jellyfin

jellyfin

开源跨平台媒体服务器和流媒体解决方案

Jellyfin是一个开源的跨平台媒体服务器系统,支持自主管理和流式传输个人媒体内容。它提供多种客户端应用,可在不同设备上访问媒体库,无需付费许可或隐藏功能。Jellyfin由开发者社区维护,致力于改进媒体管理体验。用户可以方便地搭建私人媒体中心,随时随地欣赏自己的音视频收藏。

Jellyfin媒体系统开源软件流媒体跨平台Github开源项目
<h1 align="center">Jellyfin</h1> <h3 align="center">The Free Software Media System</h3>
<p align="center"> <img alt="Logo Banner" src="https://raw.githubusercontent.com/jellyfin/jellyfin-ux/master/branding/SVG/banner-logo-solid.svg?sanitize=true"/> <br/> <br/> <a href="https://github.com/jellyfin/jellyfin"> <img alt="GPL 2.0 License" src="https://img.shields.io/github/license/jellyfin/jellyfin.svg"/> </a> <a href="https://github.com/jellyfin/jellyfin/releases"> <img alt="Current Release" src="https://img.shields.io/github/release/jellyfin/jellyfin.svg"/> </a> <a href="https://translate.jellyfin.org/projects/jellyfin/jellyfin-core/?utm_source=widget"> <img alt="Translation Status" src="https://translate.jellyfin.org/widgets/jellyfin/-/jellyfin-core/svg-badge.svg"/> </a> <a href="https://hub.docker.com/r/jellyfin/jellyfin"> <img alt="Docker Pull Count" src="https://img.shields.io/docker/pulls/jellyfin/jellyfin.svg"/> </a> <br/> <a href="https://opencollective.com/jellyfin"> <img alt="Donate" src="https://img.shields.io/opencollective/all/jellyfin.svg?label=backers"/> </a> <a href="https://features.jellyfin.org"> <img alt="Submit Feature Requests" src="https://img.shields.io/badge/fider-vote%20on%20features-success.svg"/> </a> <a href="https://matrix.to/#/#jellyfinorg:matrix.org"> <img alt="Chat on Matrix" src="https://img.shields.io/matrix/jellyfinorg:matrix.org.svg?logo=matrix"/> </a> <a href="https://github.com/jellyfin/jellyfin/releases.atom"> <img alt="Release RSS Feed" src="https://img.shields.io/badge/rss-releases-ffa500?logo=rss" /> </a> <a href="https://github.com/jellyfin/jellyfin/commits/master.atom"> <img alt="Master Commits RSS Feed" src="https://img.shields.io/badge/rss-commits-ffa500?logo=rss" /> </a> </p>

Jellyfin is a Free Software Media System that puts you in control of managing and streaming your media. It is an alternative to the proprietary Emby and Plex, to provide media from a dedicated server to end-user devices via multiple apps. Jellyfin is descended from Emby's 3.5.2 release and ported to the .NET Core framework to enable full cross-platform support. There are no strings attached, no premium licenses or features, and no hidden agendas: just a team who want to build something better and work together to achieve it. We welcome anyone who is interested in joining us in our quest!

For further details, please see our documentation page. To receive the latest updates, get help with Jellyfin, and join the community, please visit one of our communication channels. For more information about the project, please see our about page.

<strong>Want to get started?</strong><br/> Check out our <a href="https://jellyfin.org/downloads">downloads page</a> or our <a href="https://jellyfin.org/docs/general/installation/">installation guide</a>, then see our <a href="https://jellyfin.org/docs/general/quick-start">quick start guide</a>. You can also <a href="https://jellyfin.org/docs/general/installation/source">build from source</a>.<br/>

<strong>Something not working right?</strong><br/> Open an <a href="https://jellyfin.org/docs/general/contributing/issues">Issue</a> on GitHub.<br/>

<strong>Want to contribute?</strong><br/> Check out our <a href="https://jellyfin.org/contribute">contributing choose-your-own-adventure</a> to see where you can help, then see our <a href="https://jellyfin.org/docs/general/contributing/">contributing guide</a> and our <a href="https://jellyfin.org/docs/general/community-standards">community standards</a>.<br/>

<strong>New idea or improvement?</strong><br/> Check out our <a href="https://features.jellyfin.org/?view=most-wanted">feature request hub</a>.<br/>

<strong>Don't see Jellyfin in your language?</strong><br/> Check out our <a href="https://translate.jellyfin.org">Weblate instance</a> to help translate Jellyfin and its subprojects.<br/>

<a href="https://translate.jellyfin.org/engage/jellyfin/?utm_source=widget"> <img src="https://translate.jellyfin.org/widgets/jellyfin/-/jellyfin-web/multi-auto.svg" alt="Detailed Translation Status"/> </a>

Jellyfin Server

This repository contains the code for Jellyfin's backend server. Note that this is only one of many projects under the Jellyfin GitHub organization on GitHub. If you want to contribute, you can start by checking out our documentation to see what to work on.

Server Development

These instructions will help you get set up with a local development environment in order to contribute to this repository. Before you start, please be sure to completely read our guidelines on development contributions. Note that this project is supported on all major operating systems except FreeBSD, which is still incompatible.

Prerequisites

Before the project can be built, you must first install the .NET 8.0 SDK on your system.

Instructions to run this project from the command line are included here, but you will also need to install an IDE if you want to debug the server while it is running. Any IDE that supports .NET 6 development will work, but two options are recent versions of Visual Studio (at least 2022) and Visual Studio Code.

ffmpeg will also need to be installed.

Cloning the Repository

After dependencies have been installed you will need to clone a local copy of this repository. If you just want to run the server from source you can clone this repository directly, but if you are intending to contribute code changes to the project, you should set up your own fork of the repository. The following example shows how you can clone the repository directly over HTTPS.

git clone https://github.com/jellyfin/jellyfin.git

Installing the Web Client

The server is configured to host the static files required for the web client in addition to serving the backend by default. Before you can run the server, you will need to get a copy of the web client since they are not included in this repository directly.

Note that it is also possible to host the web client separately from the web server with some additional configuration, in which case you can skip this step.

There are three options to get the files for the web client.

  1. Download one of the finished builds from the Azure DevOps pipeline. You can download the build for a specific release by looking at the branches tab of the pipelines page.
  2. Build them from source following the instructions on the jellyfin-web repository
  3. Get the pre-built files from an existing installation of the server. For example, with a Windows server installation the client files are located at C:\Program Files\Jellyfin\Server\jellyfin-web

Running The Server

The following instructions will help you get the project up and running via the command line, or your preferred IDE.

Running With Visual Studio

To run the project with Visual Studio you can open the Solution (.sln) file and then press F5 to run the server.

Running With Visual Studio Code

To run the project with Visual Studio Code you will first need to open the repository directory with Visual Studio Code using the Open Folder... option.

Second, you need to install the recommended extensions for the workspace. Note that extension recommendations are classified as either "Workspace Recommendations" or "Other Recommendations", but only the "Workspace Recommendations" are required.

After the required extensions are installed, you can run the server by pressing F5.

Running From the Command Line

To run the server from the command line you can use the dotnet run command. The example below shows how to do this if you have cloned the repository into a directory named jellyfin (the default directory name) and should work on all operating systems.

cd jellyfin # Move into the repository directory dotnet run --project Jellyfin.Server --webdir /absolute/path/to/jellyfin-web/dist # Run the server startup project

A second option is to build the project and then run the resulting executable file directly. When running the executable directly you can easily add command line options. Add the --help flag to list details on all the supported command line options.

  1. Build the project
dotnet build # Build the project cd Jellyfin.Server/bin/Debug/net8.0 # Change into the build output directory
  1. Execute the build output. On Linux, Mac, etc. use ./jellyfin and on Windows use jellyfin.exe.

Accessing the Hosted Web Client

If the Server is configured to host the Web Client, and the Server is running, the Web Client can be accessed at http://localhost:8096 by default.

API documentation can be viewed at http://localhost:8096/api-docs/swagger/index.html

Running from GitHub Codespaces

As Jellyfin will run on a container on a GitHub hosted server, JF needs to handle some things differently.

NOTE: Depending on the selected configuration (if you just click 'create codespace' it will create a default configuration one) it might take 20-30 seconds to load all extensions and prepare the environment while VS Code is already open. Just give it some time and wait until you see Downloading .NET version(s) 7.0.15~x64 ...... Done! in the output tab.

NOTE: If you want to access the JF instance from outside, like with a WebClient on another PC, remember to set the "ports" in the lower VS Code window to public.

NOTE: When first opening the server instance with any WebUI, you will be sent to the login instead of the setup page. Refresh the login page once and you should be redirected to the Setup.

There are two configurations for you to choose from.

Default - Development Jellyfin Server

This creates a container that has everything to run and debug the Jellyfin Media server but does not setup anything else. Each time you create a new container you have to run through the whole setup again. There is also no ffmpeg, webclient or media preloaded. Use the .NET Launch (nowebclient) launch config to start the server.

Keep in mind that as this has no web client you have to connect to it via an external client. This can be just another codespace container running the WebUI. vuejs does not work from the get-go as it does not support the setup steps.

Development Jellyfin Server ffmpeg

this extends the default server with a default installation of ffmpeg6 though the means described here: https://jellyfin.org/docs/general/installation/linux#repository-manual If you want to install a specific ffmpeg version, follow the comments embedded in the .devcontainer/Dev - Server Ffmpeg/install.ffmpeg.sh file.

Use the ghcs .NET Launch (nowebclient, ffmpeg) launch config to run with the jellyfin-ffmpeg enabled.

Running The Tests

This repository also includes unit tests that are used to validate functionality as part of a CI pipeline on Azure. There are several ways to run these tests.

  1. Run tests from the command line using dotnet test
  2. Run tests in Visual Studio using the Test Explorer
  3. Run individual tests in Visual Studio Code using the associated CodeLens annotation

Advanced Configuration

The following sections describe some more advanced scenarios for running the server from source that build upon the standard instructions above.

Hosting The Web Client Separately

It is not necessary to host the frontend web client as part of the backend server. Hosting these two components separately may be useful for frontend developers who would prefer to host the client in a separate webpack development server for a tighter development loop. See the jellyfin-web repo for instructions on how to do this.

To instruct the server not to host the web content, there is a nowebclient configuration flag that must be set. This can be specified using the command line switch --nowebclient or the environment variable JELLYFIN_NOWEBCONTENT=true.

Since this is a common scenario, there is also a separate launch profile defined for Visual Studio called Jellyfin.Server (nowebcontent) that can be selected from the 'Start Debugging' dropdown in the main toolbar.

NOTE: The setup wizard cannot be run if the web client is hosted separately.


<p align="center"> This project is supported by: <br/> <br/> <a href="https://www.digitalocean.com"><img src="https://opensource.nyc3.cdn.digitaloceanspaces.com/attribution/assets/SVG/DO_Logo_horizontal_blue.svg" height="50px" alt="DigitalOcean"></a> &nbsp; <a href="https://www.jetbrains.com"><img src="https://gist.githubusercontent.com/anthonylavado/e8b2403deee9581e0b4cb8cd675af7db/raw/fa104b7d73f759d7262794b94569f1b89df41c0b/jetbrains.svg" height="50px" alt="JetBrains

编辑推荐精选

讯飞智文

讯飞智文

一键生成PPT和Word,让学习生活更轻松

讯飞智文是一个利用 AI 技术的项目,能够帮助用户生成 PPT 以及各类文档。无论是商业领域的市场分析报告、年度目标制定,还是学生群体的职业生涯规划、实习避坑指南,亦或是活动策划、旅游攻略等内容,它都能提供支持,帮助用户精准表达,轻松呈现各种信息。

AI办公办公工具AI工具讯飞智文AI在线生成PPTAI撰写助手多语种文档生成AI自动配图热门
讯飞星火

讯飞星火

深度推理能力全新升级,全面对标OpenAI o1

科大讯飞的星火大模型,支持语言理解、知识问答和文本创作等多功能,适用于多种文件和业务场景,提升办公和日常生活的效率。讯飞星火是一个提供丰富智能服务的平台,涵盖科技资讯、图像创作、写作辅助、编程解答、科研文献解读等功能,能为不同需求的用户提供便捷高效的帮助,助力用户轻松获取信息、解决问题,满足多样化使用场景。

热门AI开发模型训练AI工具讯飞星火大模型智能问答内容创作多语种支持智慧生活
Spark-TTS

Spark-TTS

一种基于大语言模型的高效单流解耦语音令牌文本到语音合成模型

Spark-TTS 是一个基于 PyTorch 的开源文本到语音合成项目,由多个知名机构联合参与。该项目提供了高效的 LLM(大语言模型)驱动的语音合成方案,支持语音克隆和语音创建功能,可通过命令行界面(CLI)和 Web UI 两种方式使用。用户可以根据需求调整语音的性别、音高、速度等参数,生成高质量的语音。该项目适用于多种场景,如有声读物制作、智能语音助手开发等。

Trae

Trae

字节跳动发布的AI编程神器IDE

Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。

AI工具TraeAI IDE协作生产力转型热门
咔片PPT

咔片PPT

AI助力,做PPT更简单!

咔片是一款轻量化在线演示设计工具,借助 AI 技术,实现从内容生成到智能设计的一站式 PPT 制作服务。支持多种文档格式导入生成 PPT,提供海量模板、智能美化、素材替换等功能,适用于销售、教师、学生等各类人群,能高效制作出高品质 PPT,满足不同场景演示需求。

讯飞绘文

讯飞绘文

选题、配图、成文,一站式创作,让内容运营更高效

讯飞绘文,一个AI集成平台,支持写作、选题、配图、排版和发布。高效生成适用于各类媒体的定制内容,加速品牌传播,提升内容营销效果。

热门AI辅助写作AI工具讯飞绘文内容运营AI创作个性化文章多平台分发AI助手
材料星

材料星

专业的AI公文写作平台,公文写作神器

AI 材料星,专业的 AI 公文写作辅助平台,为体制内工作人员提供高效的公文写作解决方案。拥有海量公文文库、9 大核心 AI 功能,支持 30 + 文稿类型生成,助力快速完成领导讲话、工作总结、述职报告等材料,提升办公效率,是体制打工人的得力写作神器。

openai-agents-python

openai-agents-python

OpenAI Agents SDK,助力开发者便捷使用 OpenAI 相关功能。

openai-agents-python 是 OpenAI 推出的一款强大 Python SDK,它为开发者提供了与 OpenAI 模型交互的高效工具,支持工具调用、结果处理、追踪等功能,涵盖多种应用场景,如研究助手、财务研究等,能显著提升开发效率,让开发者更轻松地利用 OpenAI 的技术优势。

Hunyuan3D-2

Hunyuan3D-2

高分辨率纹理 3D 资产生成

Hunyuan3D-2 是腾讯开发的用于 3D 资产生成的强大工具,支持从文本描述、单张图片或多视角图片生成 3D 模型,具备快速形状生成能力,可生成带纹理的高质量 3D 模型,适用于多个领域,为 3D 创作提供了高效解决方案。

3FS

3FS

一个具备存储、管理和客户端操作等多种功能的分布式文件系统相关项目。

3FS 是一个功能强大的分布式文件系统项目,涵盖了存储引擎、元数据管理、客户端工具等多个模块。它支持多种文件操作,如创建文件和目录、设置布局等,同时具备高效的事件循环、节点选择和协程池管理等特性。适用于需要大规模数据存储和管理的场景,能够提高系统的性能和可靠性,是分布式存储领域的优质解决方案。

下拉加载更多