https://github.com/google/cayley
Tip revision: 8bbde65b92fce5263289e8bdd1e12d2f050b6dae authored by Derek Liang on 28 October 2017, 08:15:05 UTC
fix recursive test
fix recursive test
Tip revision: 8bbde65
README.md
<p align="center">
<img src="static/branding/cayley_side.png?raw=true" alt="Cayley" />
</p>
Cayley 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).
Its 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.
[![Build Status](https://travis-ci.org/cayleygraph/cayley.png?branch=master)](https://travis-ci.org/cayleygraph/cayley)
[![Container Repository on Quay](https://quay.io/repository/cayleygraph/cayley/status "Container Repository on Quay")](https://quay.io/repository/cayleygraph/cayley)
[![Slack Status](https://cayley-slackin.herokuapp.com/badge.svg)](https://cayley-slackin.herokuapp.com/)
## Features
* Community driven
* Written in [Go](http://golang.org)
* can be used as a Go library
* Easy to get running (3 or 4 commands, below)
* RESTful API
* or a REPL if you prefer
* Built-in query editor and visualizer
* Multiple query languages:
* [Gizmo](./docs/GizmoAPI.md) - a JavaScript, with a [Gremlin](http://gremlindocs.com/)-inspired\* graph object.
* [GraphQL](./docs/GraphQL.md)-inspired\* query language.
* (simplified) [MQL](./docs/MQL.md), for [Freebase](https://en.wikipedia.org/wiki/Freebase) fans
* Plays well with multiple backend stores:
* KVs: [Bolt](https://github.com/boltdb/bolt), [LevelDB](https://github.com/google/leveldb)
* NoSQL: [MongoDB](https://www.mongodb.org)
* SQL: [PostgreSQL](http://www.postgresql.org), [CockroachDB](https://www.cockroachlabs.com), [MySQL](https://www.mysql.com)
* In-memory, ephemeral
* Modular design; easy to extend with new languages and backends
* Good test coverage
* Speed, where possible.
Rough 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.
## Community
* Website: [cayley.io](https://cayley.io)
* Slack: [cayleygraph.slack.com](https://cayleygraph.slack.com) -- Invite [here](https://cayley-slackin.herokuapp.com/)
* Discourse list: [discourse.cayley.io](https://discourse.cayley.io) (Also acts as mailing list, enable mailing list mode)
* Twitter: [@cayleygraph](https://twitter.com/cayleygraph)
## Documentation
* See the [docs folder](docs/)