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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.
A python library developed to allow programmatic control of the Hudson Robotics systems installed in Argonne National Laboratory's Secure BIO Lab.
This repository contains the source code for a python library developed to allow programmatic control of the Hudson Robotics systems installed in Argonne National Laboratory's Secure BIO Lab.
This library is currently in active development. As such, there are no guarantess of API stability, feature completeness, or test coverage. Any code generated by this library should be considered untested, and when run on the physical lab automation systems should be carefully monitored.
Pip:
pip install liquidhandling
Conda:
conda install -c conda-forge -c luckierdodge liquidhandling
(For development install, see below)
Documentation for the interfaces contained in this library can be found in the docs
directory. In addition, example code is available under example
.
git clone https://github.com/AD-SDL/hudson-liquidhandling.git
pip install -r requirements.txt
in the repository rootpip install -e .
in the repository rootpython -m pytest ./test
in the repo's root directory (or with the last argument adjusted to point to the test
directory)To automatically format the code for style and readability, run black .
in the repo's root directory. This keeps all python code stylistically consistent.
FAQs
A python library developed to allow programmatic control of the Hudson Robotics systems installed in Argonne National Laboratory's Secure BIO Lab.
We found that liquidhandling demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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