?

cuda-core is licensed under Apache-2.0.

cuda-core

pypiv1.1.1

cuda.core: pythonic CUDA module

License Apache-2.0permissive16 versions1 maintainers7 deps1,485,978 weekly dl

/ 100

Health

safe to use

[email protected] is safe to use (health: 78/100)

Health breakdown0 – 100

25/25

maintenance

17/20

popularity

25/25

security

9/15

maturity

2/15

community

0/15

popularity_floor

Vulnerabilities

none known

Quality signals

Publish security

API token

Health History

Dependency Tree

License Audit

Dependencies (7)

cuda-pathfinder numpy backports.strenum;cuda-bindings[all]cuda-toolkit cuda-bindings[all]cuda-toolkit

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/cuda-core

cuda-core

pypiv1.1.1

cuda.core: pythonic CUDA module

License Apache-2.0permissive16 versions1 maintainers7 deps1,485,978 weekly dl

/ 100

Health

safe to use

[email protected] is safe to use (health: 78/100)

Health breakdown0 – 100

25/25

maintenance

17/20

popularity

25/25

security

9/15

maturity

2/15

community

0/15

popularity_floor

Vulnerabilities

none known

Quality signals

Publish security

API token

Health History

Dependency Tree

License Audit

Dependencies (7)

cuda-pathfinder numpy backports.strenum;cuda-bindings[all]cuda-toolkit cuda-bindings[all]cuda-toolkit

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/cuda-core