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.
You can search the whitelisted library in the Submit section of each competition.
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 PyPI.
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. pandas).
The package must have verified details (by PyPI).
We reserve the right to refuse a package if it looks suspicious.
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.