Ecosyste.ms: Docker
An open API service providing dependency metadata for docker images.
Package Usage : maven : org.apache.spark:spark-hive-thriftserver_2.11
Explore the latest package usage data for org.apache.spark:spark-hive-thriftserver_2.11 in the maven ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 210
Total downloads: 1,128,431
More details on packages.ecosyste.ms - JSON
pingcap/tispark latest
- version: 2.4.3
radanalyticsio/openshift-spark-py36 2.4-latest
Apache Spark image for OpenShift (Kubernetes) with Python 3.6 set as the default Python interpreter
- version: 2.4.5
radanalyticsio/radanalytics-pyspark-py36 stable
OpenShift S2I builder image for Python 3.6 and Apache Spark with Oshinko management
- version: 2.4.5
hurence/spark 2.4.3
spark container
- version: 2.4.3
radanalyticsio/base-notebook 2.3-latest
A simple Jupyter (https://jupyter.org/) notebook equipped to run on OpenShift.
- version: 2.3.0
radanalyticsio/workshop-notebook latest
notebook for learning Apache Spark and OpenShift
- version: 2.2.1
cyb3rward0g/helk-spark-worker 2.4.3
- version: 2.4.3
mesosphere/jupyter-service-worker dac48ec9a330e35c81c72c588391fda43a53220fb17609e0f9bf7c717e9ab11f-base
- version: 2.4.0
localstack/bigdata latest
External image used by LocalStack for certain bigdata images (deprecated!)
- version: 2.4.8
cyb3rward0g/jupyter-hunter 0.0.9
- version: 2.4.5
edxops/analytics_pipeline lilac.master
- version: 2.1.0
izone/hadoop ecosystem
Hadoop 2.8.5 Ecosystem fully distributed, Jupyter Notebook, RStudio Server, Julia, jdbc implement
- version: 2.3.2
edxops/analytics_pipeline_spark_worker lilac.master
- version: 2.1.0
edxops/analytics_pipeline_spark_master latest
- version: 2.1.0
predictionio/pio 0.13.0
- version: 2.2.2
cyb3rward0g/helk-spark-master 2.4.3
- version: 2.4.3
mesosphere/mesosphere-data-toolkit latest
- version: 2.2.1
radanalyticsio/jupyter-notebook-py3.5 latest
Project Jupyter notebook based on Python 3.5
- version: 2.2.1
cyb3rward0g/helk-jupyter 0.32.1
- version: 2.3.0
cyb3rward0g/jupyter-hunt 0.0.7
- version: 2.4.4
mesosphere/mesosphere-jupyter-service latest
- version: 2.2.1
gesiscss/binder-hunters-2dforge-2dthreathunter-2dplaybook-988b6e 1aff0cd814e7ba156962d7945a61a4947371f526
- version: 2.4.5
aa8y/spark latest
Docker image for Apache Spark based on Alpine linux.
- version: 2.4.0
mirekphd/ml-gpu-py36-cuda90 20191013
- version: 2.4.4
intelanalytics/analytics-zoo latest
Docker image is used for fast analytics-zoo installation and configuration.
- version: 2.4.6
fjardim/jupyter-spark latest
- version: 2.4.1
intelanalytics/hyper-zoo latest
Analytics Zoo hyperzoo image has been built to easily run applications on Kubernetes cluster.
- version: 2.4.6
mirekphd/ml-cpu-r35-rs 20190201
- version: 2.3.2
alex202/spark-stackposts 0.0.19
- version: 2.3.0
adityapant/spark v3.2.0
- version: 2.3.1
predictionio/pio-testing cross-build
DO NOT USE FOR PRODUCTION. Container for integration tests on Travis.
- version: 2.0.2
zhuangweikang/dmsconfig_consumer latest
- version: 2.4.7
cyb3rward0g/helk-spark-base 2.4.3
- version: 2.4.3
intelanalytics/analytics-zoo-ppml-trusted-big-data-ml-scala-graphene 0.11.0
- version: 2.4.6
radanalyticsio/jupyter-notebook-py2.7 latest
Project Jupyter notebook based on Python 2.7
- version: 2.2.1
alex202/spark-pi 0.0.11
- version: 2.3.0
tobegit3hub/openspark latest
The open environment to run Spark examples
- version: 2.4.0, 2.3.0
intelanalytics/hyper-zoo-spark-2.4.6 latest
- version: 2.4.6
zenika/spark_zeppelin_standalone v3
Apache Zeppelin with a preconfigured (one node) Apache Spark 2.0
- version: 2.0.0
analyticsci/openshift-spark v2.3.0-prom-kubecon
- version: 2.3.0
mirekphd/ml-cpu-r35-jnb devel_2b2752c
- version: 2.3.0
aalamsoft/qbot latest
- version: 2.4.0
amine2733/spark-hadoop latest
- version: 2.2.0
localstack/spark latest
- version: 2.4.8
predictionio/pio-jupyter latest
- version: 2.2.2
mirekphd/ml-pred-py36-cuda90 20190826
- version: 2.4.3
gesiscss/binder-binder-2dexamples-2djupyter-2dstacks-6f562c b33625eac93e25f8433ed56f6ad09f000f2987e8
- version: 2.4.0
radanalyticsio/radanalytics-r-spark v0.6.3
OpenShift S2I builder image for R and Apache Spark using sparklyr with Oshinko management
- version: 2.4.5
izone/anaconda gpu
Anaconda3 5.2.0, R-Notebook and PySpark v2.3.2
- version: 2.3.2
bde2020/sc6-spark-submit latest
SC6 Spark Submit
- version: 2.1.0
bochuxt/docker-cicd-wrapper latest
- version: 2.1.1
mirekphd/ml-cpu-r35-nx devel_fdbf539
- version: 2.3.0
cube2222/scalasbtspark latest
- version: 2.0.0-preview
radanalyticsio/var-sandbox latest
- version: 2.1.0
6zar/pyspark_docker latest
Simplified Jupyter Notebook server with docker command-line commands, for root mode execution.
- version: 2.4.8
luissalgadofreire/h2o-pysparkling onbuild
Creates a machine learning environment using h2o's sparkling water in pysparkling mode.
- version: 2.2.0
mirekphd/ml-cpu-r35-rdp 20180918
- version: 2.3.0
mirekphd/ml-feature-store 20190909
- version: 2.4.3
vulshare/cve-2020-1956 admin
- version: 2.3.1
intelanalytics/bigdl-spark-2.4.6 2.1.0
- version: 2.4.6
bengal1/spark-py 2.4
- version: 2.4.0
analyticsci/radanalytics-java-spark v2.1.0
- version: 2.1.0
alex202/spark-example 2.3.0
- version: 2.3.0
analyticsci/python-tox-radanalytics.ci latest
- version: 2.1.0
intelanalytics/aidc-zoo-tutorials 0.5
- version: 2.3.1
alex202/zeppelin latest
- version: 2.2.1
mkenjis/ubzepp_img latest
- version: 2.3.2
intelanalytics/analytics-zoo-ppml-trusted-big-data-ml-scala-occlum 0.11.0
- version: 2.4.6
ivan676/spark-livy-k8s 1.0.0
- version: 2.4.7
luissalgadofreire/jupyter-spark onbuild
Creates an environment for local jupyter notebook based pyspark data science projects.
- version: 2.2.0
mirekphd/ml-cpu-r35-guac devel_6f33d1e
- version: 2.3.0
cyb3rward0g/helk-jupyterhub-single-user 0.0.2
- version: 2.3.1
alex202/spark v2.3.0
- version: 2.3.0
izone/spark latest
Apache Spark 2.4.3
- version: 2.4.4
luissalgadofreire/zeppelin-spark onbuild
Creates a spark data science environment using Apache Zeppelin as the web UI.
- version: 2.2.0
mkenjis/ubspkcli_yarn_img latest
- version: 2.3.2
mirekphd/ml-gpu-r35-cuda90 devel_00b4e38
- version: 2.3.0
gesiscss/binder-mlverse-2dmlverse-2dbinder-2c46de ffe17b361eac2e2a5853d3f33d9da581ace546e7
- version: 2.3.3
hontikyana/spark-mongo latest
- version: 2.4.4
bengal1/spark-r 2.4
- version: 2.4.0
atingupta2005/ubuntu_ml latest
To setup python development environment using JupyterHub
- version: 2.2.0
intelanalytics/analytics-zoo-bigdl-course latest
- version: 2.3.1
ladhaprafull/spark-py-pi latest
- version: 2.4.0
knightxun/spark 2.4
- version: 2.4.5
enyachoke/spark-hadoop 2.4.3
- version: 2.4.3
jiandong/all-spark-notebook latest
- version: 2.4.0
ocdr/spark-py 2.4.0
- version: 2.4.0
mirekphd/ml-cpu-r36-rs 20200131
- version: 2.4.3
adityapant/spark-shuffle v3.2.0
- version: 2.3.1
pego/ros_hadoop latest
- version: 2.3.2
radanalyticsio/intelligent-apps-notebooks latest
Notebooks for the intelligent apps workshop. github.com/radanalyticsio/workshop/notebooks
- version: 2.2.1
mkenjis/ubspkcli_kfk_img latest
- version: 2.3.2
mkenjis/ubspk_img latest
- version: 2.3.2
vaidyasm/kaggle-python latest
- version: 2.4.5
mirekphd/ml-gpu-r35-cuda90-rstud devel_9f39157
- version: 2.3.0
gesiscss/binder-r-2dspark-2dthe-2dr-2din-2dspark-5eb15d 68b42f8c2b8f78ed9ce68bded4ae6549d2a423d5
- version: 2.3.3
kenwood/spark-operator v1beta2-1.1.0-2.4.5
- version: 2.4.5