helm-push VS helm-s3

Compare helm-push vs helm-s3 and see what are their differences.


Helm plugin to push chart package to ChartMuseum (by chartmuseum)


⎈ Helm plugin that adds support for AWS S3 as a chart repository. (by hypnoglow)
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helm-push helm-s3
1 1
610 514
0.5% -
0.0 0.0
3 months ago 5 days ago
Go Go
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of helm-push. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-22.


Posts with mentions or reviews of helm-s3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-22.

What are some alternatives?

When comparing helm-push and helm-s3 you can also consider the following projects:

chartmuseum - helm chart repository server

helm-mapkubeapis - This is a Helm plugin which map deprecated or removed Kubernetes APIs in a release to supported APIs

helm-secrets - A helm plugin that help manage secrets with Git workflow and store them anywhere

helm-gcs - Manage Helm 3 repositories on Google Cloud Storage 🔐 **privately**

chart-releaser - Hosting Helm Charts via GitHub Pages and Releases

minio-go - MinIO Go client SDK for S3 compatible object storage

kubernetes-operator-roiergasias - 'Roiergasias' kubernetes operator is meant to address a fundamental requirement of any data science / machine learning project running their pipelines on Kubernetes - which is to quickly provision a declarative data pipeline (on demand) for their various project needs using simple kubectl commands. Basically, implementing the concept of No Ops. The fundamental principle is to utilise best of docker, kubernetes and programming language features to run a workflow with minimal workflow definition syntax. It is a Go based workflow running on command line or Kubernetes with the help of a custom operator for a quick and automated data pipeline for your machine learning projects (a flavor of MLOps).

charts - ⚠️(OBSOLETE) Curated applications for Kubernetes

distribution-spec - OCI Distribution Specification

helm - The Kubernetes Package Manager