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docker.io/burakince/mlflow:3.7.0 linux/amd64

docker.io/burakince/mlflow:3.7.0 - 国内下载镜像源 浏览次数:27

该镜像封装了MLflow,MLflow是一个开源的机器学习生命周期管理平台,支持实验跟踪、模型管理、项目部署和模型注册等功能,方便用户在容器环境中快速部署和使用MLflow服务。

源镜像 docker.io/burakince/mlflow:3.7.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/burakince/mlflow:3.7.0
镜像ID sha256:25d72d148c884dcdbb7e74b223e0be7c0e667702a0690e959a00ac5a08fb04b3
镜像TAG 3.7.0
大小 1.15GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD mlflow server --backend-store-uri sqlite:///mlflow.sqlite --default-artifact-root ./mlruns --host=0.0.0.0 --port=5000
启动入口
工作目录 /mlflow/
OS/平台 linux/amd64
浏览量 27 次
贡献者
镜像创建 2025-12-07T00:45:33.423766366Z
同步时间 2026-04-28 10:01
开放端口
5000/tcp
环境变量
PATH=/opt/venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305 PYTHON_VERSION=3.13.10 PYTHON_SHA256=bc673c04375a1a3f0808c27ba8f0411ab811ad390a8740318ccb9c60fad8fd77 PYTHONUNBUFFERED=1
镜像标签
burakince/mlflow: io.artifacthub.package.alternative-locations machine-learning,ai,ml,model-management,mlflow,mlflow-tracking-server,mlflow-docker,mlflow-tracking,mlflow-kube: io.artifacthub.package.keywords MIT: io.artifacthub.package.license https://raw.githubusercontent.com/mlflow/mlflow/master/assets/logo.svg: io.artifacthub.package.logo-url [{"name":"burakince","email":"burak.ince@linux.org.tr"}]: io.artifacthub.package.maintainers https://raw.githubusercontent.com/burakince/mlflow/refs/heads/main/README.md: io.artifacthub.package.readme-url Burak Ince <burak.ince@linux.org.tr>: maintainer 2025-12-07T00:43:56.178Z: org.opencontainers.image.created Mlflow Docker Image: org.opencontainers.image.description MIT: org.opencontainers.image.licenses 159f5b57a7031ca9e210c70ff489ad3ca1cfc0d7: org.opencontainers.image.revision https://github.com/burakince/mlflow: org.opencontainers.image.source mlflow: org.opencontainers.image.title https://github.com/burakince/mlflow: org.opencontainers.image.url 3.7.0: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/burakince/mlflow:3.7.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/burakince/mlflow:3.7.0  docker.io/burakince/mlflow:3.7.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/burakince/mlflow:3.7.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/burakince/mlflow:3.7.0  docker.io/burakince/mlflow:3.7.0

Shell快速替换命令

sed -i 's#burakince/mlflow:3.7.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/burakince/mlflow:3.7.0#' 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/burakince/mlflow:3.7.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/burakince/mlflow:3.7.0  docker.io/burakince/mlflow:3.7.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/burakince/mlflow:3.7.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/burakince/mlflow:3.7.0  docker.io/burakince/mlflow:3.7.0'

镜像构建历史


# 2025-12-07 08:45:33  0.00B 设置默认要执行的命令
CMD ["mlflow" "server" "--backend-store-uri" "sqlite:///mlflow.sqlite" "--default-artifact-root" "./mlruns" "--host=0.0.0.0" "--port=5000"]
                        
# 2025-12-07 08:45:33  0.00B 声明容器运行时监听的端口
EXPOSE map[5000/tcp:{}]
                        
# 2025-12-07 08:45:33  0.00B 指定运行容器时使用的用户
USER mlflow
                        
# 2025-12-07 08:45:33  0.00B 设置环境变量 PATH PYTHONUNBUFFERED
ENV PATH=/opt/venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin PYTHONUNBUFFERED=1
                        
# 2025-12-07 08:45:33  1.03GB 复制新文件或目录到容器中
COPY /opt/venv /opt/venv # buildkit
                        
# 2025-12-07 08:44:01  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chown -R mlflow:mlflow /mlflow # buildkit
                        
# 2025-12-07 08:44:01  0.00B 设置工作目录为/mlflow/
WORKDIR /mlflow/
                        
# 2025-12-07 08:44:00  8.86KB 执行命令并创建新的镜像层
RUN /bin/sh -c groupadd -r -g 1001 mlflow && useradd -r -u 1001 -g mlflow -m -d /home/mlflow mlflow # buildkit
                        
# 2025-12-07 08:44:00  0.00B 添加元数据标签
LABEL maintainer=Burak Ince <burak.ince@linux.org.tr>
                        
# 2025-12-03 09:19:04  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2025-12-03 09:19:04  36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 pip3 pydoc3 python3 python3-config; do 		dst="$(echo "$src" | tr -d 3)"; 		[ -s "/usr/local/bin/$src" ]; 		[ ! -e "/usr/local/bin/$dst" ]; 		ln -svT "$src" "/usr/local/bin/$dst"; 	done # buildkit
                        
# 2025-12-03 09:19:04  35.15MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends 		dpkg-dev 		gcc 		gnupg 		libbluetooth-dev 		libbz2-dev 		libc6-dev 		libdb-dev 		libffi-dev 		libgdbm-dev 		liblzma-dev 		libncursesw5-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		make 		tk-dev 		uuid-dev 		wget 		xz-utils 		zlib1g-dev 	; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; 	GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; 	gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; 	gpg --batch --verify python.tar.xz.asc python.tar.xz; 	gpgconf --kill all; 	rm -rf "$GNUPGHOME" python.tar.xz.asc; 	mkdir -p /usr/src/python; 	tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; 	rm python.tar.xz; 		cd /usr/src/python; 	gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; 	./configure 		--build="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		$(test "${gnuArch%%-*}" != 'riscv64' && echo '--with-lto') 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:--Wl},--strip-all"; 		arch="$(dpkg --print-architecture)"; arch="${arch##*-}"; 		case "$arch" in 			amd64|arm64) 				EXTRA_CFLAGS="${EXTRA_CFLAGS:-} -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer"; 				;; 			i386) 				;; 			*) 				EXTRA_CFLAGS="${EXTRA_CFLAGS:-} -fno-omit-frame-pointer"; 				;; 		esac; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		cd /; 	rm -rf /usr/src/python; 		find /usr/local -depth 		\( 			\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) 			-o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) 		\) -exec rm -rf '{}' + 	; 		ldconfig; 		apt-mark auto '.*' > /dev/null; 	apt-mark manual $savedAptMark; 	find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' 		| awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' 		| sort -u 		| xargs -rt dpkg-query --search 		| awk 'sub(":$", "", $1) { print $1 }' 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	apt-get dist-clean; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 	pip3 --version # buildkit
                        
# 2025-12-03 09:09:07  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=bc673c04375a1a3f0808c27ba8f0411ab811ad390a8740318ccb9c60fad8fd77
                        
# 2025-12-03 09:09:07  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.13.10
                        
# 2025-12-03 09:09:07  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305
                        
# 2025-12-03 09:09:07  3.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		ca-certificates 		netbase 		tzdata 	; 	apt-get dist-clean # buildkit
                        
# 2025-12-03 09:09:07  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-11-17 08:00:00  78.62MB 
# debian.sh --arch 'amd64' out/ 'trixie' '@1763337600'
                        
                    

镜像信息

{
    "Id": "sha256:25d72d148c884dcdbb7e74b223e0be7c0e667702a0690e959a00ac5a08fb04b3",
    "RepoTags": [
        "burakince/mlflow:3.7.0",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/burakince/mlflow:3.7.0"
    ],
    "RepoDigests": [
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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/burakince/mlflow@sha256:1af30e500dc4bb658ac54df756f07751349f27645da8e1f1609e062b81a041cf"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-12-07T00:45:33.423766366Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "mlflow",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "5000/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305",
            "PYTHON_VERSION=3.13.10",
            "PYTHON_SHA256=bc673c04375a1a3f0808c27ba8f0411ab811ad390a8740318ccb9c60fad8fd77",
            "PYTHONUNBUFFERED=1"
        ],
        "Cmd": [
            "mlflow",
            "server",
            "--backend-store-uri",
            "sqlite:///mlflow.sqlite",
            "--default-artifact-root",
            "./mlruns",
            "--host=0.0.0.0",
            "--port=5000"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/mlflow/",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "io.artifacthub.package.alternative-locations": "burakince/mlflow",
            "io.artifacthub.package.keywords": "machine-learning,ai,ml,model-management,mlflow,mlflow-tracking-server,mlflow-docker,mlflow-tracking,mlflow-kube",
            "io.artifacthub.package.license": "MIT",
            "io.artifacthub.package.logo-url": "https://raw.githubusercontent.com/mlflow/mlflow/master/assets/logo.svg",
            "io.artifacthub.package.maintainers": "[{\"name\":\"burakince\",\"email\":\"burak.ince@linux.org.tr\"}]",
            "io.artifacthub.package.readme-url": "https://raw.githubusercontent.com/burakince/mlflow/refs/heads/main/README.md",
            "maintainer": "Burak Ince \u003cburak.ince@linux.org.tr\u003e",
            "org.opencontainers.image.created": "2025-12-07T00:43:56.178Z",
            "org.opencontainers.image.description": "Mlflow Docker Image",
            "org.opencontainers.image.licenses": "MIT",
            "org.opencontainers.image.revision": "159f5b57a7031ca9e210c70ff489ad3ca1cfc0d7",
            "org.opencontainers.image.source": "https://github.com/burakince/mlflow",
            "org.opencontainers.image.title": "mlflow",
            "org.opencontainers.image.url": "https://github.com/burakince/mlflow",
            "org.opencontainers.image.version": "3.7.0"
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 1146458263,
    "GraphDriver": {
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}

更多版本

docker.io/burakince/mlflow:3.7.0

linux/amd64 docker.io1.15GB2026-04-28 10:01
26