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Library and framework for easily building professional command line applications on the JVM (Java, Groovy, Kotlin, Scala, etc). Usage help with ANSI colors. Autocomplete. Nested subcommands. Annotations and programmatic API. Easy to include as source to avoid adding dependencies. More than just a command line parser. | Run popular command-line tools within docker. It works on Linux, MacOS, and Windows (CMD, Powershell, Git Bash). You can quickly try out command line tools without the effort of downloading and installing them. |
Java 5-13ea;annotation API;programmatic API;GraalVM integration - for extremely fast startup;nested subcommands to any depth;strongly typed option parameters;strongly typed positional parameters;many, many built-in types;easily add custom type converters;interactive password options;supports Maps for options and positional parameters (like -Dkey=value Java system properties);no boilerplate code, just implement Runnable or Callable;supports both mixins and subclassing for reuse;built-in support for standard --help and --version options (zero code);built-in help subcommand;uses STDERR for error messages, STDOUT for requested help by default;allows any option prefix;POSIX-style clustered short options;highly configurable parser;parser tracing to facilitate troubleshooting;quality documentation;built-in Groovy script support;easily integrates with Dependency Injection containers;easily integrates with JLine 2 and JLine 3 to create interactive shell applications | Dockerized apps can access the current directory and read/modify files, just like native apps;
No need to know which docker image this package comes from;
Support for tools that don't have an official docker image;
Container cleaned up after use;
Ability to specify the version;
Version specification per directory |
Statistics | |
GitHub Stars 5.2K | GitHub Stars 1.3K |
GitHub Forks 443 | GitHub Forks 36 |
Stacks 10 | Stacks 13 |
Followers 12 | Followers 20 |
Votes 8 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.