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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 wrapper to Qhull (http://www.qhull.org/) for the computation of the convex hull, Delaunay triangulation and Voronoi diagram
Pyhull is a Python wrapper to Qhull (http://www.qhull.org/) for the computation of the convex hull, Delaunay triangulation and Voronoi diagram. It is written as a Python C extension, with both high-level and low-level interfaces to qhull.
Pyhull has been tested to scale to 10,000 7D points for convex hull calculations (results in ~ 10 seconds), and 10,000 6D points for Delaunay triangulations and Voronoi tesselations (~ 100 seconds). Higher number of points and higher dimensions should be accessible depending on your machine, but may take a significant amount of time.
For more details or to report bugs, please visit the pyhull GitHub page at https://github.com/materialsvirtuallab/pyhull or the documentation page at http://packages.python.org/pyhull/.
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A Python wrapper to Qhull (http://www.qhull.org/) for the computation of the convex hull, Delaunay triangulation and Voronoi diagram
We found that pyhull 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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