Showing 4 open source projects for "dependency core"

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  • 1
    NoneBot

    NoneBot

    Asynchronous multi-platform robot framework written in Python

    ...Plug-in development, modular management. Supports multiple platforms and multiple incident response methods. Asynchronous priority development to improve operational efficiency. Simple and clear dependency injection system, built-in dependency functions reduce user code. NoneBot2 is a modern, cross-platform, and extensible Python chatbot framework. It is based on Python's type annotations and asynchronous features, and can provide convenient and flexible support for your needs. NoneBot2 is written based on Python asyncio , and has a certain degree of synchronous function compatibility based on the asynchronous mechanism. ...
    Downloads: 2 This Week
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  • 2
    BlackSheep

    BlackSheep

    Fast ASGI web framework for Python

    BlackSheep is an asynchronous web framework to build event-based web applications with Python. A rich code API, based on dependency injection and inspired by Flask and ASP.NET Core. A typing-friendly codebase, which enables a comfortable development experience thanks to hints when coding with IDEs. Built-in generation of OpenAPI Documentation, supporting version 3, YAML, and JSON. A cross-platform framework, using the most modern versions of Python. BlackSheep supports automatic binding of values for request handlers, by type annotation or by conventions.
    Downloads: 3 This Week
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  • 3
    GQL

    GQL

    A GraphQL client in Python

    ...GQL supports multiple transports to communicate with the backend. Each transport can necessitate specific dependencies. If you only need one transport you might want to install only the dependency needed for your transport, instead of using the “all” extra dependency as described above, which installs everything.
    Downloads: 0 This Week
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  • 4
    PythonRobotics

    PythonRobotics

    Python sample codes and textbook for robotics algorithms

    PythonRobotics is a Python code collection and textbook for learning robotics algorithms through readable examples. It covers practical topics such as localization, mapping, path planning, path tracking, control, SLAM, and autonomous navigation. The project is written to make each algorithm’s core idea easy to understand, rather than hiding the logic behind large frameworks. It keeps dependencies minimal so learners can focus on the math, implementation, and behavior of each robotics method....
    Downloads: 0 This Week
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