ansible-dokku | Ansible modules for installing and configuring Dokku

by dokku Python Version: v2022.12.19 License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | ansible-dokku Summary

ansible-dokku is a Python library typically used in Ansible, Ubuntu, Debian applications. ansible-dokku has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This Ansible role helps install Dokku on Debian/Ubuntu variants. Apart from installing Dokku, it also provides various modules that can be used to interface with dokku from your own Ansible playbooks.

Support

Quality

Security

License

Reuse

Support

ansible-dokku has a low active ecosystem.

It has 140 star(s) with 38 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 16 open issues and 58 have been closed. On average issues are closed in 186 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ansible-dokku is v2022.12.19

Quality

ansible-dokku has 0 bugs and 0 code smells.

Security

ansible-dokku has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ansible-dokku code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ansible-dokku is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ansible-dokku releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

ansible-dokku saves you 1308 person hours of effort in developing the same functionality from scratch.

It has 2936 lines of code, 126 functions and 16 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed ansible-dokku and discovered the below as its top functions. This is intended to give you an instant insight into ansible-dokku implemented functionality, and help decide if they suit your requirements.

Ensures that the resource limit is present
Perform a subprocess check
Clear all resources for a given process
Generate a report of resources limit
Ensure that the given storage is absent
Return the state of b_path
Destroy directory
Verify that the resources are present
Produce a report of resources reserved for a given process
Clone the app with the given data
Ensure proxy port ports exist
Ensure proxy ports are absent
Ensure the given domains are present
Ensure all domains are absent
Check if a service link is present
Verify that a service link is absent
Rundkku builder
Set Dokku network property
Set project properties
Ensures that the given module is present
Set the ACL for a given service
Set permissions for user
Set config values
Ensure that the named directory is present
Create version of dokku image
Verify that a module is absent

Get all kandi verified functions for this library.

ansible-dokku Key Features

No Key Features are available at this moment for ansible-dokku.

ansible-dokku Examples and Code Snippets

No Code Snippets are available at this moment for ansible-dokku.

Community Discussions

No Community Discussions are available at this moment for ansible-dokku.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ansible-dokku

You can download it from GitHub.
You can use ansible-dokku like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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