
Research
2025 Report: Destructive Malware in Open Source Packages
Destructive malware is rising across open source registries, using delays and kill switches to wipe code, break builds, and disrupt CI/CD.
quantables
Advanced tools
A Python package for managing unit-aware quantities with uncertainties, tailored for PySide6/Qt GUIs.
A Python package for managing unit-aware quantities with uncertainties, tailored
for PySide6/Qt GUIs. It provides a collection of modules with reusable components
for retrieving and displaying pint.Quantity, pint.Measurement, or pandas
objects containing such quantities. The modules are designed to be used as a
toolkit rather than stand-alone components, but provide ready-to-use components,
like this CSV Importer:

Consult the demo.md file
to learn about the components provided by this package.
The project is currently under development and changes in its behaviour might be introduced.
Install the latest release of QuanTables from PyPI
via pip:
$ pip install quantables
The development version can be installed from
the Git repository using pip:
# Via https
pip install git+https://codeberg.org/Cs137/QuanTables.git
# Via ssh
pip install git+ssh://git@codeberg.org:Cs137/QuanTables.git
Examples demonstrating several use cases can be found in the
demo.md file,
the corresponding modules are located in the
examples
directory of this repository.
All notable changes to this project are documented in the file
CHANGELOG.md.
Contributions to the QuanTables package are very welcomed. Feel free to submit a
pull request, if you would like to contribute to the project. In case you are
unfamiliar with the process, consult the
forgejo documentation
and follow the steps using this repository instead of the example repository.
Create your pull request (PR) to
inform that you start working on a contribution. Provide a clear description
of your envisaged changes and the motivation behind them, prefix the PR's title
with WIP: until your changes are finalised.
All kind of contributions are appreciated, whether they are bug fixes, new features, or improvements to the documentation.
QuanTables is open source software released under the MIT License. See LICENSE file for details.
This package was created and is maintained by Christian Schreinemachers, (C) 2025.
FAQs
A Python package for managing unit-aware quantities with uncertainties, tailored for PySide6/Qt GUIs.
We found that quantables 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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