1<p align="center">
2  <img src="static/branding/cayley_side.png?raw=true" alt="Cayley" />
3</p>
4
5Cayley is an open-source graph inspired by the graph database behind [Freebase](http://freebase.com) and Google's [Knowledge Graph](https://en.wikipedia.org/wiki/Knowledge_Graph).
6
7Its goal is to be a part of the developer's toolbox where [Linked Data](http://linkeddata.org/) and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
8
9[![Build Status](https://travis-ci.org/cayleygraph/cayley.svg?branch=master)](https://travis-ci.org/cayleygraph/cayley)
10[![Container Repository on Quay](https://quay.io/repository/cayleygraph/cayley/status "Container Repository on Quay")](https://quay.io/repository/cayleygraph/cayley)
11
12[![Slack Status](https://cayley-slackin.herokuapp.com/badge.svg)](https://cayley-slackin.herokuapp.com/)
13
14## Features
15
16* Community driven
17* Written in [Go](https://golang.org)
18  * can be used as a Go library
19* Easy to get running (3 or 4 commands)
20* RESTful API
21  * or a REPL if you prefer
22* Built-in query editor and visualizer
23* Multiple query languages:
24  * [Gizmo](./docs/GizmoAPI.md) - a JavaScript, with a [Gremlin](http://gremlindocs.com/)-inspired\* graph object.
25  * [GraphQL](./docs/GraphQL.md)-inspired\* query language.
26  * (simplified) [MQL](./docs/MQL.md), for [Freebase](https://en.wikipedia.org/wiki/Freebase) fans
27* Plays well with multiple backend stores:
28  * KVs: [Bolt](https://github.com/boltdb/bolt), [LevelDB](https://github.com/google/leveldb)
29  * NoSQL: [MongoDB](https://www.mongodb.org), [ElasticSearch](https://www.elastic.co/products/elasticsearch), [CouchDB](http://couchdb.apache.org/)/[PouchDB](https://pouchdb.com/)
30  * SQL: [PostgreSQL](http://www.postgresql.org), [CockroachDB](https://www.cockroachlabs.com), [MySQL](https://www.mysql.com)
31  * In-memory, ephemeral
32* Modular design; easy to extend with new languages and backends
33* Good test coverage
34* Speed, where possible.
35
36Rough performance testing shows that, on 2014 consumer hardware and an average disk, 134m quads in LevelDB is no problem and a multi-hop intersection query -- films starring X and Y -- takes ~150ms.
37
38
39## Community
40
41* Website: [cayley.io](https://cayley.io)
42* Slack: [cayleygraph.slack.com](https://cayleygraph.slack.com) -- Invite [here](https://cayley-slackin.herokuapp.com/)
43* Discourse list: [discourse.cayley.io](https://discourse.cayley.io) (Also acts as mailing list, enable mailing list mode)
44* Twitter: [@cayleygraph](https://twitter.com/cayleygraph)
45
46## Documentation
47
48* See the [docs folder](docs/) for v0.7 docs.
49