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:31
```html

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 31 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 2024-12-21 10:13
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 无权限下载?点我修复

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'

镜像历史

大小 创建时间 层信息
88.90MB 2024-10-02 15:39:20 RUN /bin/bash -c python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir && rm -f /tmp/requirements.txt # buildkit
78.00B 2024-10-02 15:39:13 COPY --chown=jovyan:0 requirements.txt /tmp # buildkit
2.21GB 2024-10-02 15:39:12 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
0.00B 2024-10-02 15:38:20 USER 1000
611.27MB 2024-10-02 15:38:20 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
0.00B 2024-10-02 15:38:20 USER root
0.00B 2024-10-02 15:30:29 EXPOSE map[8888/tcp:{}]
67.00B 2024-10-02 15:30:29 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 "${HOME_TMP}" # buildkit
190.00B 2024-10-02 15:30:29 RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c jupyter labextension disable --level=system "@jupyterlab/apputils-extension:announcements" && jupyter labextension lock --level=system "@jupyterlab/apputils-extension" # buildkit
640.00B 2024-10-02 15:35:56 COPY --chown=jovyan:0 --chmod=755 s6/ /etc # buildkit
0.00B 2024-10-02 15:30:26 RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir && rm -f /tmp/requirements.txt # buildkit
0.00B 2024-10-02 15:30:26 COPY --chown=jovyan:0 requirements.txt /tmp # buildkit
167.98MB 2024-10-02 15:30:26 RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c echo "jupyterlab ==${JUPYTERLAB_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned && echo "notebook ==${JUPYTER_VERSION}" >> ${CONDA_DIR}/conda-meta/pinned && conda install -y -q jupyterlab==${JUPYTERLAB_VERSION} notebook==${JUPYTER_VERSION} && conda clean -a -f -y # buildkit
295.92MB 2024-10-02 15:30:03 RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c case "${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
0.00B 2024-10-02 15:29:30 USER 1000
0.00B 2024-10-02 15:29:30 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
694.00B 2024-10-02 15:29:30 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} ${HOME} # buildkit
0.00B 2024-10-02 15:29:30 ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
0.00B 2024-10-02 15:29:30 ENV CONDA_DIR=/opt/conda
160.90MB 2024-10-02 15:29:30 RUN |7 TARGETARCH=amd64 JUPYTERLAB_VERSION=4.2.5 JUPYTER_VERSION=7.2.2 MINIFORGE_VERSION=24.7.1-2 NODE_MAJOR_VERSION=20 PIP_VERSION=24.2 PYTHON_VERSION=3.11.10 /bin/bash -c export DEBIAN_FRONTEND=noninteractive && curl -sL "https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key" | apt-key add - && echo "deb https://deb.nodesource.com/node_${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
0.00B 2024-10-02 15:29:30 ARG PYTHON_VERSION=3.11.10
0.00B 2024-10-02 15:29:30 ARG PIP_VERSION=24.2
0.00B 2024-10-02 15:29:30 ARG NODE_MAJOR_VERSION=20
0.00B 2024-10-02 15:29:30 ARG MINIFORGE_VERSION=24.7.1-2
0.00B 2024-10-02 15:29:30 ARG JUPYTER_VERSION=7.2.2
0.00B 2024-10-02 15:29:30 ARG JUPYTERLAB_VERSION=4.2.5
0.00B 2024-10-02 15:29:30 USER root
0.00B 2024-10-02 15:29:30 ARG TARGETARCH=amd64
0.00B 2024-10-02 15:28:15 ENTRYPOINT ["/init"]
0.00B 2024-10-02 15:28:15 USER 1000
514.00B 2024-10-02 15:28:15 COPY --chown=jovyan:0 --chmod=755 s6/ /etc # buildkit
0.00B 2024-10-02 15:25:02 ENV LC_ALL=en_US.UTF-8
0.00B 2024-10-02 15:25:02 ENV LANGUAGE=en_US.UTF-8
0.00B 2024-10-02 15:25:02 ENV LANG=en_US.UTF-8
3.05MB 2024-10-02 15:25:02 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
50.55MB 2024-10-02 15:25:01 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
50.23MB 2024-10-02 15:25:01 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 $1; }') /usr/local/bin/kubectl" | sha256sum -c - && rm /tmp/kubectl.sha256 && chmod +x /usr/local/bin/kubectl # buildkit
0.00B 2024-10-02 15:25:00 RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.29.9 S6_VERSION=v3.2.0.0 /bin/bash -c chmod 0775 /run # buildkit
5.12MB 2024-10-02 15:24:59 RUN |3 TARGETARCH=amd64 KUBECTL_VERSION=v1.29.9 S6_VERSION=v3.2.0.0 /bin/bash -c case "${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
247.60MB 2024-10-02 15:24:57 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
0.00B 2024-10-02 15:24:57 SHELL [/bin/bash -c]
0.00B 2024-10-02 15:24:57 ARG S6_VERSION=v3.2.0.0
0.00B 2024-10-02 15:24:57 ARG KUBECTL_VERSION=v1.29.9
0.00B 2024-10-02 15:24:57 ENV S6_BEHAVIOUR_IF_STAGE2_FAILS=2
0.00B 2024-10-02 15:24:57 ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=300000
0.00B 2024-10-02 15:24:57 ENV HOME_TMP=/tmp_home/jovyan
0.00B 2024-10-02 15:24:57 ENV USERS_GID=100
0.00B 2024-10-02 15:24:57 ENV SHELL=/bin/bash
0.00B 2024-10-02 15:24:57 ENV HOME=/home/jovyan
0.00B 2024-10-02 15:24:57 ENV NB_PREFIX=/
0.00B 2024-10-02 15:24:57 ENV NB_GID=0
0.00B 2024-10-02 15:24:57 ENV NB_UID=1000
0.00B 2024-10-02 15:24:57 ENV NB_USER=jovyan
0.00B 2024-10-02 15:24:57 ARG TARGETARCH=amd64
0.00B 2024-09-12 00:25:18 /bin/sh -c #(nop) CMD ["/bin/bash"]
77.86MB 2024-09-12 00:25:17 /bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in /
0.00B 2024-09-12 00:25:16 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
0.00B 2024-09-12 00:25:16 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2024-09-12 00:25:16 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2024-09-12 00:25:16 /bin/sh -c #(nop) ARG RELEASE

镜像信息

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    "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,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "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"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "",
        "Entrypoint": [
            "/init"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        },
        "Shell": [
            "/bin/bash",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 3968581862,
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    "Metadata": {
        "LastTagTime": "2024-11-28T17:02:37.854650082+08:00"
    }
}

更多版本

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

linux/amd64 docker.io3.97GB2024-11-28 17:05
30