libsass-python | Compile Sass | Style Language library
kandi X-RAY | libsass-python Summary
kandi X-RAY | libsass-python Summary
libsass-python is a Python library typically used in User Interface, Style Language applications. libsass-python 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.
A straightforward binding of libsass for Python. Compile Sass/SCSS in Python with no Ruby stack at all!
A straightforward binding of libsass for Python. Compile Sass/SCSS in Python with no Ruby stack at all!
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Quality
Security
License
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Support
libsass-python has a low active ecosystem.
It has 545 star(s) with 52 fork(s). There are 19 watchers for this library.
It had no major release in the last 12 months.
There are 10 open issues and 149 have been closed. On average issues are closed in 83 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of libsass-python is 0.22.0
Quality
libsass-python has 0 bugs and 0 code smells.
Security
libsass-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
libsass-python code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
libsass-python 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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libsass-python releases are available to install and integrate.
Build file is available. You can build the component from source.
libsass-python saves you 1235 person hours of effort in developing the same functionality from scratch.
It has 2779 lines of code, 219 functions and 23 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed libsass-python and discovered the below as its top functions. This is intended to give you an instant insight into libsass-python implemented functionality, and help decide if they suit your requirements.
- Compile output
- Compile a directory
- Create a function from a lambda function
- Normalize importer return value
- Join a list of strings
- Wrap import callback function
- Validate the importers
- Create a function from a named function
- Check that the kwargs are in the given list of kwargs
- Create a directory
- Builds sass files
- Builds a directory of Sass files
- Normalize manifest definitions
- Returns the directory of a package
- Builds Sass files
- Validate a manifest value
- Return the Sass version number
- Return the README rst file
Get all kandi verified functions for this library.
libsass-python Key Features
No Key Features are available at this moment for libsass-python.
libsass-python Examples and Code Snippets
No Code Snippets are available at this moment for libsass-python.
Community Discussions
Trending Discussions on libsass-python
QUESTION
Cannot set output_style for libsass using python to compile SASS on each deploy
Asked 2021-Jan-29 at 17:28
Here is a documentation on how to compile SASS to CSS via python including the possibility to set output_style='compressed'
:
https://sass.github.io/libsass-python/
ANSWER
Answered 2021-Jan-29 at 17:28Found a solution
change the setup.cfg
as follows:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install libsass-python
You can download it from GitHub.
You can use libsass-python 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 libsass-python 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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