Release 0.9.3

About Gastrodon¶

Gastrodon links databases that support the SPARQL protocol (more than ten!) to Pandas, a popular Python library for analysis of tabular data. Pandas, in turn, is connected to a vast number of visualization, statistics, and machine learning tools, all of which work with Jupyter notebooks. The result is an ideal environment for telling stories that reveal the value of data, ontologies, taxonomies, and models.

In addition to remote databases, Gastrodon can do SPARQL queries over in-memory RDF graphs (from rdflib). It has facilities to copy subgraphs from one graph to another, making it possible to assemble local graphs that contain facts relevant to a particular decision, work on them intimately, and then store results in a permanent triple store.