Graphistry Ecosystem and Louie.AI#
The Graphistry community of projects, open source, and partners has grown over the years:
Graphistry Core#
JS APIs (github) <https://github.com/graphistry/graphistry-js>_: Node, React, and vanilla JS
graph-app-kit (github): Python dashboarding with Graphistry and Streamlit
GFQL: Dataframe-native Graph Query Language#
Our open-source graph query language GFQL with optional GPU support
The Graphistry team created GFQL to fill the gap between pandas/cudf and cypher. This project has been years in the making, and is built out of need from our experiences in working with graphs of all sizes in the compute and visualization tiers.
Graphistry Louie.AI#
Louie.AI is the new genAI-native experience for Graphistry and your favorite databases
Louie.AI features:
genAI-native notebooks: Talk to your data & databases and get back answers, visualizations, and more
genAI-native dashboards: Build and share dashboards with your data, AI, and Graphistry
API: Use Louie.AI’s API to integrate genAI-native experiences into your own apps, both visual and headless
Real-time AI Knowledge Graph Database: Target data, transform into preintegrated genAI-friendly indexes, then talk to it or trigger workflows
Check out the Louie.AI homepage for more information and early access.
Graphistry cu_cat#
Automatic feature engineering is an important way pygraphistry[ai] streamlines ML and AI workflows. To make that fast, we have been adding GPU acceleration through a GPU-first port of dirty_cat (skrub).
Head over to the cu-cat homepage (github)
Community#
Graphistry works with a variety of partners and projects, some of which include:
GPU dataframes:
Nvidia RAPIDS: cuDF, cuGraph, cuML
Apache Arrow: Python, JS, and more
Graph
Log databases and SIEMs:
Graph analytics:
Python data science ecosystem: