outline | A project skeleton creation tool

by seanballais Python Version: Current License: MPL-2.0

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

kandi X-RAY | outline Summary

outline is a Python library. outline has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However outline build file is not available. You can download it from GitHub.

A project skeleton creation tool

Support

Quality

Security

License

Reuse

Support

outline has a low active ecosystem.

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

It had no major release in the last 6 months.

outline has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of outline is current.

Quality

outline has no bugs reported.

Security

outline has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

outline is licensed under the MPL-2.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

outline releases are not available. You will need to build from source code and install.

outline has no build file. You will be need to create the build yourself to build the component from source.

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outline Key Features

No Key Features are available at this moment for outline.

outline Examples and Code Snippets

No Code Snippets are available at this moment for outline.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install outline

You can download it from GitHub.
You can use outline 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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