Showing 4 open source projects for "python code"

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  • 1
    Powerline Go

    Powerline Go

    A beautiful and useful low-latency prompt for your shell

    A Powerline-like prompt for Bash, ZSH, and Fish. All of the version control systems supported by powerline shell give you a quick look into the state of your repo. The current branch is displayed and changes background color when the branch is dirty. When the local branch differs from the remote, the difference in number of commits is shown along with ⇡ or ⇣ indicating whether a git push or pull is pending. powerline-go uses ANSI color codes, these should nowadays work everywhere, but you...
    Downloads: 4 This Week
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  • 2
    Cheval is a platform independent GUI shell for Python written with PyGTK. Featuring tabbed sessions, Syntax highlighting, code completion, call tips, history, auto-indentation, load and save sessions and much more
    Downloads: 0 This Week
    Last Update:
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  • 3
    libmsgque

    libmsgque

    something that writes code for you

    The **libmsgque** project is an infrastructure that allows multiple package-items to be linked together to act as one application. To link, you need to distribute the work from one package-item to another package-item and wait for an answer or not. > Philosophy: Write Once → Run Everywhere The package-item can be a thread, a separate local process that is started by fork or spawn, or even a network of multiple services on multiple hosts. The package-item can be written in any...
    Downloads: 0 This Week
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  • 4
    A Python Shell has been constructed from Qt, QScintilla and the Python C API directly, which features syntax highlighting and simple code completion via a Qt GUI. It is hoped that a Qt Widget can be constructed from it eventually.
    Downloads: 0 This Week
    Last Update:
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  • Deliver trusted data with dbt Icon
    Deliver trusted data with dbt

    dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.

    Data teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
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