Introducing Graph Explorer (alpha) — a new Graph Data Visualiser in Town

Ravi Raja Merugu
Invana
Published in
3 min readJun 23, 2020

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Open source, extendable data visualiser for Apache TinkerPop’s Gremlin supported graph databases.

Graph Explorer Interface

In the words of General Patton, “If a man does his best, what else is there!”, so I believe there is always a next best thing. In the spirit of every `new technology` that disrupts the way Humans solves the problems. This project is yet an attempt to gather the best of the tech from graph computing and data visualisations, to give Innovators a great way to find problems and the solutions with the help of data.

Also, I’m really excited about the potential of Graph Databases — they establish connections between the data during the write operations, giving faster read time abilities for handling complex queries like never before.

This project is shared under open source Apache License 2.0 license. Please feel free to try it out (link shared in the end of the blog), contribute and star the project at Github. Note: For the demo to work, you still need a gremlin server running on your local or remote.

How to start your own gremlin server

We can use JanusGraph — a distributed, open source, massively scalable graph database for this purpose.

“JanusGraph is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster.

You can start a server instance with the docker using `docker run -it -p 8182:8182 janusgraph/janusgraph`. More installation methods can be found here.

Once the server the gremlin server is up and running. Try it out in the demo link.

Here are the screenshots for quick overview and a demo video.

Here is the demo video

I will share the roadmap of the project soon. If you find this open source project interesting, Please follow us on Twitter for more updates. Feel free to share it :)

Cheers.

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Diving Deep into Graph Databases | Founder @Invana | Graph Science Lead @EONCollective