docker-toolkit VS koolkits

Compare docker-toolkit vs koolkits and see what are their differences.

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docker-toolkit koolkits
1 6
8 361
- 0.6%
0.0 1.3
over 2 years ago 9 months ago
Dockerfile Dockerfile
MIT License Apache License 2.0
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.

docker-toolkit

Posts with mentions or reviews of docker-toolkit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-01.

koolkits

Posts with mentions or reviews of koolkits. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-28.

What are some alternatives?

When comparing docker-toolkit and koolkits you can also consider the following projects:

zoneminder-base - An always up-to-date automatically building ZoneMinder container

docker-node - Official Docker Image for Node.js :whale: :turtle: :rocket:

bitnami-docker-kubectl - Bitnami Docker Image for Kubectl

netshoot - a Docker + Kubernetes network trouble-shooting swiss-army container

snypy-docker - Docker setup for running SnyPy

Tail - simple tail call optimization and stack safety for Java

docker-nginx - Docker Images for NGINX

kubephp - šŸ³ Production Grade, Rootless, and Optimized PHP Container Image Template for Cloud-Native Deployments and Kubernetes.

docker-java

QuickShell - QuickShell is an Eclipse plugin to use Java JShell inside the Eclipse IDE.

kool - From local development to the cloud: web apps development with containers made easy.

vardbg - A simple Python debugger and profiler that generates animated visualizations of program flow, useful for algorithm learning.