This is great

We reached a similar conclusion for GFQL (oss graph dataframe query language), where we needed an LLM-friendly interface to our visualization & analytics stack, especially without requiring a code sandbox. We realized we can do quite rich GPU visual analytics pipelines with some basic extensions to opencypher . Doing SQL for the tabular world makes a lot of sense for the same reasons!

For the GFQL version (OpenCypher), an example of data loading, shaping, algorithmic enrichment, visual encodings, and first-class pipelines:

- overall pipelines: https://pygraphistry.readthedocs.io/en/latest/gfql/benchmark...

- declarative visual encodings as simple calls: https://pygraphistry.readthedocs.io/en/latest/gfql/builtin_c...