docker-supervisor | A supervisor tool by docker

by GraySilver Python Version: Current License: Non-SPDX

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

kandi X-RAY | docker-supervisor Summary

docker-supervisor is a Python library. docker-supervisor has no bugs, it has no vulnerabilities, it has build file available and it has low support. However docker-supervisor has a Non-SPDX License. You can download it from GitHub.

A supervisor tool by docker.

Support

Quality

Security

License

Reuse

Support

docker-supervisor has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

docker-supervisor has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of docker-supervisor is current.

Quality

docker-supervisor has no bugs reported.

Security

docker-supervisor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

docker-supervisor has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

docker-supervisor releases are not available. You will need to build from source code and install.

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

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docker-supervisor Key Features

No Key Features are available at this moment for docker-supervisor.

docker-supervisor Examples and Code Snippets

No Code Snippets are available at this moment for docker-supervisor.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install docker-supervisor

You can download it from GitHub.
You can use docker-supervisor 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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