From c479dce137e64386a2a4c5d5c9a05782ee949806 Mon Sep 17 00:00:00 2001 From: Alhamza Alnaimi Date: Tue, 26 Nov 2024 13:38:35 +0000 Subject: [PATCH] Add UI section to README.md (#1872) Add UI section to README.md --- README.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 89776e145..d5f6e58ed 100644 --- a/README.md +++ b/README.md @@ -147,7 +147,7 @@ The top node in the graph is Charlie with a score of 0.4744116163405977 As part of the python APIs you can host your data within Raphtory's GraphQL server. This makes it super easy to integrate your graphy analytics with web applications. -Below is a small example creating a graph, running a server hosting this data, and directly querying it with our GraphQL client. +Below is a small example creating a graph, running a server hosting this data, querying it with our GraphQL client, or visualising your data in the UI. ```python from raphtory import Graph @@ -207,6 +207,12 @@ When you host a Raphtory GraphQL server you get a web playground bundled in, acc ![GraphQL Playground](https://i.imgur.com/p0HH6v3.png) +### Graph Visualisation and Explorations +Once the GraphQL server is running, you can access the UI directly. If the server is hosted on port 1736, the UI will be available at http://localhost:1736. The UI allows you to search for data in Raphtory, explore connections, and visualise the graph effortlessly. + +![Graph User Interface](https://github.com/user-attachments/assets/65aec644-edf8-4db6-a932-5b63228e9e0d) + + ## Getting started To get you up and running with Raphtory we provide a full set of tutorials on the [Raphtory website](https://raphtory.com):