If one do not care about memory footprint then dict, namedtuple, dataclass or just a class with __slots__ are good choices.
But if one have to create millions of objects with a few simple attributes in the context of limited memory then there is a solution based on recordclass library:
from recordclass import make_dataclass
C = make_dataclass("C", ('a', 'b', 'c'))
c = C(1, 2, 3)
Same with a class definition:
from recordclass import dataobject
class C(dataobject):
a:int
b:int
c:int
c = C(1, 2, 3)
It has minimal memory footprint = sizeof(PyObject_HEAD) + 3*sizeof(PyObject*) bytes.
For comparison __slots__-based variant require sizeof(PyGC_Head) + sizeof(PyObject_HEAD) + 3*sizeof(PyObject*) bytes.
Since 0.15 there is an option fast_new for faster instance creation:
C = make_dataclass("C", ('a', 'b', 'c'), fast_new=True)
or
class C(dataobject, fast_new=True):
a:int
b:int
c:int
This option accelerates the instance creation twice.
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