Research Data Python Packages

data-aggregator-mcp

Unified research-data acquisition MCP — search & fetch datasets across Zenodo, DataCite, NCBI omics (GEO/SRA/BioProject), and literature (PubMed/OpenAIRE) behind one normalized model.

mex-model

RKI Metadata Exchange | Metadata model in JSON schema format to facilitate interoperability and formalize the technical implementation in MEx applications.

mex-common

RKI Metadata Exchange | Software development toolkit for the MEx project that contains utilities for building pipelines and services, including shared code for logging, configuration and data models.

rdmo

A tool to support the planning, implementation, and organization of research data management.

ddacs

Python interface for the DDACS dataset: 32K+ deep drawing simulations with stress, strain, and deformation data for ML and manufacturing research

omnipy

Omnipy is a high level Python library for type-driven data wrangling and scalable workflow orchestration (under development)

patzilla

PatZilla is a modular patent information research platform and data integration toolkit. It features a modern user interface and access to multiple data sources.

phenodata

phenodata is an acquisition and processing toolkit for open access phenology data

fairly

A package to create, publish, and clone research datasets

nfdinspector

A Python package to inspect formal quality problems in research data.

python-re3data

The Pythonic client for the re3data API.

jupyter-fairly

A JupyterLab extension for seamless integration of Jupyter-based research environments and research data repositories.

jupyterfair

A JupyterLab extension for seamless integration of Jupyter-based research environments and research data repositories.