Apropos Julian's changes <https://github.com/numpy/numpy/pull/4177> to use the PyObject_* allocation suite for some parts of numpy, I posted the following I think numpy memory management is due a cleanup. Currently we have PyDataMem_* PyDimMem_* PyArray_* Plus the malloc, PyMem_*, and PyObject_* interfaces. That is six ways to manage heap allocations. As far as I can tell, PyArray_* is always PyMem_*in practice. We probably need to keep the PyDataMem family as it has a memory tracking option, but PyDimMem just confuses things, I'd rather just use PyMem_* with explicit size. Curiously, the PyObject_Malloc family is not documented apart from some release notes. We should also check for the macro versions of PyMem_* as they are deprecated for extension modules. Nathaniel then suggested that we consider going all Python allocators, especially as new memory tracing tools are coming online in 3.4. Given that these changes could have some impact on current extension writers I thought I'd bring this up on the list to gather opinions. Thoughts?