The official Node.js docker image, made with love by the node community.
<!-- START doctoc generated TOC please keep comment here to allow auto update --> <!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE -->Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
See: http://nodejs.org
Dockerfile
in your Node.js app project# specify the node base image with your desired version node:<version> FROM node:16 # replace this with your application's default port EXPOSE 8888
You can then build and run the Docker image:
$ docker build -t my-nodejs-app . $ docker run -it --rm --name my-running-app my-nodejs-app
If you prefer Docker Compose:
version: "2" services: node: image: "node:8" user: "node" working_dir: /home/node/app environment: - NODE_ENV=production volumes: - ./:/home/node/app expose: - "8081" ports: # use if it is necessary to expose the container to the host machine - "8001:8001" command: "npm start"
You can then run using Docker Compose:
$ docker-compose up -d
Docker Compose example mounts your current directory (including node_modules) to the container.
It assumes that your application has a file named package.json
defining start script.
We have assembled a Best Practices Guide for those using these images on a daily basis.
For many simple, single file projects, you may find it inconvenient to write a
complete Dockerfile
. In such cases, you can run a Node.js script by using the
Node.js Docker image directly:
$ docker run -it --rm --name my-running-script -v "$PWD":/usr/src/app -w /usr/src/app node:8 node your-daemon-or-script.js
Prior to 8.7.0 and 6.11.4, the docker images overrode the default npm log
level from warn
to info
. However, due to improvements to npm and new Docker
patterns (e.g. multi-stage builds) the working group reached a consensus
to revert the log level to npm defaults. If you need more verbose output, please
use one of the following methods to change the verbosity level.
If you create your own Dockerfile
which inherits from the node
image, you can
simply use ENV
to override NPM_CONFIG_LOGLEVEL
.
FROM node ENV NPM_CONFIG_LOGLEVEL info ...
If you run the node image using docker run
, you can use the -e
flag to
override NPM_CONFIG_LOGLEVEL
.
$ docker run -e NPM_CONFIG_LOGLEVEL=info node ...
If you are running npm commands, you can use --loglevel
to control the
verbosity of the output.
$ docker run node npm --loglevel=warn ...
The node
images come in many flavors, each designed for a specific use case.
All of the images contain pre-installed versions of node
,
npm
, and yarn
. For each
supported architecture, the supported variants are different. In the file:
versions.json, it lists all supported variants for all of
the architectures that we support now.
node:<version>
This is the defacto image. If you are unsure about what your needs are, you
probably want to use this one. It is designed to be used both as a throw away
container (mount your source code and start the container to start your app), as
well as the base to build other images off of. This tag is based off of
buildpack-deps
.
buildpack-deps
is designed for the average user of docker who has many images
on their system. It, by design, has a large number of extremely common Debian
packages. This reduces the number of packages that images that derive from it
need to install, thus reducing the overall size of all images on your system.
node:alpine
This image is based on the popular
Alpine Linux project, available in
the alpine
official image. Alpine Linux is
much smaller than most distribution base images (~5MB), and thus leads to much
slimmer images in general.
This variant is highly recommended when final image size being as small as possible is desired. The main caveat to note is that it does use musl libc instead of glibc and friends, so certain software might run into issues depending on the depth of their libc requirements. However, most software doesn't have an issue with this, so this variant is usually a very safe choice. See this Hacker News comment thread for more discussion of the issues that might arise and some pro/con comparisons of using Alpine-based images.
One common issue that may arise is a missing shared library required for use of
process.dlopen
. To add the missing shared libraries to your image:
For Alpine v3.18 and earlier, adding the
libc6-compat
package in your Dockerfile is recommended: apk add --no-cache libc6-compat
Starting from Alpine v3.19, you can use the
gcompat
package
to add the missing shared libraries: apk add --no-cache gcompat
To minimize image size, it's uncommon for additional related tools
(such as git
or bash
) to be included in Alpine-based images. Using this
image as a base, add the things you need in your own Dockerfile
(see the alpine
image description for
examples of how to install packages if you are unfamiliar).
To make the image size even smaller, you can bundle without npm/yarn.
node:bullseye
This image is based on version 11 of
Debian, available in
the debian
official image.
node:bookworm
This image is based on version 12 of
Debian, available in
the debian
official image.
node:slim
This image does not contain the common packages contained in the default tag and
only contains the minimal packages needed to run node
. Unless you are working
in an environment where only the Node.js image will be deployed and you have
space constraints, we highly recommend using the default image of this
repository.
License information for the software contained in this image. License information for the Node.js Docker project.
This image is officially supported on Docker version 1.9.1.
Support for older versions (down to 1.6) is provided on a best-effort basis.
Please see the Docker installation documentation for details on how to upgrade your Docker daemon.
This project will support Node.js versions as still under active support as per the Node.js release schedule.
The Node.js Docker Image is governed by the Docker Working Group. See GOVERNANCE.md to learn more about the group's structure and CONTRIBUTING.md for guidance about the expectations for all contributors to this project.
全能AI智能助手,随时解答生活与工作的多样问题
问小白,由元石科技研发的AI智能助手,快速准确地解答各种生活和工作问题,包括但不限于搜索、规划和社交互动,帮助用户在日常生活中提高效率,轻松管理个人事务。
实时语音翻译/同声传译工具
Transly是一个多 场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。
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。
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。
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。
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。
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。
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 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。
最新AI工具、AI资讯
独家AI资源、AI项目落地
微信扫一扫关注公众号