prefsniff | A utility to sniff preferences changes to macOS plist files
kandi X-RAY | prefsniff Summary
kandi X-RAY | prefsniff Summary
prefsniff is a Python library typically used in macOS applications. prefsniff 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 prefsniff' or download it from GitHub, PyPI.
Author: Zachary Cutlip, uid000 at gmail. prefsniff is a utility to watch macOS plist files for changes, and then autogenerate the defaults command to apply those changes. Its intended use is to have prefsniff watch a plist file while setting a system or application preference. The resulting defaults command can then be added to a shell script or incorporated into a configuration management system such as Ansible.
Author: Zachary Cutlip, uid000 at gmail. prefsniff is a utility to watch macOS plist files for changes, and then autogenerate the defaults command to apply those changes. Its intended use is to have prefsniff watch a plist file while setting a system or application preference. The resulting defaults command can then be added to a shell script or incorporated into a configuration management system such as Ansible.
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Quality
Security
License
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Support
prefsniff has a low active ecosystem.
It has 197 star(s) with 4 fork(s). There are 4 watchers for this library.
There were 2 major release(s) in the last 12 months.
There are 0 open issues and 2 have been closed. On average issues are closed in 623 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of prefsniff is 0.3.1
Quality
prefsniff has 0 bugs and 0 code smells.
Security
prefsniff has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
prefsniff code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
prefsniff is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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prefsniff releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed prefsniff and discovered the below as its top functions. This is intended to give you an instant insight into prefsniff implemented functionality, and help decide if they suit your requirements.
- Generate a list of changes
- Compares two lists
- Compares two dicts
- Return the change type for the given cls
- Search for a change type
- Return shell command
- Return the value argument list
- Return the argument list
- Quote a value
- Parse test arguments
- Testwrite_dict
- Test for a key - value pair
- Takes a domain key
- Return the domain for a given path
- Determine if the given path is a namespace path
- Determine if a path is a standard path
- Generate Xmlfrag
- Convert a plist to a string
- Parse command line arguments
- Create a PSChangeType object from a dictionary
Get all kandi verified functions for this library.
prefsniff Key Features
No Key Features are available at this moment for prefsniff.
prefsniff Examples and Code Snippets
No Code Snippets are available at this moment for prefsniff.
Community Discussions
No Community Discussions are available at this moment for prefsniff.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install prefsniff
You can install using 'pip install prefsniff' or download it from GitHub, PyPI.
You can use prefsniff 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 prefsniff 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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