Ecosyste.ms: Docker
An open API service providing dependency metadata for docker images.
Package Usage : maven : org.apache.arrow:arrow-format
Explore the latest package usage data for org.apache.arrow:arrow-format in the maven ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 1,905
Total downloads: 785,907,183
More details on packages.ecosyste.ms - JSON
mirekphd/ml-pred-py36-cuda90 20190826
- version: 0.10.0
intelanalytics/bigdl-ppml-azure-occlum 2.1.0
- version: 2.0.0, 1.0.1
intelliseqngs/bcl-to-fq 1.0.2
- version: 0.10.0
intelanalytics/bigdl-spark-3.1.2 ctc-orca-client
- version: 2.0.0, 1.0.1
gesiscss/binder-binder-2dexamples-2djupyter-2dstacks-6f562c b33625eac93e25f8433ed56f6ad09f000f2987e8
- version: 0.10.0
intelliseqngs/gatk-4.2.0.0-hg38 1.1.0
- version: 0.10.0
bde2020/spark-sbt-template latest
Template to build SBT applications to run on top of a Spark cluster
- version: 7.0.0
minio/spark v2.4.5-hadoop-3.1
- version: 0.10.0
radanalyticsio/radanalytics-r-spark v0.6.3
OpenShift S2I builder image for R and Apache Spark using sparklyr with Oshinko management
- version: 0.10.0
izone/anaconda gpu
Anaconda3 5.2.0, R-Notebook and PySpark v2.3.2
- version: 0.8.0
adityapant/infa_spark_shuffle latest
- version: 0.16.0, 0.15.1
ctomlins/testuniv_update latest
- version: 0.10.0
muneesmohammed/platform-3.3.0-hadoop-3.3.2-java-11-scala-2.12-python-3.8-dm18ndlp_dlp_jar113 latest
- version: 7.0.0
murculus/kudu-thirdparty x86_64
Prebuilt Kudu thirdparty dependencies, only the uninstrumented part.
- version: 0.8.0
murculus/kudu-thirdparty-all x86_64
Prebuilt Kudu thirdparty dependencies, both uninstrumented and instrumented.
- version: 0.8.0
eminn/spark-master latest
- version: 0.15.1
cloudcheflabs/chango-data-api 1.7.0
- version: 11.0.0, 7.0.0, 2.0.0
intelanalytics/analytics-zoo-ppml-trusted-realtime-ml-scala-graphene 0.10-SNAPSHOTchrtmp
- version: 1.0.1
qdidiscoveryservices/gatk-v2461_bwa_aws_vardict latest
- version: 0.10.0
hoonbiolab/hl_base v1.2
- version: 0.10.0
dview/hive3 1.2-SNAPSHOT
- version: 0.8.0
iomete/spark-operator 3.2.1.1
- version: 2.0.0, 6.0.0
glapss/airflow 2.7.0-python3.11-v1
- version: 2.0.0
mirekphd/ml-cpu-r35-nx devel_fdbf539
- version: 0.8.0
intelliseqngs/collect-hs-metrics 1.0.0
- version: 0.10.0
truecharts/jupyter-pyspark build20230428091452
- version: 7.0.0, 11.0.0
brijeshdhaker/spark 3.3.1
- version: 7.0.0
intelliseqngs/gatk-4.2.4.1 1.0.1
- version: 0.10.0
truecharts/jupyter-all-spark build20230428071441
- version: 11.0.0, 7.0.0
mkenjis/ubpyspk_img latest
- version: 0.15.1
rkchee/brain neuron
- version: 7.0.0
kollurusharma/spark-py 3.2.0_01_final
- version: 2.0.0
zakuroai/agent 2022
- version: 7.0.0
6zar/pyspark_docker latest
Simplified Jupyter Notebook server with docker command-line commands, for root mode execution.
- version: 0.10.0
accelqe/automation_m2_repo_latest latest
- version: 0.16.0
1science/jupyter python-3.8.8
1science version of jupyter/pyspark-notebook
- version: 2.0.0
cabreratoxy/pyopera 0.205.0
pyOPERA-related images.
- version: 6.0.0
vectcdesjars/e2etesting 23.3.4.0.dev1641
- version: 11.0.0
ldes/nifi 1.20.0-jdk18
base image for the Linked Data Event Stream Workbench
- version: 10.0.1
openaimp/mypyspark latest
- version: 7.0.0
saicaifactory/saic-dataiku 12.0.0-test
Dataiku Application
- version: 7.0.0
rajagile/spark simpleauth
- version: 2.0.0
iomete/spark-py 3.5-latest
iomete public spark-py images bundled with necessary libraries and optimizations
- version: 12.0.1, 7.0.0, 11.0.0, 2.0.0, 6.0.0
kollurusharma/jupyter_single_user_spark 1.2.0_01_final
- version: 2.0.0
avlitsov/my-spark-py-linux latest
- version: 7.0.0
kennedyuche/deltashare latest
- version: 7.0.0
uochan8/hudi-node latest
- version: 7.0.0
chhengkim/zipkin-dependencies 2.6.4
custom zipkin-dependencies 2.6.4 cron tab run every 3 min to collect dependencies
- version: 0.10.0
gaozhenhai/spark v3.1.3
- version: 2.0.0
inseefrlab/trevas-jupyter renovate-s4u-maven-settings-action-3.x
Jupyter notebook providing VTL support through Trevas engine
- version: 7.0.0, 2.0.0
adityapant/spark_netflix v3.0.0
- version: 0.15.1
mirekphd/ml-cpu-r35-rdp 20180918
- version: 0.8.0
intelanalytics/bigdl-k8s-spark-3.1.2 latest
- version: 1.0.1, 2.0.0
eswees/spark executor
- version: 7.0.0
evgeniypolyakov/mlp-dev-env-jupyter-sklearn v2
- version: 7.0.0
intelliseqngs/resources-pgx-polygenic 1.2.4
- version: 0.10.0
hadiazad/spark-py v3.1.1
- version: 2.0.0
mirekphd/ml-feature-store 20190909
- version: 0.10.0
nwodtuhs/exegol-builds debug0005-arm64
Registry used to temporarily store intermediate images before they get pushed to prod registry
- version: 10.0.1
hoonbiolab/cnvkit v1.1
- version: 0.10.0
momoadcch/pyspark-notebook v3.2.0-py39
- version: 2.0.0
intelliseqngs/task_bam-metrics-hg38 1.0.2
- version: 0.10.0
intelanalytics/bigdl-ppml-trusted-realtime-ml-scala-graphene latest
- version: 1.0.1, 0.16.0
pauloo23/hive 3.1.3
- version: 0.8.0
cloudcheflabs/dataroaster-jupyter 1.1.3
- version: 0.15.1
muneesmohammed/spark platform-3.3.0-hadoop-3.3.2-java-8-scala-2.12-python-3.8-dm19-rc1azure55
- version: 7.0.0
manikmalhotra13/apache-pyspark-amd64-v4 latest
- version: 7.0.0
davarski/spark-s3 2.3.0
- version: 0.8.0
vulshare/cve-2020-1956 admin
- version: 0.8.0
ctomlins/testuniv latest
- version: 0.10.0
iomete/sample-job 1.0.1
- version: 11.0.0, 7.0.0, 6.0.0, 2.0.0
xalted/spark-worker 3.0.2
- version: 0.15.1
ignalina/zeppelin_0.10.0 latest
Forked and modernized to compile with hadoop 3.3.1 + spark 3.1.2
- version: 2.0.0