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JanusGraph: an open-source, distributed graph database
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Read the full README ↗JanusGraph is a highly scalable graph database optimized for storing and querying large graphs with billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a transactional database that can support thousands of concurrent users, complex traversals, and analytic graph queries.
The project homepage contains more information on JanusGraph and provides links to documentation, getting-started guides and release downloads.
JanusGraph has a web-based graph visualizer located in janusgraph-visualizer repository.
In additional to the web-based graph visualizer, JanusGraph supports a range of third party graph visualizers listed below:
GitHub Discussions: see GitHub Discussions
for all general discussions and questions about JanusGraph
Discord for interactive discussions and questions about JanusGraph: Join the server
Stack Overflow: see the
janusgraph tag
Twitter: follow @JanusGraph for news and updates
LinkedIn: follow JanusGraph for news and updates
Mailing lists:
janusgraph-users (at) lists.lfaidata.foundation (archives) for questions about using JanusGraph, installation, configuration, integrations
To join with a LF AI & Data account, use the web UI; to subscribe/unsubscribe with an arbitrary email address, send an email to:
janusgraph-dev (at) lists.lfaidata.foundation (archives) for internal implementation of JanusGraph itself
To join with a LF AI & Data account, use the web UI; to subscribe/unsubscribe with an arbitrary email address, send an email to:
janusgraph-announce (at) lists.lfaidata.foundation () for new releases and news announcements
Please see CONTRIBUTING.md for more information, including
CLAs and best practices for working with GitHub.
The following users have deployed JanusGraph in production.
If you use JanusGraph in your research, please cite it using this metadata:
@software{janusgraph_2024,
title = {JanusGraph: an open-source, distributed graph database},
author = {{JanusGraph Contributors}},
year = {2024},
version = {1.1.0},
publisher = {Zenodo},
doi = {10.5281/zenodo.14807604}
}
To join with a LF AI & Data account, use the web UI; to subscribe/unsubscribe with an arbitrary email address, send an email to: