[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-7926":3},{"id":4,"name":5,"fullName":6,"owner":5,"repo":5,"description":7,"homepage":8,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":9,"rankLanguage":9,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":22,"topics":25,"createdAt":9,"pushedAt":9,"updatedAt":31,"readmeContent":32,"aiSummary":33,"trendingCount":15,"starSnapshotCount":15,"syncStatus":16,"lastSyncTime":34,"discoverSource":35},7926,"danbooru","danbooru\u002Fdanbooru","A taggable image board written in Rails.","",null,"Ruby",2742,445,73,465,0,2,11,40,8,73.45,"Other",false,"master",true,[26,27,5,28,29,30],"anime","booru","imageboard","rails","ruby","2026-06-12 04:00:36","[\u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fcodespaces\u002Fbadge.svg\" height=\"20\">](https:\u002F\u002Fcodespaces.new\u002Fdanbooru\u002Fdanbooru?quickstart=1) [![Discord](https:\u002F\u002Fimg.shields.io\u002Fdiscord\u002F310432830138089472?label=Discord)](https:\u002F\u002Fdiscord.gg\u002Fdanbooru) [![codecov](https:\u002F\u002Fcodecov.io\u002Fgh\u002Fdanbooru\u002Fdanbooru\u002Fbranch\u002Fmaster\u002Fgraph\u002Fbadge.svg)](https:\u002F\u002Fcodecov.io\u002Fgh\u002Fdanbooru\u002Fdanbooru)\n\n## Quickstart\n\n### Using Github Codespaces\n\nTo launch a Danbooru instance in your browser:\n\n1. [Create a Github account](https:\u002F\u002Fgithub.com\u002Fsignup).\n2. Click [Open in Github Codespaces](https:\u002F\u002Fcodespaces.new\u002Fdanbooru\u002Fdanbooru?quickstart=1).\n3. Click the `Create new codespace` button.\n4. Wait a few minutes for it to launch.\n\nWhen it's done, you'll have a new Danbooru instance with a full development environment running in your browser. This way you can try out Danbooru without installing anything on your computer.\n\nSee the [Codespaces section](https:\u002F\u002Fgithub.com\u002Fdanbooru\u002Fdanbooru\u002Fwiki\u002FDocker-Guide#user-content-running-in-github-codespaces) in the [Docker Guide](https:\u002F\u002Fgithub.com\u002Fdanbooru\u002Fdanbooru\u002Fwiki\u002FDocker-Guide) to learn more.\n\n### Using Docker\n\nRun this to start a Danbooru instance:\n\n```sh\nsh -c \"$(curl -sSL https:\u002F\u002Fraw.githubusercontent.com\u002Fdanbooru\u002Fdanbooru\u002Fmaster\u002Fbin\u002Fsetup)\"\n```\n\nThis will install [Docker Compose](https:\u002F\u002Fdocs.docker.com\u002Fcompose\u002F) and start Danbooru. When it's done, Danbooru will be running at http:\u002F\u002Flocalhost:3000.\n\nAlternatively, if you already have Docker Compose installed, you can do:\n\n```sh\ngit clone http:\u002F\u002Fgithub.com\u002Fdanbooru\u002Fdanbooru\ncd danbooru\ntouch .env.local config\u002Fdanbooru_local_config.rb\nsudo docker compose up\n```\n\nWhen you're done, you can run the following to delete everything:\n\n```sh\nsudo docker compose down --volumes # Delete all data and images in your Danbooru instance.\nsudo docker image prune            # Clean up all unused Docker images.\nrm -rf ~\u002Fdanbooru                  # Delete the Danbooru code.\n```\n\n## Installation\n\nSee the [Docker Guide](https:\u002F\u002Fgithub.com\u002Fdanbooru\u002Fdanbooru\u002Fwiki\u002FDocker-Guide) for more information on running Danbooru using Docker. This is the recommended way to run Danbooru.\n\nAlternatively, you may use the [Manual Installation Guide](https:\u002F\u002Fgithub.com\u002Fdanbooru\u002Fdanbooru\u002Fwiki\u002FManual-Installation-Guide) to install Danbooru without Docker. Manual installation is much more difficult than using Docker, and therefore is not recommended or officially supported.\n\nFor help, ask in the [#technical](https:\u002F\u002Fdiscord.com\u002Fchannels\u002F310432830138089472\u002F310846683376517121) channel on the [Danbooru Discord](https:\u002F\u002Fdiscord.gg\u002Fdanbooru), or in the [discussions area](https:\u002F\u002Fgithub.com\u002Fdanbooru\u002Fdanbooru\u002Fdiscussions) on Github.\n\n## Dependencies\n\nDanbooru depends on a couple of cloud services and several microservices to implement certain features.\n\n### Amazon Web Services\n\nIn the production environment, for historical reasons, Danbooru relies on Amazon AWS to send pool\u002Fpost versions to a SQS queue, and on a separate archives service ([available here](https:\u002F\u002Fgithub.com\u002Fdanbooru\u002Farchives\u002F)) to extract the versions from that queue and insert them into a database.\n\nThe Docker Compose files in this repository come with a preconfigured archives service and an SQS mock using [ElasticMQ](https:\u002F\u002Fgithub.com\u002Fsoftwaremill\u002Felasticmq), so following the docker tutorial at the start of this file is sufficient to have post\u002Fpool versions working for a new instance.\n\n### Google APIs\n\nThere is an optional background job that exports a copy of all public API data to BigQuery. This requires a Google Cloud account.\n\n### IQDB Service\n\nIQDB integration is delegated to the [IQDB service](https:\u002F\u002Fgithub.com\u002Fdanbooru\u002Fiqdb).\n\n### Reportbooru Service\n\nThe following features are delegated to the [Reportbooru service](https:\u002F\u002Fgithub.com\u002Fdanbooru\u002Freportbooru):\n\n* Post views\n* Missed searches report\n* Popular searches report\n\n### Recommender Service\n\nPost recommendations require the [Recommender service](https:\u002F\u002Fgithub.com\u002Fdanbooru\u002Frecommender).\n\n## Development\n\nSee [docs\u002FREADME.md](docs\u002FREADME.md) for information on the project structure, development workflow, and how to contribute.\n","Danbooru 是一个基于 Ruby on Rails 开发的可标记图像板。其核心功能包括用户可以上传、浏览和搜索带有标签的图片，支持复杂的搜索语法以及高级过滤选项，非常适合动漫爱好者或需要管理大量带标签图像的用户使用。技术上，Danbooru 采用 Ruby 语言编写，并且能够通过 Docker 容器化部署，简化了安装与运行过程。此外，该项目提供了详细的文档和支持渠道如 Discord 社区，帮助开发者快速上手。对于希望搭建个人或社区级图像分享平台的人来说，Danbooru 是一个理想的选择。","2026-06-11 03:15:05","top_language"]