Whitelisted Libraries
Last updated
Last updated
To ensure that the users are not using malicious packages on the competition's infrastructure, a series of Python packages have been whitelisted.
Packages can be requested to be whitelisted by sending a message to . To make it easier, please include some of the following in your message:
The link to the PyPI page.
Whether it requires a GPU or not.
If the package is imported under a name other than the package name
(e.g. scikit-learn
is sklearn
).
However, there are a number of requirements (pun intended) that must be met:
The package must be available on .
The package must have a good readme/documentation.
The package must not be new (more than 6 months old).
The package must have many downloads (e.g. ).
The package must have (by PyPI).
If the package is only available on GitHub, you will need to download it and include it in your submission. Only PyPI packages are allowed.