Package Usage : golang : github.com/argoproj/pkg
Explore the latest package usage data for github.com/argoproj/pkg in the golang ecosystem, including detailed information on package dependencies and their usage.
Total dependents: 322
Total downloads: 5,436,012
Showing first 100 dependents
More details on packages.ecosyste.ms - JSON
horizoncd/horizon-core v2.11.2
- version: v0.9.0
provectuslabs/argocd v1.7.6
- version: v0.0.0-20200624215116-23e74cb168fe
togettoyou/gcr.io.ml-pipeline.scheduledworkflow 2.0.1
- version: v0.11.0
bitnami/argo-workflow-exec 3.5.11
Bitnami container image for Argo Workflow Executor
- version: v0.13.6
nvthuong1996/argocd-image-updater latest
- version: v0.11.1-0.20211203175135-36c59d8fafe0
oawofolu/tanzu-data-tap 20240531.0543
- version: v0.11.1-0.20211203175135-36c59d8fafe0
bitnami/argo-workflow-cli 3.6.10
Bitnami container image for Argo Workflows
- version: v0.13.6
bitnami/argo-cd 3.1.1
Bitnami container image for Argo CD
- version: v0.11.1-0.20211203175135-36c59d8fafe0
datawire/kubectl-argo-rollouts vambassador-v3
- version: v0.7.0
alex202/argocd 2.2.1
- version: v0.11.1-0.20211203175135-36c59d8fafe0
camptocamp/argocd v2.14.5_c2c.1
- version: v0.13.7-0.20221221191914-44694015343d
akshithcodecrux2021/cape-manager preview-CAPE-99
- version: v0.11.1-0.20211203175135-36c59d8fafe0
bitnami/argo-workflow-controller 3.5.11
Bitnami container image for Argo Workflow Controller
- version: v0.13.6
wagely/python-argocd v0.0.4
- version: v0.13.7-0.20230627120311-a4dd357b057e
rafalskolasinski/core-builder 0.23
- version: v0.8.1
inseefrlab/onyxia-sparkr r4.5.1-spark3.5.6-2025.09.01
A minimal R environment configured to use Spark through the SparkR package.
- version: v0.13.6
ocdr/dkube-d3watcher 4.0.1
- version: v0.10.1
jessesuen/kargo 1.0.2-shard
- version: v0.13.7-0.20230627120311-a4dd357b057e
ocdr/dkube-d3studylauncher 4.0.1
- version: v0.10.1
directa24/kubectl-kustomize master-release-10-10-24-build-id-36
- version: v0.13.7-0.20230626144333-d56162821bd1
inseefrlab/detection-bidonvilles v0.0.2
- version: v0.13.6
tcl1/clcontroller 0.2.2
- version: v0.11.1-0.20211203175135-36c59d8fafe0
asherslab/argoexec v3.4.6
- version: v0.13.6
mesosphere/dispatch-cue v0.7
- version: v0.0.0-20200319004004-f46beff7cd54
rajeshvkothari/tosca-gawp 210120241
- version: v0.8.1
vladmorzhanov/godaemon v6.3.1
- version: v0.11.1-0.20211203175135-36c59d8fafe0
thingdust/vscode_415cf4fd latest
- version: v0.11.1-0.20211203175135-36c59d8fafe0
statsig/kubectl-via-gcloud latest
- version: v0.9.0
tcl1/fs-backend 1.3.0
- version: v0.13.6
inseefrlab/onyxia-base latest-gpu-2025.07.28
Base image for Onyxia services.
- version: v0.13.6
inseefrlab/mlflow v2.21.3
- version: v0.13.6
quayioargoproj/argo-rollouts v1.7.2
- version: v0.13.6
inseefrlab/onyxia-python-tensorflow py3.12.11-2025.09.15
- version: v0.13.6, v0.11.0
vishalbihanidev/devtron 90e3d5d2-6077-1990
- version: v0.13.6
codazzo/gcloud-sdk-buildx latest
- version: v0.11.1-0.20211203175135-36c59d8fafe0
inseefrlab/onyxia-python-datascience py3.11.12-2025.06.02
- version: v0.13.6
neuroxess/argocd v2.5.3
- version: v0.11.1-0.20211203175135-36c59d8fafe0
inseefrlab/onyxia-pyspark py3.11.12-spark3.5.5-2025.06.02
A minimal Python environment configured to use Spark through the PySpark interface.
- version: v0.13.6
aitfdh/argoexecutor 1.8.0
- version: v0.11.0
aitfdh/argoworkflowcontroller 1.8.0
- version: v0.11.0
inseefrlab/onyxia-python-pytorch py3.13.7-gpu-2025.09.08
- version: v0.13.6
tcl1/fsbckendm v159
- version: v0.13.6
inseefrlab/onyxia-vscode-r-python-julia r4.5.1-py3.13.5-2025.07.28
- version: v0.13.6
enrico204/argocd v2.5.4-v3.7.3-4.2.2-1.25.0-1
- version: v0.11.1-0.20211203175135-36c59d8fafe0
cblefari/onyxia-python-datascience py3.9.16-2023.12.04
- version: v0.13.6
inseefrlab/onyxia-jupyter-pytorch py3.10.13-gpu-2024.01.18
- version: v0.13.6
vuxuanlai/argocd v2.1.2
- version: v0.9.1
glueops/codespaces v0.19.0
- version: v0.11.1-0.20211203175135-36c59d8fafe0
thingdust/neovim_2455bb95 latest
- version: v0.11.1-0.20211203175135-36c59d8fafe0
albertoclaritdocker/argocli v3.3.5
- version: v0.11.0
mirekphd/ml-cpu-py311-jup-cust 20231009
- version: v0.13.7-0.20230627120311-a4dd357b057e
rafalskolasinski/seldon-deploy-server 1.5.0
- version: v0.2.0
anjia0532/ml-pipeline.api-server 2.3.0
- version: v0.11.0
devopseasylearning2021/master-ubuntu-image 004.4
- version: v0.11.1-0.20211203175135-36c59d8fafe0
docksee/argoex latest
- version: v0.13.6
ibacalu/argocd 1.0.6
Rebuilding the ArgoCD Image with additional tools
- version: v0.11.1-0.20211203175135-36c59d8fafe0
inseefrlab/trevas-jupyter 0.7.0
Jupyter notebook providing VTL support through Trevas engine
- version: v0.13.6
wbliu/workflow-controller v3.3.8-license-compliance
- version: v0.11.0
giantswarm/argocd v3.0.12
- version: v0.11.1-0.20211203175135-36c59d8fafe0
eheimbuch/argocd latest
- version: v0.13.7-0.20230626144333-d56162821bd1
anjia0532/ml-pipeline.cache-server 2.3.0
- version: v0.11.0
exastro/epoch-cicd-api 0.1.5_20211027_1530
- version: v0.9.0, v0.9.1
kubegems/kubegems-edge-agent v1.24.8
- version: v0.11.1-0.20211203175135-36c59d8fafe0
kubealon/jenkins-docker-agent 1.2
- version: v0.13.7-0.20221221191914-44694015343d
ciprnd/onyxia-sparkr r4.1.3-spark3.3.1-2023.05.26
- version: v0.13.6
dockerisprettygreat/horizon-core v2.0.4
- version: v0.9.0
takumakume/argocd debug
- version: v0.11.1-0.20211203175135-36c59d8fafe0
anjia0532/ml-pipeline.workflow-controller v3.4.17-license-compliance
- version: v0.11.0
inseefrlab/onyxia-vscode-pytorch py3.13.7-2025.09.08
- version: v0.13.6
inseefrlab/onyxia-vscode-tensorflow py3.12.9-2025.06.02
- version: v0.13.6
anjia0532/ml-pipeline.scheduledworkflow 2.3.0
- version: v0.11.0
anjia0532/ml-pipeline.persistenceagent 2.3.0
- version: v0.11.0
inseefrlab/onyxia-jupyter-tensorflow py3.12.11-2025.06.16
- version: v0.13.6
takumakume/argocd-applicationset latest
- version: v0.11.1-0.20211203175135-36c59d8fafe0
indreshgowda/kad-agent 0.1.1
- version: v0.11.1-0.20211203175135-36c59d8fafe0
ashexp/devtron b94c5f01-41-500
- version: v0.13.6
inseefrlab/onyxia-rstudio-sparkr r4.4.3-spark3.5.6-2025.09.22
A RStudio service built on top of a R environment with SparkR.
- version: v0.13.6
henrydu1220/cloudinfra-setup latest
- version: v0.11.1-0.20211203175135-36c59d8fafe0
prune/argocd latest-prune-9
Debug images of Argocd
- version: v0.13.7-0.20230626144333-d56162821bd1
cblefari/onyxia-r-minimal r4.4.2-2025.05.26
- version: v0.13.6
mirekphd/ml-cpu-py39-vsc-cust 20231008
- version: v0.13.7-0.20221221191914-44694015343d
jeevarathinamd475/argocd3 2.4.9
- version: v0.11.1-0.20211203175135-36c59d8fafe0
geborgeson/arc.runner latest
- version: v0.13.7-0.20221221191914-44694015343d
inseefrlab/onyxia-jupyter-r r4.3.3-2025.04.07
- version: v0.13.6
kubefill/kubefill 1.0.7
- version: v0.13.6
thenaim/argocd v2.13.3
ArgoCD with Helm-Sops
- version: v0.13.7-0.20230626144333-d56162821bd1
mecsys/custom-argocd v2.6.1
- version: v0.13.7-0.20221115212233-27bd8ce31415
wangwei0326/ml-pipeline-cache-server 2.0.0-alpha.3
gcr.io/ml-pipeline/cache-server:2.0.0-alpha.3
- version: v0.11.0
devopseasylearning2021/canary-test 001
- version: v0.11.1-0.20211203175135-36c59d8fafe0
krancour/kargo ui-experiment
- version: v0.13.7-0.20221221191914-44694015343d