auto_push | 监听文件修改，自动同步本地到远程仓库的脚本。

by charlie-captain Python Version: Current License: Apache-2.0

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

kandi X-RAY | auto_push Summary

auto_push is a Python library. auto_push 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.

监听文件修改，自动同步本地到远程仓库的脚本。

Support

Quality

Security

License

Reuse

Support

auto_push has a low active ecosystem.

It has 5 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of auto_push is current.

Quality

auto_push has no bugs reported.

Security

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

License

auto_push is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

auto_push 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.

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

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auto_push Key Features

No Key Features are available at this moment for auto_push.

auto_push Examples and Code Snippets

No Code Snippets are available at this moment for auto_push.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install auto_push

You can download it from GitHub.
You can use auto_push 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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