Data Analytics Software Project - Python bindings
Python RPC wrapper for the data analytics software framework DASF
Description
Data Analytics Software Framework
python module wrapper for the data analytics software framework DASF
Abstract
DASF: Messaging Python is part of the Data Analytics Software Framework (DASF, https://codebase.helmholtz.cloud/dasf),
developed at the GFZ German Research Centre for Geosciences (https://www.gfz-potsdam.de).
It is funded by the Initiative and Networking Fund of the Helmholtz Association through the Digital Earth project
(https://www.digitalearth-hgf.de/).
DASF: Messaging Python is a RPC (remote procedure call) wrapper library for the python programming language. As part of the data analytics software framework DASF, it implements the DASF RPC messaging protocol. This message broker based RPC implementation supports the integration of algorithms and methods implemented in python in a distributed environment. It utilizes pydantic (https://pydantic-docs.helpmanual.io/) for data and model validation using python type annotations. DASF distributes messages via a central, django-based message broker: dasf-broker-django. (see also: Message Broker)
Documentation
see: https://dasf.readthedocs.io/en/latest/
Installation
Install this package in a dedicated python environment via
python -m venv venv
source venv/bin/activate
pip install dasf
Optional features come as extras: backend (the generation of code), broker
(the development message broker that the runserver command starts), openai
(conversations with an LLM) and mcp (MCP servers). Install them in brackets,
e.g. pip install "dasf[backend,broker]".
To use this in a development setup, clone the source code from gitlab, start the development server and make your changes::
git clone https://codebase.helmholtz.cloud/dasf/dasf-messaging-python
cd dasf-messaging-python
python -m venv venv
source venv/bin/activate
make dev-install
The quickstart shows how to set up a backend module and the development message broker.
Technical note
This package has been generated from the template https://codebase.helmholtz.cloud/hcdc/software-templates/python-package-template.git.
See the template repository for instructions on how to update the skeleton for this package.
Source Code Examples
The examples directory of the source code has an example backend
module (backend_module.py), the client stub that has been
generated from it, an MCP server, and a script that calls the module via the
client stub (client.py). Its README
describes how to run them, and how to generate the client stub.
Recommended Software Citation
Eggert et al., (2022). DASF: A data analytics software framework for distributed environments. Journal of Open Source Software, 7(78), 4052, https://doi.org/10.21105/joss.04052
License information
Copyright © 2019-2026 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences Copyright © 2020-2021 Helmholtz-Zentrum Geesthacht Copyright © 2021-2026 Helmholtz-Zentrum hereon GmbH
Code files in this repository are licensed under the Apache-2.0, if not stated otherwise in the file.
Documentation files in this repository are licensed under CC-BY-4.0, if not stated otherwise in the file.
Supplementary and configuration files in this repository are licensed under CC0-1.0, if not stated otherwise in the file.
Please check the header of the individual files for more detailed information.
License management
License management is handled with reuse.
If you have any questions on this, please have a look into the
contributing guide or contact the maintainers of
dasf-messaging-python.
Contact
Philipp S. Sommer eMail: philipp.sommer@hereon.de
Helmholtz-Zentrum Hereon Max-Planck-Str. 1 21502 Geesthacht Germany
Participating organisations
Reference papers
Mentions
- 1.Author(s): Nataliya Noskova, Filipp VerkholantsevPublished in Геофизические исследования by Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences (IPE RAS) in 2025, page: 510.21455/gr2025.4-1
- 2.Author(s): Nikolay Syrov, Daha Garba Muhammad, Alexandra Medvedeva, Lev Yakovlev, Alexander Kaplan, Mikhail LebedevPublished in Psychophysiology by Wiley in 202410.1111/psyp.14708
- 3.Author(s): Doris Dransch, Daniel Eggert, Mike SipsPublished in International Journal of Digital Earth by Informa UK Limited in 2023, page: 3973-398610.1080/17538947.2023.2259361
Contributors
Related projects
DataHub
DataHub Initiative of the Research Field Earth and Environment