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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.
ℹ️ Created in 2009 by Pierre Raybaut and maintained by the PlotPyStack organization.
The guidata
package is a Python library generating Qt graphical user interfaces.
It is part of the PlotPyStack project, aiming at
providing a unified framework for creating scientific GUIs with Python and Qt.
Simple example of guidata
datasets embedded in an application window:
See documentation for more details on the library and changelog for recent history of changes.
Copyrights and licensing:
Based on the Qt library, guidata
is a Python library generating graphical user
interfaces for easy dataset editing and display. It also provides helpers and
application development tools for Qt (PyQt5, PySide2, PyQt6, PySide6).
Generate GUIs to edit and display all kind of objects regrouped in datasets:
ndarrays
(NumPy's N-dimensional arrays)Save and load datasets to/from HDF5, JSON or INI files.
Application development tools:
gettext
)The whole PlotPyStack set of libraries relies on the Qt GUI toolkit, thanks to QtPy, an abstraction layer which allows to use the same API to interact with different Python-to-Qt bindings (PyQt5, PyQt6, PySide2, PySide6).
Compatibility table:
guidata version | PyQt5 | PyQt6 | PySide2 | PySide6 |
---|---|---|---|---|
3.0-3.5 | ✅ | ⚠️ | ❌ | ⚠️ |
Latest | ✅ | ✅ | ❌ | ✅ |
See Installation section in the documentation for more details.
FAQs
Automatic GUI generation for easy dataset editing and display
We found that guidata 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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