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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.
Useful implementations of data structures and design patterns for AI knowledge bases.
Useful implementations of data structures and design patterns for knowledge bases and AI, or the knobs and levers for fine-tuning and leveraging your data.
This repo also serves as a template or sandbox for development, experimentation, and testing of general data structures, algorithms, and utilities for DS, AI, ML, and NLP.
Provides connectors for other popular text and data processing packages like:
The purpose of this project is:
% pip install dataknobs
% python
>>> import dataknobs as dk
>>> ...
The following minimum configuration should exist for development:
With optional:
By convention, a data directory can be leveraged for development that is mounted as a shared volumne in Docker as /data. This has the default of $HOME/data, but can be overridden with the DATADIR environment variable.
% tox -e dev
# poetry shell
# python
Development:
Notebook:
FAQs
Useful implementations of data structures and design patterns for AI knowledge bases.
We found that dataknobs demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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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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