Showing 5 open source projects for "package installer linux"

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  • 1
    django-webpack-loader

    django-webpack-loader

    Transparently use webpack with django

    Use webpack to generate your static bundles without django's static files or opaque wrappers. Django webpack loader consumes the output generated by webpack-bundle-tracker and lets you use the generated bundles in Django. Test cases cover Django>=2.0 on Python>=3.5. 100% code coverage is the target so we can be sure everything works anytime. It should probably work on older versions of Django as well but the package does not ship any test cases for them. Before configuring...
    Downloads: 9 This Week
    Last Update:
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  • 2
    NetworkX

    NetworkX

    Network analysis in Python

    NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Data structures for graphs, digraphs, and multigraphs. Many standard graph algorithms. Network structure and analysis measures. Generators for classic graphs, random graphs, and synthetic networks. Nodes can be "anything" (e.g., text, images, XML records). Edges can hold arbitrary data (e.g., weights, time-series). Open source 3-clause BSD license. Well tested...
    Downloads: 4 This Week
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  • 3
    CFONTS

    CFONTS

    Sexy fonts for the console

    This is a silly little command line tool for sexy ANSI fonts in the console. Give your cli some love. cfonts detects what colors are supported on your platform. It sets a level of support automatically. In cfonts you can override this by passing in the FORCE_COLOR environment variable. All settings are optional and shown here with their default. You can use cfonts in your project without the direct output to the console. The package comes with a bunch of unit tests that aim to cover 100% of...
    Downloads: 1 This Week
    Last Update:
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  • 4
    Go Recipes

    Go Recipes

    Collection of handy tools for Go projects

    Visualize the distribution of code coverage in your project. This helps to identify code areas with high and low coverage. Useful when you have a large project with lots of files and packages. This 2D image-hash of your project should be more representative than a single number. For each module, the node representing the greatest version (i.e., the version chosen by Go's minimal version selection algorithm) is colored green. Other nodes, which aren't in the final build list, are colored grey...
    Downloads: 0 This Week
    Last Update:
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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 5
    Extends Cobertura to measure and report on code covered by unit tests in same package. Also adds improved reporting features, including measuring code coverage against a coverage policy.
    Downloads: 0 This Week
    Last Update:
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