colab_git_ssh | Use SSH to access both private and public repositories

by sugatoray Python Version: v0.0.1 License: MIT

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

kandi X-RAY | colab_git_ssh Summary

colab_git_ssh is a Python library. colab_git_ssh 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.

Use SSH to access both private and public repositories at Git cloud services (GitHub, GitLab, BitBucket, etc.).

Support

Quality

Security

License

Reuse

Support

colab_git_ssh 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 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of colab_git_ssh is v0.0.1

Quality

colab_git_ssh has no bugs reported.

Security

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

License

colab_git_ssh 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

colab_git_ssh releases are available to install and integrate.

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

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colab_git_ssh Key Features

No Key Features are available at this moment for colab_git_ssh.

colab_git_ssh Examples and Code Snippets

No Code Snippets are available at this moment for colab_git_ssh.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install colab_git_ssh

You can download it from GitHub.
You can use colab_git_ssh 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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