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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
This package enables using common Python data science toolkits with HeavyDB. It brings data frame support on CPU and GPU as well as support for arrow. See the documentation for more.
Packages are available on conda-forge and PyPI:
# using conda-forge
conda install -c conda-forge heavyai
# using pip
pip install heavyai
We recommend creating a fresh conda 3.8 or 3.9 environment when installing heavyai with GPU capabilities.
To install heavyai for GPU Dataframe support (conda-only):
mamba create -n heavyai-gpu -c rapidsai -c nvidia -c conda-forge -c defaults \
--no-channel-priority \
cudf heavyai pyheavydb pytest shapely geopandas pyarrow=*=*cuda
Further documentation for heavyai usage is available at: http://heavyai.readthedocs.io/
FAQs
Data science toolkit support for HeavyDB
We found that heavyai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 5 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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