quay.io/jupyter/base-notebook:latest linux/amd64

quay.io/jupyter/base-notebook:latest - 国内下载镜像源 浏览次数:84

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Jupyter Notebook的基础镜像,由Quay.io上的Jupyter项目提供。它包含运行Jupyter Notebook服务器所需的基本依赖项,为用户提供一个用于交互式计算和数据科学的便捷环境。

```
源镜像 quay.io/jupyter/base-notebook:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/base-notebook:latest
镜像ID sha256:e369a63ff6dfc0a0f01a690e13aec080e3094298b494875501da29317cdd602b
镜像TAG latest
大小 965.88MB
镜像源 quay.io
CMD start-notebook.py
启动入口 tini -g -- start.sh
工作目录 /home/jovyan
OS/平台 linux/amd64
浏览量 84 次
贡献者
镜像创建 2025-03-05T02:05:03.013467498Z
同步时间 2025-03-07 11:25
更新时间 2025-04-18 16:54
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=C.UTF-8 LANG=C.UTF-8 LANGUAGE=C.UTF-8 HOME=/home/jovyan JUPYTER_PORT=8888
镜像标签
Jupyter Project <jupyter@googlegroups.com>: maintainer ubuntu: org.opencontainers.image.ref.name 24.04: org.opencontainers.image.version

Docker拉取命令

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

Containerd拉取命令

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

Shell快速替换命令

sed -i 's#quay.io/jupyter/base-notebook:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/base-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/quay.io/jupyter/base-notebook:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/base-notebook:latest  quay.io/jupyter/base-notebook:latest'

Ansible快速分发-Containerd

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

镜像构建历史


# 2025-03-05 10:05:03  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2025-03-05 10:05:02  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-03-05 10:05:02  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"] "3s" "1s" "3s" "0s" '\x03'}
                        
# 2025-03-05 10:05:02  3.07KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c fix-permissions /etc/jupyter/ # buildkit
                        
# 2025-03-05 10:05:02  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-03-05 10:05:02  3.07KB 复制新文件或目录到容器中
COPY jupyter_server_config.py docker_healthcheck.py /etc/jupyter/ # buildkit
                        
# 2025-03-05 10:05:02  2.53KB 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
                        
# 2025-03-05 10:05:02  0.00B 设置默认要执行的命令
CMD ["start-notebook.py"]
                        
# 2025-03-05 10:05:02  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2025-03-05 10:05:02  0.00B 设置环境变量 JUPYTER_PORT
ENV JUPYTER_PORT=8888
                        
# 2025-03-05 10:05:02  315.43MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c mamba install --yes     'jupyterhub-singleuser'     'jupyterlab'     'nbclassic'     'notebook>=7.2.2' &&     jupyter server --generate-config &&     mamba clean --all -f -y &&     jupyter lab clean &&     rm -rf "/home/${NB_USER}/.cache/yarn" &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2025-03-05 10:04:46  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2025-03-05 10:04:46  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-03-05 10:04:46  205.09MB 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
                        
# 2025-03-05 10:04:46  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-03-05 10:04:46  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2025-03-05 10:04:46  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2025-03-05 10:03:43  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2025-03-05 10:03:43  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-03-05 10:03:43  406.00B 复制新文件或目录到容器中
COPY 10activate-conda-env.sh /usr/local/bin/before-notebook.d/ # buildkit
                        
# 2025-03-05 10:03:43  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=3.12 /bin/bash -o pipefail -c mkdir /usr/local/bin/start-notebook.d &&     mkdir /usr/local/bin/before-notebook.d # buildkit
                        
# 2025-03-05 10:03:43  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-03-05 10:03:43  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["tini" "-g" "--" "start.sh"]
                        
# 2025-03-05 10:03:43  13.88KB 复制新文件或目录到容器中
COPY run-hooks.sh start.sh /usr/local/bin/ # buildkit
                        
# 2025-03-05 10:03:43  304.07MB 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=3.12 /bin/bash -o pipefail -c set -x &&     arch=$(uname -m) &&     if [ "${arch}" = "x86_64" ]; then         arch="64";     fi &&     wget --progress=dot:giga -O -         "https://micro.mamba.pm/api/micromamba/linux-${arch}/latest" | tar -xvj bin/micromamba &&     PYTHON_SPECIFIER="python=${PYTHON_VERSION}" &&     if [[ "${PYTHON_VERSION}" == "default" ]]; then PYTHON_SPECIFIER="python"; fi &&     ./bin/micromamba install         --root-prefix="${CONDA_DIR}"         --prefix="${CONDA_DIR}"         --yes         'jupyter_core'         'conda'         'mamba'         "${PYTHON_SPECIFIER}" &&     rm -rf /tmp/bin/ &&     mamba list --full-name 'python' | awk 'END{sub("[^.]*$", "*", $2); print $1 " " $2}' >> "${CONDA_DIR}/conda-meta/pinned" &&     mamba clean --all -f -y &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2025-03-05 10:03:22  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2025-03-05 10:03:22  163.00B 复制新文件或目录到容器中
COPY --chown=1000:100 initial-condarc /opt/conda/.condarc # buildkit
                        
# 2025-03-05 10:03:22  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=3.12 /bin/bash -o pipefail -c mkdir "/home/${NB_USER}/work" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2025-03-05 10:03:22  0.00B 定义构建参数
ARG PYTHON_VERSION=3.12
                        
# 2025-03-05 10:03:22  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2025-03-05 10:03:22  13.45KB 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
                        
# 2025-03-05 10:03:22  4.47KB 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 if grep -q "${NB_UID}" /etc/passwd; then         userdel --remove $(id -un "${NB_UID}");     fi # buildkit
                        
# 2025-03-05 10:03:22  3.80KB 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 "$(conda shell.bash hook)"' >> /etc/skel/.bashrc # buildkit
                        
# 2025-03-05 10:03:22  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
                        
# 2025-03-05 10:03:21  1.04KB 复制新文件或目录到容器中
COPY fix-permissions /usr/local/bin/fix-permissions # buildkit
                        
# 2025-03-05 10:03:21  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
                        
# 2025-03-05 10:03:21  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=C.UTF-8 LANG=C.UTF-8 LANGUAGE=C.UTF-8
                        
# 2025-03-05 10:03:21  63.11MB 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     netbase     sudo     tini     wget &&     apt-get clean && rm -rf /var/lib/apt/lists/* &&     echo "en_US.UTF-8 UTF-8" > /etc/locale.gen &&     echo "C.UTF-8 UTF-8" >> /etc/locale.gen &&     locale-gen # buildkit
                        
# 2025-03-05 10:03:21  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-03-05 10:03:21  0.00B 指定运行容器时使用的用户
USER root
                        
# 2025-03-05 10:03:21  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2025-03-05 10:03:21  0.00B 定义构建参数
ARG NB_GID=100
                        
# 2025-03-05 10:03:21  0.00B 定义构建参数
ARG NB_UID=1000
                        
# 2025-03-05 10:03:21  0.00B 定义构建参数
ARG NB_USER=jovyan
                        
# 2025-03-05 10:03:21  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2025-01-27 12:14:03  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-01-27 12:14:03  78.13MB 
/bin/sh -c #(nop) ADD file:6df775300d76441aa33f31b22c1afce8dfe35c8ffbc14ef27c27009235b12a95 in / 
                        
# 2025-01-27 12:14:00  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-01-27 12:14:00  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-01-27 12:14:00  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-01-27 12:14:00  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:e369a63ff6dfc0a0f01a690e13aec080e3094298b494875501da29317cdd602b",
    "RepoTags": [
        "quay.io/jupyter/base-notebook:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/base-notebook:latest"
    ],
    "RepoDigests": [
        "quay.io/jupyter/base-notebook@sha256:058c4caf237d007d78ed823bb0cd82800bcc87ee0a3de3639c7cb3f952478937",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/quay.io/jupyter/base-notebook@sha256:f02c62d3191ce45c2c794753c787e73c4f46438cdaed5f5a23a7d65215598248"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-03-05T02:05:03.013467498Z",
    "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=C.UTF-8",
            "LANG=C.UTF-8",
            "LANGUAGE=C.UTF-8",
            "HOME=/home/jovyan",
            "JUPYTER_PORT=8888"
        ],
        "Cmd": [
            "start-notebook.py"
        ],
        "Healthcheck": {
            "Test": [
                "CMD-SHELL",
                "/etc/jupyter/docker_healthcheck.py || exit 1"
            ],
            "Interval": 3000000000,
            "Timeout": 1000000000,
            "StartPeriod": 3000000000,
            "Retries": 3
        },
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/home/jovyan",
        "Entrypoint": [
            "tini",
            "-g",
            "--",
            "start.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "Jupyter Project \u003cjupyter@googlegroups.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "24.04"
        },
        "Shell": [
            "/bin/bash",
            "-o",
            "pipefail",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 965879129,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/a8219b61d843e5f250d2f1427ae17dd465bb3cc28002f5dc79ae0b41e75a7343/diff:/var/lib/docker/overlay2/f3814eae08a8ac7c5ac9082e88927e9ec302e9d768f6aee82db77244cb0f39b0/diff:/var/lib/docker/overlay2/27ee4c55785640de1f80c77745c8452ea55b38d338bbfe2201b047306c623458/diff:/var/lib/docker/overlay2/491ab7e87d047f4b907b0ebdcee710e79d92ce3d8f6f1655737fda7577ba58e0/diff:/var/lib/docker/overlay2/ba56f0c692067b2e26133af3f40712ea2649d3692c93b422ed5c5737ca5f7ed9/diff:/var/lib/docker/overlay2/6acca17009fd22346e5a4180b2f7708c4646efe904880bee4ae7c9e5804825c6/diff:/var/lib/docker/overlay2/0b1b44b99b1cb853083abaf6c404ab1b8ba367fdb63a24d0cc490c17738400bd/diff:/var/lib/docker/overlay2/30a08b97235db92e094e1c7eb66681b80818555da146dd73f38e171af50461ca/diff:/var/lib/docker/overlay2/55be697990f0a26e56f8a514e852a3f951e56b407de421a1708d8b4fb34b6147/diff:/var/lib/docker/overlay2/3b9abc4b6877053718f6a94c2ab1f3cefe846740fc47780177bb0377b5de0cbb/diff:/var/lib/docker/overlay2/6fbc9d9b7acfe328593a6603bcf005db43e16ed5d38ad891cd158fb5bcc937ee/diff:/var/lib/docker/overlay2/2987e57978aeadec05dff29ea40735c22bdeea0bfce6ace0a6bedb88125cb91c/diff:/var/lib/docker/overlay2/e1d3a5b8f7fb54d5b058ba396f5cc5ab581672d40f4bbb5d7deb34e17d9d2d46/diff:/var/lib/docker/overlay2/43544377b514d45ae71a845395b91ce2410d4907b67182d5ecae7ffa53562eee/diff:/var/lib/docker/overlay2/7924b08049180bba3da1d6d9aecbe1c11dfe26fed7fc2a74dec0e8c6ce52d510/diff:/var/lib/docker/overlay2/35ae3dda375b7aab302f1717bf6c4c1a4ebfc78f359c55b98317bf1bd41ed772/diff:/var/lib/docker/overlay2/a5a4f6e55eed384ca6548ae874829efa59649b9ec3a27846302e87f10a072ccd/diff:/var/lib/docker/overlay2/328e9d5126905c302dfece6647642b5e5e54b8911f49daa3eb0c3ac4efaf9041/diff:/var/lib/docker/overlay2/2b1cb9c418a17bfb4a4f8778fb4beeefed7b6d5af88b4dbfcf00bda1b0861ff8/diff:/var/lib/docker/overlay2/6c856ecb996ec2bb2ccbee18234e298e3a7ab7c0d984b78b767ffb7585a6be27/diff:/var/lib/docker/overlay2/d5ba5778451cb9d6cd53a762324cbf17a65345e17306b42b60d69ba8f9186927/diff",
            "MergedDir": "/var/lib/docker/overlay2/90473dcb2200ce8b9c2c5d8840a1430df361dbbaefaf7d42e20753862ae0de5f/merged",
            "UpperDir": "/var/lib/docker/overlay2/90473dcb2200ce8b9c2c5d8840a1430df361dbbaefaf7d42e20753862ae0de5f/diff",
            "WorkDir": "/var/lib/docker/overlay2/90473dcb2200ce8b9c2c5d8840a1430df361dbbaefaf7d42e20753862ae0de5f/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:4b7c01ed0534d4f9be9cf97d068da1598c6c20b26cb6134fad066defdb6d541d",
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    "Metadata": {
        "LastTagTime": "2025-03-07T11:24:52.296096101+08:00"
    }
}

更多版本

quay.io/jupyter/base-notebook:latest

linux/amd64 quay.io965.88MB2025-03-07 11:25
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