https://github.com/broadinstitute/kpt-packages

A Catalog of Kpt packages and Blueprints

https://github.com/broadinstitute/kpt-packages

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.3%) to scientific vocabulary

Keywords from Contributors

projection interactive archival generic sequences observability autograding hacking shellcodes modular
Last synced: 11 months ago · JSON representation

Repository

A Catalog of Kpt packages and Blueprints

Basic Info
  • Host: GitHub
  • Owner: broadinstitute
  • License: mit
  • Default Branch: main
  • Size: 65.4 KB
Statistics
  • Stars: 1
  • Watchers: 5
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed about 1 year ago
Metadata Files
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README.md

kpt-packages

A Catalog of Kpt Packages and Blueprints

What is a Kpt Package?

A Kpt package is a collection of Kubernetes resources that are managed together as a unit. A package can be a single Kubernetes resource, or a collection of resources such as a Deployment, Service, and ConfigMap. A package can also be a collection of other packages.

The packages in this repo can be used alone or as part of a larger application. They can be used to create a new application, or to add functionality to an existing application. To learn more about packages, see the Kpt Packages Overview.

You can install a package by running kpt pkg get https://github.com/broadinstitute/kpt-packages/grafana --for-deployment

You can then update the package inputs to set the package parameters. Running kpt fn render grafana will render the package with the updated inputs.

How to use a Kpt Package

To use a package, you can run kpt pkg get <package-path> --for-deployment. This will download the package to your local machine and set it up for deployment. You can then run kpt fn render <package-name> to render the package with the default inputs.

example:

Shell kpt pkg get https://github.com/broadinstitute/kpt-packages/gcp-load-balancer/@v0

Update a package to a new version

To update an installed package to a new version, run kpt pkg update <package-path>. This will update the package to the version in the upstream repo.

Owner

  • Name: Broad Institute
  • Login: broadinstitute
  • Kind: organization
  • Location: Cambridge, MA

Broad Institute of MIT and Harvard

GitHub Events

Total
  • Delete event: 19
  • Issue comment event: 4
  • Push event: 14
  • Pull request review event: 14
  • Pull request event: 39
  • Create event: 18
Last Year
  • Delete event: 19
  • Issue comment event: 4
  • Push event: 14
  • Pull request review event: 14
  • Pull request event: 39
  • Create event: 18

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 41
  • Total Committers: 4
  • Avg Commits per committer: 10.25
  • Development Distribution Score (DDS): 0.22
Past Year
  • Commits: 23
  • Committers: 2
  • Avg Commits per committer: 11.5
  • Development Distribution Score (DDS): 0.043
Top Committers
Name Email Commits
dependabot[bot] 4****] 32
Alaric Hartmann t****n@g****m 7
coreone c****e 1
backstage-bits[bot] 1****] 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 0
  • Total pull requests: 59
  • Average time to close issues: N/A
  • Average time to close pull requests: 8 days
  • Total issue authors: 0
  • Total pull request authors: 4
  • Average comments per issue: 0
  • Average comments per pull request: 0.42
  • Merged pull requests: 46
  • Bot issues: 0
  • Bot pull requests: 54
Past Year
  • Issues: 0
  • Pull requests: 34
  • Average time to close issues: N/A
  • Average time to close pull requests: 7 days
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.21
  • Merged pull requests: 25
  • Bot issues: 0
  • Bot pull requests: 33
Top Authors
Issue Authors
Pull Request Authors
  • dependabot[bot] (79)
  • tfhartmann (5)
  • backstage-bits[bot] (2)
  • coreone (2)
Top Labels
Issue Labels
Pull Request Labels
dependencies (79) docker (79)