What are the differences between calling a function with ctypes and pyObjc?

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ctypes and pyObjc are both Python libraries that provide a way to call functions in native libraries. However, they differ in the following ways:

1. Library Support: ctypes can call functions from most native libraries on Windows, macOS, and Linux. On the other hand, pyObjc is specific to macOS and iOS and can only call functions from Objective-C frameworks.

2. Syntax: The syntax for calling a function is different between the two libraries. With ctypes, you define a function prototype and then call it with the appropriate arguments. PyObjc, on the other hand, requires you to create an instance of the Objective-C class, call the method, and pass the arguments.

3. Type Conversion: ctypes requires you to explicitly convert variables between Python and C types. PyObjc, on the other hand, does this automatically for you, making it easier to work with.

4. Integration with Python: PyObjc provides more integration with Python objects, allowing you to use Python objects as arguments and return values. With ctypes, you have to use C types for arguments and return values.

5. Performance: Ctypes is generally faster than pyObjc since it doesn't require the same level of overhead to interface with native libraries. However, the difference in performance may not be noticeable in small-scale applications.