autogradv1.4

Top 10k

License: Permissive (MIT)

PyPI

Homepage

Published:

Efficiently computes derivatives of numpy code.

Fail

Risk: Vulnerabilities

3 severe vulnerabilities exploited

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

No sensitive information found

Security

Vulnerabilities

3 severe vulnerabilities exploited

Hardening

No application hardening issues

Threats

Tampering

No evidence of software tampering

Malware

No evidence of malware inclusion

Downloads

64.46M

Total Downloads

Maintenance

Maintainers

Dependencies

Declared Dependencies

Dependents

Issues per Version Graph

Scanned

FAQ for autograd

What is autograd?

Efficiently computes derivatives of numpy code. For more information about this package, visit its homepage.

Is autograd malicious or is it safe to use?

The Python package autograd was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. The package contains risks, and the analysis results should be reviewed before it is downloaded and used. Visit the Issues and Behaviors sections of the analysis for more details.

Is autograd popular?

The Python package autograd ranks among the top 10000 projects in this community. It has 64M recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

How do I secure autograd once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how autograd behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a autograd version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.