Announcing GQLAlchemy 1.2 - Developing Python Applications With Graph Databases

GQLAlchemy 1.2 is a new release of an Object Graph Mapper (OGM) aimed at simplifying the interaction with graph databases, particularly Memgraph, using Python instead of the Cypher query language. This update introduces a table data importer module for importing data from sources like Amazon S3, Azure Blob, and local storage, and an instance runner module for managing Memgraph instances directly through Python. The release also includes numerous bug fixes and improvements such as enhanced label inheritance, new query builder methods, and options for creating label indexes and batch save methods for nodes and relationships. GQLAlchemy supports importing various file formats via the PyArrow package, and users are encouraged to contribute their own importers. Future developments are underway, and users are invited to join the community on GitHub and Discord for suggestions and discussions.