docker.io/jupyter/minimal-notebook:latest linux/amd64

docker.io/jupyter/minimal-notebook:latest - 国内下载镜像源 浏览次数:37

温馨提示:此镜像为latest tag镜像,本站无法保证此版本为最新镜像

```html

这是一个包含Jupyter Notebook的最小化Docker镜像。它提供了一个轻量级的环境,用于运行Jupyter Notebook,非常适合快速启动和测试。

```
源镜像 docker.io/jupyter/minimal-notebook:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/minimal-notebook:latest
镜像ID sha256:e75d34b8f32b679157e9f7fd9075e6d568b4f9e9080d94883ded26e7677e4d13
镜像TAG latest
大小 1.56GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD start-notebook.py
启动入口 tini -g --
工作目录 /home/jovyan
OS/平台 linux/amd64
浏览量 37 次
贡献者
镜像创建 2023-10-20T01:56:46.655228844Z
同步时间 2025-02-11 10:56
更新时间 2025-02-21 22:26
开放端口
8888/tcp
环境变量
PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin DEBIAN_FRONTEND=noninteractive CONDA_DIR=/opt/conda SHELL=/bin/bash NB_USER=jovyan NB_UID=1000 NB_GID=100 LC_ALL=en_US.UTF-8 LANG=en_US.UTF-8 LANGUAGE=en_US.UTF-8 HOME=/home/jovyan JUPYTER_PORT=8888
镜像标签
Jupyter Project <jupyter@googlegroups.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 22.04 扫描引擎: Trivy 扫描时间: 2025-02-11 10:56

低危漏洞:164 中危漏洞:245 高危漏洞:17 严重漏洞:0

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/minimal-notebook:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/minimal-notebook:latest  docker.io/jupyter/minimal-notebook:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/minimal-notebook:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/minimal-notebook:latest  docker.io/jupyter/minimal-notebook:latest

Shell快速替换命令

sed -i 's#jupyter/minimal-notebook:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/minimal-notebook:latest#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/minimal-notebook:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/minimal-notebook:latest  docker.io/jupyter/minimal-notebook:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/minimal-notebook:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/minimal-notebook:latest  docker.io/jupyter/minimal-notebook:latest'

镜像构建历史


# 2023-10-20 09:56:46  2.34KB 复制新文件或目录到容器中
COPY setup-scripts/ /opt/setup-scripts/ # buildkit
                        
# 2023-10-20 09:56:46  292.00B 复制新文件或目录到容器中
COPY Rprofile.site /opt/conda/lib/R/etc/ # buildkit
                        
# 2023-10-20 09:56:46  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-20 09:56:46  10.75KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c update-alternatives --install /usr/bin/nano nano /bin/nano-tiny 10 # buildkit
                        
# 2023-10-20 09:56:46  494.53MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update --yes &&     apt-get install --yes --no-install-recommends     curl     git     nano-tiny     tzdata     unzip     vim-tiny     openssh-client     less     texlive-xetex     texlive-fonts-recommended     texlive-plain-generic     xclip &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-10-20 09:56:46  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-10-20 09:56:46  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-10-20 09:56:46  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-10-20 09:50:16  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2023-10-20 09:50:16  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-20 09:50:16  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "/etc/jupyter/docker_healthcheck.py || exit 1"] "5s" "3s" "5s" '\x03'}
                        
# 2023-10-20 09:50:16  2.50KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c fix-permissions /etc/jupyter/ # buildkit
                        
# 2023-10-20 09:50:15  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-10-20 09:50:15  2.50KB 复制新文件或目录到容器中
COPY jupyter_server_config.py docker_healthcheck.py /etc/jupyter/ # buildkit
                        
# 2023-10-20 09:50:15  2.51KB 复制新文件或目录到容器中
COPY start-notebook.py start-notebook.sh start-singleuser.py start-singleuser.sh /usr/local/bin/ # buildkit
                        
# 2023-10-20 09:50:15  0.00B 设置默认要执行的命令
CMD ["start-notebook.py"]
                        
# 2023-10-20 09:50:15  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2023-10-20 09:50:15  0.00B 设置环境变量 JUPYTER_PORT
ENV JUPYTER_PORT=8888
                        
# 2023-10-20 09:50:15  517.62MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c mamba install --yes     'jupyterlab'     'notebook'     'jupyterhub'     'nbclassic' &&     jupyter server --generate-config &&     mamba clean --all -f -y &&     npm cache clean --force &&     jupyter lab clean &&     rm -rf "/home/${NB_USER}/.cache/yarn" &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-10-20 09:49:01  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-10-20 09:49:01  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-20 09:49:01  158.43MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update --yes &&     apt-get install --yes --no-install-recommends     fonts-liberation     pandoc     run-one &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-10-20 09:49:01  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-10-20 09:49:01  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-10-20 09:49:01  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-10-20 09:46:58  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2023-10-20 09:46:58  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-20 09:46:58  0.00B 执行命令并创建新的镜像层
RUN |4 NB_USER=jovyan NB_UID=1000 NB_GID=100 PYTHON_VERSION=3.11 /bin/bash -o pipefail -c mkdir /usr/local/bin/start-notebook.d &&     mkdir /usr/local/bin/before-notebook.d # buildkit
                        
# 2023-10-20 09:46:57  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-10-20 09:46:57  12.96KB 复制新文件或目录到容器中
COPY run-hooks.sh start.sh /usr/local/bin/ # buildkit
                        
# 2023-10-20 09:46:57  0.00B 设置默认要执行的命令
CMD ["start.sh"]
                        
# 2023-10-20 09:46:57  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["tini" "-g" "--"]
                        
# 2023-10-20 09:46:57  287.63MB 执行命令并创建新的镜像层
RUN |4 NB_USER=jovyan NB_UID=1000 NB_GID=100 PYTHON_VERSION=3.11 /bin/bash -o pipefail -c set -x &&     arch=$(uname -m) &&     if [ "${arch}" = "x86_64" ]; then         arch="64";     fi &&     wget --progress=dot:giga -O /tmp/micromamba.tar.bz2         "https://micromamba.snakepit.net/api/micromamba/linux-${arch}/latest" &&     tar -xvjf /tmp/micromamba.tar.bz2 --strip-components=1 bin/micromamba &&     rm /tmp/micromamba.tar.bz2 &&     PYTHON_SPECIFIER="python=${PYTHON_VERSION}" &&     if [[ "${PYTHON_VERSION}" == "default" ]]; then PYTHON_SPECIFIER="python"; fi &&     ./micromamba install         --root-prefix="${CONDA_DIR}"         --prefix="${CONDA_DIR}"         --yes         "${PYTHON_SPECIFIER}"         'mamba'         'jupyter_core' &&     rm micromamba &&     mamba list python | grep '^python ' | tr -s ' ' | cut -d ' ' -f 1,2 >> "${CONDA_DIR}/conda-meta/pinned" &&     mamba clean --all -f -y &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-10-20 09:46:07  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-10-20 09:46:07  163.00B 复制新文件或目录到容器中
COPY initial-condarc /opt/conda/.condarc # buildkit
                        
# 2023-10-20 09:46:07  0.00B 执行命令并创建新的镜像层
RUN |4 NB_USER=jovyan NB_UID=1000 NB_GID=100 PYTHON_VERSION=3.11 /bin/bash -o pipefail -c mkdir "/home/${NB_USER}/work" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-10-20 09:46:06  0.00B 定义构建参数
ARG PYTHON_VERSION=3.11
                        
# 2023-10-20 09:46:06  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-20 09:46:06  13.44KB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c echo "auth requisite pam_deny.so" >> /etc/pam.d/su &&     sed -i.bak -e 's/^%admin/#%admin/' /etc/sudoers &&     sed -i.bak -e 's/^%sudo/#%sudo/' /etc/sudoers &&     useradd --no-log-init --create-home --shell /bin/bash --uid "${NB_UID}" --no-user-group "${NB_USER}" &&     mkdir -p "${CONDA_DIR}" &&     chown "${NB_USER}:${NB_GID}" "${CONDA_DIR}" &&     chmod g+w /etc/passwd &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-10-20 09:46:06  3.82KB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c sed -i 's/^#force_color_prompt=yes/force_color_prompt=yes/' /etc/skel/.bashrc &&    echo 'eval "$(command conda shell.bash hook 2> /dev/null)"' >> /etc/skel/.bashrc # buildkit
                        
# 2023-10-20 09:46:05  0.00B 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c chmod a+rx /usr/local/bin/fix-permissions # buildkit
                        
# 2023-10-20 09:46:05  1.04KB 复制新文件或目录到容器中
COPY fix-permissions /usr/local/bin/fix-permissions # buildkit
                        
# 2023-10-20 09:46:05  0.00B 设置环境变量 PATH HOME
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin HOME=/home/jovyan
                        
# 2023-10-20 09:46:05  0.00B 设置环境变量 CONDA_DIR SHELL NB_USER NB_UID NB_GID LC_ALL LANG LANGUAGE
ENV CONDA_DIR=/opt/conda SHELL=/bin/bash NB_USER=jovyan NB_UID=1000 NB_GID=100 LC_ALL=en_US.UTF-8 LANG=en_US.UTF-8 LANGUAGE=en_US.UTF-8
                        
# 2023-10-20 09:46:05  25.76MB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c apt-get update --yes &&     apt-get upgrade --yes &&     apt-get install --yes --no-install-recommends     bzip2     ca-certificates     locales     sudo     tini     wget &&     apt-get clean && rm -rf /var/lib/apt/lists/* &&     echo "en_US.UTF-8 UTF-8" > /etc/locale.gen &&     locale-gen # buildkit
                        
# 2023-10-20 09:46:05  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-10-20 09:46:05  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-10-20 09:46:05  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-10-20 09:46:05  0.00B 定义构建参数
ARG NB_GID=100
                        
# 2023-10-20 09:46:05  0.00B 定义构建参数
ARG NB_UID=1000
                        
# 2023-10-20 09:46:05  0.00B 定义构建参数
ARG NB_USER=jovyan
                        
# 2023-10-20 09:46:05  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-10-05 15:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:33:32  77.82MB 
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / 
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:e75d34b8f32b679157e9f7fd9075e6d568b4f9e9080d94883ded26e7677e4d13",
    "RepoTags": [
        "jupyter/minimal-notebook:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/minimal-notebook:latest"
    ],
    "RepoDigests": [
        "jupyter/minimal-notebook@sha256:1c4c8b6c7c27059c353d4e80523c2696e34723fde67d27418873ebeb42032551",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/minimal-notebook@sha256:20e08ceb72005f4f973c6a53de1731a81a369da40b9d8e9925d64964fe5838ff"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-10-20T01:56:46.655228844Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "1000",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8888/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "DEBIAN_FRONTEND=noninteractive",
            "CONDA_DIR=/opt/conda",
            "SHELL=/bin/bash",
            "NB_USER=jovyan",
            "NB_UID=1000",
            "NB_GID=100",
            "LC_ALL=en_US.UTF-8",
            "LANG=en_US.UTF-8",
            "LANGUAGE=en_US.UTF-8",
            "HOME=/home/jovyan",
            "JUPYTER_PORT=8888"
        ],
        "Cmd": [
            "start-notebook.py"
        ],
        "Healthcheck": {
            "Test": [
                "CMD-SHELL",
                "/etc/jupyter/docker_healthcheck.py || exit 1"
            ],
            "Interval": 5000000000,
            "Timeout": 3000000000,
            "StartPeriod": 5000000000,
            "Retries": 3
        },
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/home/jovyan",
        "Entrypoint": [
            "tini",
            "-g",
            "--"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "Jupyter Project \u003cjupyter@googlegroups.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        },
        "Shell": [
            "/bin/bash",
            "-o",
            "pipefail",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 1561844643,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/d3163fd8fa7ff33100fbf4a42937939a86fc823a33cf7cdd32990f073fce3d15/diff:/var/lib/docker/overlay2/766a3e7d7392c53c67bcfd7cb78f2e72f68b89050705b5d76c6bd52e1a34b182/diff:/var/lib/docker/overlay2/49438230f221b387af3080d844c27225872b0f5c8193a6b8c56e95d7e1aba690/diff:/var/lib/docker/overlay2/35cf1002eb4de1f2e9daa19a88ef5713fb798cfb085c10016b85afbb90c47108/diff:/var/lib/docker/overlay2/23ae5f3d2233b0b99bf5afd063390b7feaaa056e94399fb95b1cb3a353cd3050/diff:/var/lib/docker/overlay2/ed4ee6e401d28055196597e6e4c2286ccfcf0a04077e97ff98df434b7dcd3d5f/diff:/var/lib/docker/overlay2/929bb0906ef6ab14f5e7ce5db8f4db16634547eea23207a6f5d9cc1f0263d0a4/diff:/var/lib/docker/overlay2/757905983f0fbc03e21d073adc4e4c22da5362bb237cd70122f51816679fa984/diff:/var/lib/docker/overlay2/e9211f69f591e194e7fa072c5f261a6c578b2f1be6232a3f11324c2b7180c809/diff:/var/lib/docker/overlay2/47335916e364117dcc25bfcbe51a926a6037b31ab184c1d3c8cb6514da1f9a8b/diff:/var/lib/docker/overlay2/75221ca42a69781e78e379872ff75ef6bde6daa1229108aa62c7975ca35d517b/diff:/var/lib/docker/overlay2/147725df896e551d8693601b5bc45d200190e8241b7a9c28fa3bce8f334baa17/diff:/var/lib/docker/overlay2/36bf82526f304ec39fa003a0c3d7e55f513fe6b1bd0a31c9484f2a489624e6f2/diff:/var/lib/docker/overlay2/58a70d4b8cb7ead13e3baf49990f2a8634945d89324789e35dc29f9a7b343150/diff:/var/lib/docker/overlay2/d46dffb023a09d6e16afc311eabcfcef4340fcda3823f56d23f3e288a4b51e4f/diff:/var/lib/docker/overlay2/641806f3600db5b4bea9a4a85070e77644dd5caf7e3b77f69c43005281c4fc42/diff:/var/lib/docker/overlay2/8c44e931c5b016729d15ac5e1cbcac821d0b6602de6ff5d00a245710cd1d2b9f/diff:/var/lib/docker/overlay2/0314f56b471b5c6a8d91b7c583100809030db7fffea57057297c710c00665860/diff:/var/lib/docker/overlay2/ce32f6cff2dc5da1c93c8705cc0caa8088faeb3e4d2e048c7b6337ef71ee7a29/diff:/var/lib/docker/overlay2/ee4cf9bf00e99ecbddaae570aefc6f64028df292f809ccb516aafab3237802f0/diff:/var/lib/docker/overlay2/e6c5a1c9efa3d6087e0683f1610f9f468b9e9b8257e5bce02ee12207de60f211/diff:/var/lib/docker/overlay2/03a1ed60c0c81942274a2a3cab874e730ba5e2c30aa79682d207d4c7286e1605/diff:/var/lib/docker/overlay2/f2905627b4505cda033dd62b5a5dc1676edda5a6e1bda7cd6e6e2048fcf5aee0/diff",
            "MergedDir": "/var/lib/docker/overlay2/fcb8dc24a6929afae4a3b89e67021addce65e3c7bf3331bc7e59322710be4a34/merged",
            "UpperDir": "/var/lib/docker/overlay2/fcb8dc24a6929afae4a3b89e67021addce65e3c7bf3331bc7e59322710be4a34/diff",
            "WorkDir": "/var/lib/docker/overlay2/fcb8dc24a6929afae4a3b89e67021addce65e3c7bf3331bc7e59322710be4a34/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:256d88da41857db513b95b50ba9a9b28491b58c954e25477d5dad8abb465430b",
            "sha256:9e19e4556c44124f879c781d8b6d4f64718ca876707b58a02970ddcb4d36633c",
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    "Metadata": {
        "LastTagTime": "2025-02-11T10:56:13.964363187+08:00"
    }
}

更多版本

docker.io/jupyter/minimal-notebook:latest

linux/amd64 docker.io1.56GB2025-02-11 10:56
36