gitlabber | Gitlabber - clones or pulls entire groups tree from gitlab | Continuous Backup library
kandi X-RAY | gitlabber Summary
kandi X-RAY | gitlabber Summary
gitlabber is a Python library typically used in Backup Recovery, Continuous Backup applications. gitlabber has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install gitlabber' or download it from GitHub, PyPI.
Gitlabber - clones or pulls entire groups tree from gitlab
Gitlabber - clones or pulls entire groups tree from gitlab
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Quality
Security
License
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Support
gitlabber has a low active ecosystem.
It has 412 star(s) with 70 fork(s). There are 6 watchers for this library.
It had no major release in the last 12 months.
There are 20 open issues and 52 have been closed. On average issues are closed in 82 days. There are 7 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of gitlabber is 1.1.9
Quality
gitlabber has 0 bugs and 0 code smells.
Security
gitlabber has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
gitlabber code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
gitlabber 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
gitlabber releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
It has 1152 lines of code, 125 functions and 24 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed gitlabber and discovered the below as its top functions. This is intended to give you an instant insight into gitlabber implemented functionality, and help decide if they suit your requirements.
- Load project tree
- Recursively walk through the tree
- Check if given node is included in include path
- Check if a node is excluded
- Sync the project tree to the given destination
- Recursively recursively all git actions in the given root directory
- Sync a git branch to the given directory
- Clone or pull a project
- Show the progress bar
- Return True if path is a git repo
- Parse command line arguments
- Parse a string
- Configure logging
- Print the tree
Get all kandi verified functions for this library.
gitlabber Key Features
No Key Features are available at this moment for gitlabber.
gitlabber Examples and Code Snippets
Copy
python setup.py install
pip install -e .
Community Discussions
Trending Discussions on gitlabber
QUESTION
How to run a python program packaged with distutils from source in PyCharm?
Asked 2022-Feb-02 at 00:11
I cloned a repo that has a python project such as gitlabber that is supposed to be packaged with distutils. If I pick what looks to be the entry point, I just get a module resolution error.
...ANSWER
Answered 2022-Feb-02 at 00:07To install with a setup.py file:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install gitlabber
You can install using 'pip install gitlabber' or download it from GitHub, PyPI.
You can use gitlabber 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.
You can use gitlabber 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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