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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.
Pyxel is a general detector simulation framework. An easy-to-use framework that can simulate a variety of imaging detector effects combined on images (e.g. radiation and optical effects, noises) made by CCD or CMOS-based detectors.
Pyxel is tested on Python 3.9+.
If you'd like to contribute to Pyxel you're most welcome. Please read the little guide to get you started.
Learn more about Pyxel in its offical blog and its official documentation at https://esa.gitlab.io/pyxel/doc.
The best way to get started and learn Pyxel are the Tutorials and Examples.
For convenience we provide a pre-defined conda environment file, so you can get additional useful packages together with Pyxel in a virtual isolated environment.
For more information check the Quickstart Setup instructions.
Installation instructions can be found in the tutorials.
Example notebooks of Pyxel can be found in a separate public repository Pyxel Data. Examples can either be downloaded and run locally or run in the cloud using Binder, by clicking on the badge above.
Most development discussion is taking place on GitLab in this repo. Further, the Pyxel mailing list can also be used for specialized discussions or design issues, and a Gitter channel is available for quick development related questions.
If you use Pyxel, please cite the paper we published in SPIE Digital Library.
All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.
A detailed overview on how to contribute to Pyxel can be found in the contributing guide. There is also an overview on GitLab.
If you are simply looking to start working with the Pyxel codebase, navigate to the GitLab "issues" tab and start looking through interesting issues. There are a number of issues listed under Docs and good first issue where you could start out.
Or maybe through using Pyxel you have an idea of your own or are looking for something in the documentation and thinking 'this can be improved'... you can do something about it !
Feel free to ask questions on the mailing list or on Gitter.
The detailed changelog is available on the website.
Pyxel is released under MIT license.
FAQs
Pyxel detector simulation framework.
We found that pyxel-sim demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 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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