dantro: handle, transform, and visualize hierarchically structured datadantro – from data and dentro (Greek for tree) – is a Python
package that provides a uniform interface for hierarchically structured
and semantically heterogeneous data. It is built around three main
features:
Together, these stages constitute a data processing pipeline: an automated sequence of predefined, configurable operations. Akin to a Continuous Integration pipeline, a data processing pipeline provides a uniform, consistent, and easily extensible infrastructure that contributes to more efficient and reproducible workflows. This can be beneficial especially in a scientific context, for instance when handling data that was generated by computer simulations.
dantro is meant to be integrated into projects and be used to set up
such a data processing pipeline, customized to the needs of the project.
It is designed to be easily customizable to the requirements of the project
it is integrated in, even if the involved data is hierachically structured or
semantically heterogeneous.
Furthermore, it allows a configuration-based specification of all
operations via YAML <https://en.wikipedia.org/wiki/YAML>_ configuration
files; the resulting pipeline can then be controlled entirely via these
configuration files and without requiring code changes.
The dantro package is open source software released under the
LGPLv3+ <https://www.gnu.org/licenses/lgpl-3.0.html>_ license.
It was developed alongside the Utopia project <https://gitlab.com/utopia-project/utopia>_
(a modelling framework for complex and adaptive systems), but is an
independent package.
Documentation <https://dantro.readthedocs.io/>_Project page <https://gitlab.com/utopia-project/dantro>_README and installation instructions <https://gitlab.com/utopia-project/dantro#installing-dantro>_Publication in the Journal of Open Source Software <https://doi.org/10.21105/joss.02316>_Utopia Project Website <https://utopia-project.org/>_FAQs
Handle, transform, and visualize hierarchically structured data
We found that dantro 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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