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cupy-cuda11x

Artifact:
Top 10k
CuPy: NumPy & SciPy for GPU
License: Permissive (MIT)
Published: 4 months ago
Visit Github
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
128 low priority mitigations absent

Threats

Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion

INCIDENTS:

Spectra Assure analysis detects 87 more components
Learn more about Spectra Assure
Below is the list of direct dependencies declared by the software package through its manifest.
Name
Version
Cython
>=3
fastrlock
>=0.5
numpy
<2.6,>=1.22
optuna
>=2.0
scipy
<1.17,>=1.7

Did you know...

... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.