3 projects for "call flow" with 2 filters applied:

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  • 1
    Barfi

    Barfi

    A Python visual Flow Based Programming library

    ...This function can access/get data from the Input interface, perform computations or calculations, and set the Output interface. In general, Barfi is an abstraction of Graphical Programming, Flow-Based Programming, or Node programming. Where the Block is synonymous to a Node, and a Link (connection) is synonymous with an Edge. There are many ways to call this, each serving a specific need or a philosophy.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Fetch JSONP

    Fetch JSONP

    Make JSONP request like window.fetch

    Fetch JSONP is a small JavaScript library that provides a Fetch-like API for JSONP requests. Standard Fetch does not support JSONP, so this package fills that specific compatibility gap. Developers can call fetchJsonp, receive a promise, and parse the response with a familiar .json() flow. The library supports custom callback parameter names, custom callback function names, and request timeouts. It also documents the difference between regular JSON APIs and JSONP endpoints, which helps avoid common syntax errors. fetch-jsonp is useful for legacy APIs, older cross-domain integrations, and browser applications that still need JSONP behavior.
    Downloads: 1 This Week
    Last Update:
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  • 3

    Autologging

    Easier logging and tracing of Python functions and class methods.

    Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing. Autologging provides two decorators and a custom log level: "autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName"). "autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default) "autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported
    Downloads: 0 This Week
    Last Update:
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