Is adversarial-vision-challenge safe to use?

adversarial-vision-challenge has no known vulnerabilities on the latest version (1.0.5). DepScope rates its health at 37/100 (critical risk).

What is the latest version of adversarial-vision-challenge?

The latest version of adversarial-vision-challenge is 1.0.5, released 2018-09-17.

Does adversarial-vision-challenge have known vulnerabilities?

No known vulnerabilities on the latest version of adversarial-vision-challenge.

Is adversarial-vision-challenge deprecated?

No, adversarial-vision-challenge is actively maintained. Latest release: 1.0.5 (2018-09-17).

What are alternatives to adversarial-vision-challenge?

Popular alternatives to adversarial-vision-challenge in PyPI include: boto3, packaging, certifi, urllib3, idna.

What license does adversarial-vision-challenge use?

adversarial-vision-challenge is licensed under MIT.

adversarial-vision-challenge

pypiv1.0.5

Tools for the NIPS Adversarial Vision Challenge. Includes an HTTP server and client that provides access to Foolbox models and attacks.

License MITpermissive18 versions1 maintainers17 deps19 weekly dl

bethgelab/adversarial-vision-challenge

/ 100

Health

use with caution

[email protected] low health (37/100) — consider alternatives

Moderate health score (37/100) — verify manually

Health breakdown0 – 100

0/25

maintenance

0/20

popularity

25/25

security

9/15

maturity

3/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (17)

bson flask foolbox numpy pillow requests setuptools pyyaml crowdai-api GitPython packaging future tqdm crowdai-repo2docker;pytest;pytest-cov;tensorflow;

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/adversarial-vision-challenge