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docker.io/doccano/doccano:latest linux/amd64

docker.io/doccano/doccano:latest - 国内下载镜像源 浏览次数:10

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

Doccano是一个开源的文本标注工具,支持多种自然语言处理任务的标注工作,包括文本分类、命名实体识别、情感分析、文本摘要等。它提供直观的用户界面,方便团队协作进行数据标注,帮助用户快速构建高质量的训练数据集,适用于机器学习和深度学习模型的训练与优化。

源镜像 docker.io/doccano/doccano:latest
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/doccano/doccano:latest
镜像ID sha256:8b35172b9d9ebb02118275a0c007f0cdb01a31999cc9607c466a37d4c75423c8
镜像TAG latest
大小 862.44MB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /doccano/tools/run.sh
启动入口
工作目录 /doccano/backend
OS/平台 linux/amd64
浏览量 10 次
贡献者
镜像创建 2026-01-11T15:25:14.869511041Z
同步时间 2026-04-15 10:00
开放端口
8000/tcp
目录挂载
/data
环境变量
PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LANG=C.UTF-8 GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D PYTHON_VERSION=3.10.19 PYTHON_SHA256=c8f4a596572201d81dd7df91f70e177e19a70f1d489968b54b5fbbf29a97c076 DATABASE_URL=sqlite:////data/doccano.db DEBUG=False STANDALONE=True SECRET_KEY=change-me-in-production PORT=8000 WORKERS=2 CELERY_WORKERS=2 GOOGLE_TRACKING_ID= DJANGO_SETTINGS_MODULE=config.settings.production
镜像标签
2026-01-11T15:19:38.764Z: org.opencontainers.image.created Open source annotation tool for machine learning practitioners.: org.opencontainers.image.description MIT: org.opencontainers.image.licenses afa9f71be331e7c3dbf42996711c196b97ae4644: org.opencontainers.image.revision https://github.com/doccano/doccano: org.opencontainers.image.source doccano: org.opencontainers.image.title https://github.com/doccano/doccano: org.opencontainers.image.url 1.8.5: org.opencontainers.image.version

Docker拉取命令

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

Containerd拉取命令

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

Shell快速替换命令

sed -i 's#doccano/doccano:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/doccano/doccano: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/doccano/doccano:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/doccano/doccano:latest  docker.io/doccano/doccano: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/doccano/doccano:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/doccano/doccano:latest  docker.io/doccano/doccano:latest'

镜像构建历史


# 2026-01-11 23:25:14  0.00B 设置默认要执行的命令
CMD ["/doccano/tools/run.sh"]
                        
# 2026-01-11 23:25:14  0.00B 声明容器运行时监听的端口
EXPOSE [8000/tcp]
                        
# 2026-01-11 23:25:14  0.00B 指定运行容器时使用的用户
USER doccano
                        
# 2026-01-11 23:25:14  0.00B 设置环境变量 DJANGO_SETTINGS_MODULE
ENV DJANGO_SETTINGS_MODULE=config.settings.production
                        
# 2026-01-11 23:25:14  0.00B 设置环境变量 GOOGLE_TRACKING_ID
ENV GOOGLE_TRACKING_ID=
                        
# 2026-01-11 23:25:14  0.00B 设置环境变量 CELERY_WORKERS
ENV CELERY_WORKERS=2
                        
# 2026-01-11 23:25:14  0.00B 设置环境变量 WORKERS
ENV WORKERS=2
                        
# 2026-01-11 23:25:14  0.00B 设置环境变量 PORT
ENV PORT=8000
                        
# 2026-01-11 23:25:14  0.00B 设置环境变量 SECRET_KEY
ENV SECRET_KEY=change-me-in-production
                        
# 2026-01-11 23:25:14  0.00B 设置环境变量 STANDALONE
ENV STANDALONE=True
                        
# 2026-01-11 23:25:14  0.00B 设置环境变量 DEBUG
ENV DEBUG=False
                        
# 2026-01-11 23:25:14  0.00B 设置环境变量 DATABASE_URL
ENV DATABASE_URL=sqlite:////data/doccano.db
                        
# 2026-01-11 23:25:14  0.00B 创建挂载点用于持久化数据或共享数据
VOLUME [/data]
                        
# 2026-01-11 23:25:14  88.22MB 执行命令并创建新的镜像层
RUN /bin/sh -c python manage.py collectstatic --noinput  && chown -R doccano:doccano . # buildkit
                        
# 2026-01-11 23:25:09  28.63MB 复制新文件或目录到容器中
COPY /frontend/dist /doccano/backend/client/dist # buildkit
                        
# 2026-01-11 23:22:31  0.00B 设置工作目录为/doccano/backend
WORKDIR /doccano/backend
                        
# 2026-01-11 23:22:31  25.31MB 复制新文件或目录到容器中
COPY --chown=doccano:doccano . /doccano # buildkit
                        
# 2026-01-11 23:22:31  199.00B 复制新文件或目录到容器中
COPY /usr/local/bin/gunicorn /usr/local/bin/gunicorn # buildkit
                        
# 2026-01-11 23:22:31  196.00B 复制新文件或目录到容器中
COPY /usr/local/bin/celery /usr/local/bin/celery # buildkit
                        
# 2026-01-11 23:22:31  575.70MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.10/site-packages /usr/local/lib/python3.10/site-packages # buildkit
                        
# 2026-01-11 23:20:01  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir /data  && chown doccano:doccano /data # buildkit
                        
# 2026-01-11 23:20:01  8.92KB 执行命令并创建新的镜像层
RUN /bin/sh -c useradd -ms /bin/sh doccano # buildkit
                        
# 2026-01-11 23:20:00  22.70MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update  && apt-get install -y --no-install-recommends     libpq-dev=17.*     unixodbc-dev=2.*     libssl-dev=3.*  && apt-get clean  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-12-30 08:43:38  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2025-12-30 08:43:38  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
                        
# 2025-12-30 08:43:38  39.44MB 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"; 	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 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==79.0.1' 		'wheel<0.46' 	; 	pip3 --version # buildkit
                        
# 2025-12-30 08:38:13  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=c8f4a596572201d81dd7df91f70e177e19a70f1d489968b54b5fbbf29a97c076
                        
# 2025-12-30 08:38:13  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.10.19
                        
# 2025-12-30 08:38:13  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2025-12-30 08:38:13  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
                        
# 2025-12-30 08:38:13  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-12-30 08:38:13  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
                        
# 2025-12-29 08:00:00  78.62MB 
# debian.sh --arch 'amd64' out/ 'trixie' '@1766966400'
                        
                    

镜像信息

{
    "Id": "sha256:8b35172b9d9ebb02118275a0c007f0cdb01a31999cc9607c466a37d4c75423c8",
    "RepoTags": [
        "doccano/doccano:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/doccano/doccano:latest"
    ],
    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-01-11T15:25:14.869511041Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "doccano",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8000/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LANG=C.UTF-8",
            "GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D",
            "PYTHON_VERSION=3.10.19",
            "PYTHON_SHA256=c8f4a596572201d81dd7df91f70e177e19a70f1d489968b54b5fbbf29a97c076",
            "DATABASE_URL=sqlite:////data/doccano.db",
            "DEBUG=False",
            "STANDALONE=True",
            "SECRET_KEY=change-me-in-production",
            "PORT=8000",
            "WORKERS=2",
            "CELERY_WORKERS=2",
            "GOOGLE_TRACKING_ID=",
            "DJANGO_SETTINGS_MODULE=config.settings.production"
        ],
        "Cmd": [
            "/doccano/tools/run.sh"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": {
            "/data": {}
        },
        "WorkingDir": "/doccano/backend",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2026-01-11T15:19:38.764Z",
            "org.opencontainers.image.description": "Open source annotation tool for machine learning practitioners.",
            "org.opencontainers.image.licenses": "MIT",
            "org.opencontainers.image.revision": "afa9f71be331e7c3dbf42996711c196b97ae4644",
            "org.opencontainers.image.source": "https://github.com/doccano/doccano",
            "org.opencontainers.image.title": "doccano",
            "org.opencontainers.image.url": "https://github.com/doccano/doccano",
            "org.opencontainers.image.version": "1.8.5"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 862438688,
    "GraphDriver": {
        "Data": {
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    "Metadata": {
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}

更多版本

docker.io/doccano/doccano:latest

linux/amd64 docker.io862.44MB2026-04-15 10:00
9