💫Graph visualization with PyGraphistry
PyGraphistry is a Python AI library for visual graphs that allows you to extract, transform, analyze and visualize large graphs along with end-to-end Graphistry graphics server sessions. Graphics created specifically for large graphs. The WebGL custom rendering engine client renders up to 8 million nodes + a number at a time, and most client GPUs detect between 100,000 and 2 million elements. The GPU analytics engine on the server interface supports even larger graphics. Graphics smoothes graphics workflows in the PyData ecosystem, including Pandas/Spark/Dask dataframes, Nvidia RAPIDS GPUs, GPU graphics, DGL/PyTorch graphics neural networks, and various data connectors.
PyGraphistry is a streamlined and optimized native PyData interface for language independent Graphistry REST APIs. It is possible to use PyGraphistry using Python data sources such as CSV, SQL, Neo4j, Splunk and more.
The PyGraphistry Python client uses different categories of users:
• Data Explorer: Comprehensive data exploration to accelerated visual analysis in a couple of lines, share results on time phenomena, create complex predictions in Jupyter Notebook and Google Colab.
• Developer: Quickly prototype amazing Python solutions with PyGraphistry, embed in a language-independent way with the REST API, customize colors, icons, templates, JavaScript, and more.
• Analyst: Customize visual ashboards using interactive search, filters, timelines, bar charts, and more, embedding them in any framework.
https://github.com/graphistry/pygraphistry