docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2 linux/amd64

docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2 - 国内下载镜像源 浏览次数:132

这是一个包含Jupyter Notebook和SciPy库的Docker镜像。它预先配置好了用于科学计算和数据分析的Jupyter环境,方便用户快速开始使用SciPy等科学计算库。

源镜像 docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2
镜像ID sha256:f26ae65b94e1d4c8d8a91614397a64ab130efb5c3206ab014a3c590cb188dfeb
镜像TAG v1.9.2
大小 3.97GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /init
工作目录
OS/平台 linux/amd64
浏览量 132 次
贡献者
镜像创建 2024-10-02T07:39:20.871971773Z
同步时间 2024-11-28 17:05
更新时间 2025-07-06 23:36
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 NB_USER=jovyan NB_UID=1000 NB_GID=0 NB_PREFIX=/ HOME=/home/jovyan SHELL=/bin/bash USERS_GID=100 HOME_TMP=/tmp_home/jovyan S6_CMD_WAIT_FOR_SERVICES_MAXTIME=300000 S6_BEHAVIOUR_IF_STAGE2_FAILS=2 LANG=en_US.UTF-8 LANGUAGE=en_US.UTF-8 LC_ALL=en_US.UTF-8 CONDA_DIR=/opt/conda
镜像标签
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: 2024-11-28 17:07

低危漏洞:133 中危漏洞:178 高危漏洞:1 严重漏洞:0

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2  docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2  docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2

Shell快速替换命令

sed -i 's#kubeflownotebookswg/jupyter-scipy:v1.9.2#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2#' 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/kubeflownotebookswg/jupyter-scipy:v1.9.2 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2  docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2  docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2'

镜像构建历史


# 2024-10-02 15:39:20  88.90MB 执行命令并创建新的镜像层
RUN /bin/bash -c python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir  && rm -f /tmp/requirements.txt # buildkit
                        
# 2024-10-02 15:39:13  78.00B 复制新文件或目录到容器中
COPY --chown=jovyan:0 requirements.txt /tmp # buildkit
                        
# 2024-10-02 15:39:12  2.21GB 执行命令并创建新的镜像层
RUN /bin/bash -c mamba install -y -q     altair     beautifulsoup4==4.12.3     bokeh==3.3.4     bottleneck     brotli     cloudpickle     dask==2024.5.1     dill     h5py     ipympl     matplotlib==3.8.4     numba     numexpr     openblas==0.3.25     openpyxl     pandas==2.1.4     patsy     protobuf     pytables==3.9.2     scikit-image==0.22.0     scikit-learn==1.3.2     scipy==1.11.3     seaborn==0.13.2     sqlalchemy==2.0.30     statsmodels     sympy     vincent     xlrd  && mamba clean -a -f -y # buildkit
                        
# 2024-10-02 15:38:20  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2024-10-02 15:38:20  611.27MB 执行命令并创建新的镜像层
RUN /bin/bash -c apt-get -yq update  && apt-get -yq install --no-install-recommends     cm-super     dvipng     ffmpeg  && apt-get clean  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-10-02 15:38:20  0.00B 指定运行容器时使用的用户
USER root
                        
# 2024-10-02 15:30:29  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2024-10-02 15:30:29  67.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c cp -p -r -T "${HOME}" "${HOME_TMP}"  && chmod -R g=u "${HOME_TMP}" # buildkit
                        
# 2024-10-02 15:30:29  190.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c jupyter labextension disable --level=system "@jupyterlab/apputils-extension:announcements"  && jupyter labextension lock --level=system "@jupyterlab/apputils-extension" # buildkit
                        
# 2024-10-02 15:35:56  640.00B 复制新文件或目录到容器中
COPY --chown=jovyan:0 --chmod=755 s6/ /etc # buildkit
                        
# 2024-10-02 15:30:26  0.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir  && rm -f /tmp/requirements.txt # buildkit
                        
# 2024-10-02 15:30:26  0.00B 复制新文件或目录到容器中
COPY --chown=jovyan:0 requirements.txt /tmp # buildkit
                        
# 2024-10-02 15:30:26  167.98MB 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c echo "jupyterlab ==${JUPYTERLAB_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned  && echo "notebook ==${JUPYTER_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned  && conda install -y -q     jupyterlab==${JUPYTERLAB_VERSION}     notebook==${JUPYTER_VERSION}  && conda clean -a -f -y # buildkit
                        
# 2024-10-02 15:30:03  295.92MB 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c case "${TARGETARCH}" in       amd64) MINIFORGE_ARCH="x86_64" ;;       arm64) MINIFORGE_ARCH="aarch64" ;;       ppc64le) MINIFORGE_ARCH="ppc64le" ;;       *) echo "Unsupported architecture: ${TARGETARCH}"; exit 1 ;;     esac  && curl -fsSL "https://github.com/conda-forge/miniforge/releases/download/${MINIFORGE_VERSION}/Miniforge3-${MINIFORGE_VERSION}-Linux-${MINIFORGE_ARCH}.sh" -o /tmp/Miniforge3.sh  && curl -fsSL "https://github.com/conda-forge/miniforge/releases/download/${MINIFORGE_VERSION}/Miniforge3-${MINIFORGE_VERSION}-Linux-${MINIFORGE_ARCH}.sh.sha256" -o /tmp/Miniforge3.sh.sha256  && echo "$(cat /tmp/Miniforge3.sh.sha256 | awk '{ print $1; }')  /tmp/Miniforge3.sh" | sha256sum -c -  && rm /tmp/Miniforge3.sh.sha256  && /bin/bash /tmp/Miniforge3.sh -b -f -p ${CONDA_DIR}  && rm /tmp/Miniforge3.sh  && conda config --system --set auto_update_conda false  && conda config --system --set show_channel_urls true  && echo "python ==${PYTHON_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned  && conda install -y -q     python=${PYTHON_VERSION}     pip=${PIP_VERSION}  && conda update -y -q --all  && conda clean -a -f -y # buildkit
                        
# 2024-10-02 15:29:30  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2024-10-02 15:29:30  0.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c mkdir -pv /usr/local/etc/jupyter  && chown -R ${NB_USER}:${NB_GID} /usr/local/etc/jupyter # buildkit
                        
# 2024-10-02 15:29:30  694.00B 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c mkdir -pv ${CONDA_DIR}  && chmod 2775 ${CONDA_DIR}  && echo ". /opt/conda/etc/profile.d/conda.sh" >> ${HOME}/.bashrc  && echo ". /opt/conda/etc/profile.d/conda.sh" >> /etc/profile  && echo "conda activate base" >> ${HOME}/.bashrc  && echo "conda activate base" >> /etc/profile  && chown -R ${NB_USER}:${NB_GID} ${CONDA_DIR}  && chown -R ${NB_USER}:${USERS_GID} ${HOME} # buildkit
                        
# 2024-10-02 15:29:30  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-10-02 15:29:30  0.00B 设置环境变量 CONDA_DIR
ENV CONDA_DIR=/opt/conda
                        
# 2024-10-02 15:29:30  160.90MB 执行命令并创建新的镜像层
RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c export DEBIAN_FRONTEND=noninteractive  && curl -sL "https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key" | apt-key add -  && echo "deb https://deb.nodesource.com/node_${NODE_MAJOR_VERSION}.x nodistro main" > /etc/apt/sources.list.d/nodesource.list  && apt-get -yq update  && apt-get -yq install --no-install-recommends     nodejs  && apt-get clean  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-10-02 15:29:30  0.00B 定义构建参数
ARG PYTHON_VERSION=3.11.10
                        
# 2024-10-02 15:29:30  0.00B 定义构建参数
ARG PIP_VERSION=24.2
                        
# 2024-10-02 15:29:30  0.00B 定义构建参数
ARG NODE_MAJOR_VERSION=20
                        
# 2024-10-02 15:29:30  0.00B 定义构建参数
ARG MINIFORGE_VERSION=24.7.1-2
                        
# 2024-10-02 15:29:30  0.00B 定义构建参数
ARG JUPYTER_VERSION=7.2.2
                        
# 2024-10-02 15:29:30  0.00B 定义构建参数
ARG JUPYTERLAB_VERSION=4.2.5
                        
# 2024-10-02 15:29:30  0.00B 指定运行容器时使用的用户
USER root
                        
# 2024-10-02 15:29:30  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2024-10-02 15:28:15  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/init"]
                        
# 2024-10-02 15:28:15  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2024-10-02 15:28:15  514.00B 复制新文件或目录到容器中
COPY --chown=jovyan:0 --chmod=755 s6/ /etc # buildkit
                        
# 2024-10-02 15:25:02  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=en_US.UTF-8
                        
# 2024-10-02 15:25:02  0.00B 设置环境变量 LANGUAGE
ENV LANGUAGE=en_US.UTF-8
                        
# 2024-10-02 15:25:02  0.00B 设置环境变量 LANG
ENV LANG=en_US.UTF-8
                        
# 2024-10-02 15:25:02  3.05MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.29.9 S6_VERSION=v3.2.0.0 /bin/bash -c echo "en_US.UTF-8 UTF-8" > /etc/locale.gen  && locale-gen # buildkit
                        
# 2024-10-02 15:25:01  50.55MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.29.9 S6_VERSION=v3.2.0.0 /bin/bash -c useradd -M -N     --shell /bin/bash     --home ${HOME}     --uid ${NB_UID}     --gid ${NB_GID}     --groups ${USERS_GID}     ${NB_USER}  && mkdir -pv ${HOME}  && mkdir -pv ${HOME_TMP}  && chmod 2775 ${HOME}  && chmod 2775 ${HOME_TMP}  && chown -R ${NB_USER}:${USERS_GID} ${HOME}  && chown -R ${NB_USER}:${USERS_GID} ${HOME_TMP}  && chown -R ${NB_USER}:${NB_GID} /usr/local/bin # buildkit
                        
# 2024-10-02 15:25:01  50.23MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.29.9 S6_VERSION=v3.2.0.0 /bin/bash -c curl -fsSL "https://dl.k8s.io/release/${KUBECTL_VERSION}/bin/linux/${TARGETARCH}/kubectl" -o /usr/local/bin/kubectl  && curl -fsSL "https://dl.k8s.io/${KUBECTL_VERSION}/bin/linux/${TARGETARCH}/kubectl.sha256" -o /tmp/kubectl.sha256  && echo "$(cat /tmp/kubectl.sha256 | awk '{ print $1; }')  /usr/local/bin/kubectl" | sha256sum -c -  && rm /tmp/kubectl.sha256  && chmod +x /usr/local/bin/kubectl # buildkit
                        
# 2024-10-02 15:25:00  0.00B 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.29.9 S6_VERSION=v3.2.0.0 /bin/bash -c chmod 0775 /run # buildkit
                        
# 2024-10-02 15:24:59  5.12MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.29.9 S6_VERSION=v3.2.0.0 /bin/bash -c case "${TARGETARCH}" in       amd64) S6_ARCH="x86_64" ;;       arm64) S6_ARCH="aarch64" ;;       ppc64le) S6_ARCH="ppc64le" ;;       *) echo "Unsupported architecture: ${TARGETARCH}"; exit 1 ;;     esac  && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/${S6_VERSION}/s6-overlay-noarch.tar.xz" -o /tmp/s6-overlay-noarch.tar.xz  && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/${S6_VERSION}/s6-overlay-noarch.tar.xz.sha256" -o /tmp/s6-overlay-noarch.tar.xz.sha256  && echo "$(cat /tmp/s6-overlay-noarch.tar.xz.sha256 | awk '{ print $1; }')  /tmp/s6-overlay-noarch.tar.xz" | sha256sum -c -  && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/${S6_VERSION}/s6-overlay-${S6_ARCH}.tar.xz" -o /tmp/s6-overlay-${S6_ARCH}.tar.xz  && curl -fsSL "https://github.com/just-containers/s6-overlay/releases/download/${S6_VERSION}/s6-overlay-${S6_ARCH}.tar.xz.sha256" -o /tmp/s6-overlay-${S6_ARCH}.tar.xz.sha256  && echo "$(cat /tmp/s6-overlay-${S6_ARCH}.tar.xz.sha256 | awk '{ print $1; }')  /tmp/s6-overlay-${S6_ARCH}.tar.xz" | sha256sum -c -  && tar -C / -Jxpf /tmp/s6-overlay-noarch.tar.xz  && tar -C / -Jxpf /tmp/s6-overlay-${S6_ARCH}.tar.xz  && rm /tmp/s6-overlay-noarch.tar.xz         /tmp/s6-overlay-noarch.tar.xz.sha256        /tmp/s6-overlay-${S6_ARCH}.tar.xz        /tmp/s6-overlay-${S6_ARCH}.tar.xz.sha256 # buildkit
                        
# 2024-10-02 15:24:57  247.60MB 执行命令并创建新的镜像层
RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.29.9 S6_VERSION=v3.2.0.0 /bin/bash -c export DEBIAN_FRONTEND=noninteractive  && apt-get -yq update  && apt-get -yq install --no-install-recommends     apt-transport-https     bash     bzip2     ca-certificates     curl     git     gnupg     gnupg2     locales     lsb-release     nano     software-properties-common     tzdata     unzip     vim     wget     xz-utils     zip  && apt-get clean  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-10-02 15:24:57  0.00B 
SHELL [/bin/bash -c]
                        
# 2024-10-02 15:24:57  0.00B 定义构建参数
ARG S6_VERSION=v3.2.0.0
                        
# 2024-10-02 15:24:57  0.00B 定义构建参数
ARG KUBECTL_VERSION=v1.29.9
                        
# 2024-10-02 15:24:57  0.00B 设置环境变量 S6_BEHAVIOUR_IF_STAGE2_FAILS
ENV S6_BEHAVIOUR_IF_STAGE2_FAILS=2
                        
# 2024-10-02 15:24:57  0.00B 设置环境变量 S6_CMD_WAIT_FOR_SERVICES_MAXTIME
ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=300000
                        
# 2024-10-02 15:24:57  0.00B 设置环境变量 HOME_TMP
ENV HOME_TMP=/tmp_home/jovyan
                        
# 2024-10-02 15:24:57  0.00B 设置环境变量 USERS_GID
ENV USERS_GID=100
                        
# 2024-10-02 15:24:57  0.00B 设置环境变量 SHELL
ENV SHELL=/bin/bash
                        
# 2024-10-02 15:24:57  0.00B 设置环境变量 HOME
ENV HOME=/home/jovyan
                        
# 2024-10-02 15:24:57  0.00B 设置环境变量 NB_PREFIX
ENV NB_PREFIX=/
                        
# 2024-10-02 15:24:57  0.00B 设置环境变量 NB_GID
ENV NB_GID=0
                        
# 2024-10-02 15:24:57  0.00B 设置环境变量 NB_UID
ENV NB_UID=1000
                        
# 2024-10-02 15:24:57  0.00B 设置环境变量 NB_USER
ENV NB_USER=jovyan
                        
# 2024-10-02 15:24:57  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2024-09-12 00:25:18  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-09-12 00:25:17  77.86MB 
/bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in / 
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-09-12 00:25:16  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:f26ae65b94e1d4c8d8a91614397a64ab130efb5c3206ab014a3c590cb188dfeb",
    "RepoTags": [
        "kubeflownotebookswg/jupyter-scipy:v1.9.2",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2"
    ],
    "RepoDigests": [
        "kubeflownotebookswg/jupyter-scipy@sha256:b58efa2ea70d1c960e1056f3eed4ca908fa95cba010ffdbf515762d74f54134b",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/kubeflownotebookswg/jupyter-scipy@sha256:3f9fc4c492ad8e1bf6359a901d884bddad47843a992076335ccb6585a4b7ddbb"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-10-02T07:39:20.871971773Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "1000",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8888/tcp": {}
        },
        "Tty": false,
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}

更多版本

docker.io/kubeflownotebookswg/jupyter-scipy:v1.9.2

linux/amd64 docker.io3.97GB2024-11-28 17:05
131