django_bundles | * DEPRECATED * Another Django media bundler

by sdcooke Python Version: Current License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions Vulnerabilities Install Support

kandi X-RAY | django_bundles Summary

django_bundles is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. django_bundles 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 django_bundles' or download it from GitHub, PyPI.

django_bundles is a media bundler for Django. It can be used to bundle groups of media files (e.g. CSS, JavaScript) into a single file with a hash in the filename (to play nicely with browser caching) whilst keeping the files separate during development. There are ideas taken from a lot of the other media bundlers - none of them worked quite how I wanted and I fancied writing my own. I think Django 1.4 is required, but possibly only because of the assignment tag decorator used. IMPORTANT NOTE: 0.3.0 is not backwards compatible with 0.2.5.

Support

Quality

Security

License

Reuse

Support

django_bundles has a low active ecosystem.

It has 6 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

django_bundles has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of django_bundles is current.

Quality

django_bundles has no bugs reported.

Security

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

License

django_bundles 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

django_bundles 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.

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

Top functions reviewed by kandi - BETA

kandi has reviewed django_bundles and discovered the below as its top functions. This is intended to give you an instant insight into django_bundles implemented functionality, and help decide if they suit your requirements.

Process files
Get the bundle version
Create a pipeline from processors
Returns a list of bundles
Returns the default preprocessors for the given file type
Get a class from a dotted path
Get a processor instance
Process an iterable
Returns the file urls
List all available bundles
Returns the default postprocessing processors for the given bundle type

Get all kandi verified functions for this library.

django_bundles Key Features

No Key Features are available at this moment for django_bundles.

django_bundles Examples and Code Snippets

django_bundles: Another Django media bundler,Usage

Python

Lines of Code : 25

License : Permissive (MIT)

Copy

BUNDLES = (
    ('master_css', {
        'type': 'css',
        'files': (
            'css/*.css',
            'css/more/test3.css',
            'less/test.less',
        ),
    }),
    ('master_js', {
        'type': 'js',
        'files': (

django_bundles: Another Django media bundler,Linting

Python

Lines of Code : 6

License : Permissive (MIT)

Copy

BUNDLES_LINTING = {
    'js': {
        'command': '/path/to/jslint/bin/jslint.js {infile}',
        'default': True,
    },
}

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install django_bundles

You can install using 'pip install django_bundles' or download it from GitHub, PyPI.
You can use django_bundles 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 .

Find more information at: