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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 is a package meant primarily for documenting histogram indexing and the PlottableHistogram Protocol and any future cross-library standards. It also contains the code for the PlottableHistogram Protocol, to be used in type checking libraries wanting to conform to the protocol. Eventually, it might gain a set of tools for testing conformance to UHI indexing, as well. It is not usually a runtime dependency, but only a type checking, testing, and/or docs dependency in support of other libraries (such as boost-histogram 0.13+, hist 2.1+, mplhep 0.2.15+, uproot 4+, and histoprint 2+). There are a few useful runtime usable components (listed below). Older versions are available for Python 3.6+. See what's new.
To assist plotting libraries in accepting Histograms from classic sources, see
uhi.numpy_plottable.ensure_plottable_histogram
, which will adapt NumPy style
tuples into a simple PlottableHistogram.
The Protocols provided do support runtime checking, so
isinstance(h, uhi.typing.plotting.PlottableHistogram)
is valid at runtime and
might be simpler than manually checking for the expected methods.
FAQs
Unified Histogram Interface: tools to help library authors work with histograms
We found that uhi 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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