[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-4894":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":19,"rankGlobal":10,"rankLanguage":10,"license":20,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":21,"hasPages":21,"topics":23,"createdAt":10,"pushedAt":10,"updatedAt":28,"readmeContent":29,"aiSummary":30,"trendingCount":16,"starSnapshotCount":16,"syncStatus":31,"lastSyncTime":32,"discoverSource":33},4894,"cayley","cayleygraph\u002Fcayley","cayleygraph","An open-source graph database","https:\u002F\u002Fcayley.io",null,"Go",15042,1237,558,83,0,1,12,70.98,"Apache License 2.0",false,"master",[5,24,25,26,27],"go","graph","graph-database","linked-data","2026-06-12 04:00:23","\u003Cdiv align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fcayleygraph\u002Fcayley\">\n    \u003Cimg width=\"200\" src=\"https:\u002F\u002Fgithub.com\u002Fcayleygraph\u002Fbranding\u002Fraw\u002Fmaster\u002Fcayley_bottom.png\" alt=\"Cayley\">\n  \u003C\u002Fa>\n\u003C\u002Fdiv>\n\n![Tests](https:\u002F\u002Fgithub.com\u002Fcayleygraph\u002Fcayley\u002Factions\u002Fworkflows\u002Fbuild-and-release.yml\u002Fbadge.svg)\n\nCayley is an open-source database for [Linked Data](https:\u002F\u002Fwww.w3.org\u002Fstandards\u002Fsemanticweb\u002Fdata). It is inspired by the graph database behind Google's [Knowledge Graph](https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FKnowledge_Graph) (formerly [Freebase](https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FFreebase_(database))).\n\n[![Get it from the Snap Store](https:\u002F\u002Fsnapcraft.io\u002Fstatic\u002Fimages\u002Fbadges\u002Fen\u002Fsnap-store-white.svg)](https:\u002F\u002Fsnapcraft.io\u002Fcayley)\n\n## [Documentation](https:\u002F\u002Fcayley.gitbook.io\u002Fcayley\u002F)\n\n## Features\n\n- Built-in query editor, visualizer and REPL\n- Multiple query languages:\n  - [Gizmo](.\u002Fdocs\u002Fgizmoapi.md): query language inspired by [Gremlin](https:\u002F\u002Ftinkerpop.apache.org\u002Fgremlin.html)\n  - [GraphQL](.\u002Fdocs\u002Fgraphql.md)-inspired query language\n  - [MQL](.\u002Fdocs\u002Fmql.md): simplified version for [Freebase](https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FFreebase_(database)) fans\n- Modular: easy to connect to your favorite programming languages and back-end stores\n- Production ready: well tested and used by various companies for their production workloads\n- Fast: optimized specifically for usage in applications\n\n### Performance\n\nRough 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.\n\n## Community\n\n- Website: [cayley.io](https:\u002F\u002Fcayley.io)\n- Slack: [cayleygraph.slack.com](https:\u002F\u002Fcayleygraph.slack.com) -- Invite [here](https:\u002F\u002Fcayley-slackin.herokuapp.com\u002F)\n- Discourse list: [discourse.cayley.io](https:\u002F\u002Fdiscourse.cayley.io) (Also acts as mailing list, enable mailing list mode)\n- Twitter: [@cayleygraph](https:\u002F\u002Ftwitter.com\u002Fcayleygraph)\n- Involvement: [Contribute](.\u002Fdocs\u002Fcontributing.md)\n","Cayley 是一个开源的图数据库，专为处理链接数据设计。它支持多种查询语言（如Gizmo、GraphQL风格和MQL），并内置了查询编辑器、可视化工具和REPL环境，便于用户进行高效的数据探索与分析。此外，Cayley具有模块化特性，能够轻松地与多种编程语言及后端存储系统集成，并且经过充分测试，在生产环境中表现出色。特别适用于需要快速处理复杂关系网络的应用场景，比如知识图谱构建、社交网络分析等。",2,"2026-06-11 03:01:21","top_language"]