C's free() gives memory back to the operating system(1), whereas, as a performance optimization, many GCd languages don't give memory back after they run a garbage collection (see https://stackoverflow.com/questions/324499/java-still-uses-s...). Every Python program is using a "custom allocator," only it is built in to the Python runtime. You may argue that this is a dishonest use of the term custom allocator, but custom is difficult to define (It could be defined as any allocator used in only one project, but that definition has multiple problems). The way I see it, there are allocators that free to the OS and those that don't or usually don't (hereafter referred to as custom). In C, a custom allocator conceivably could be built into, say, a game engine. You might call ge_free(ptr) which would signal to the custom allocator that chunk of memory is available and ge_malloc() would use the first biggest chunk of internally allocated memory, calling normal malloc() if necessary. Custom allocators in C are a bit more than just semantics, and affect performance (for allocation-heavy code). Furthermore, they are distinct from GC, as they can work with allocate/free semantics, rather than allocate/forget (standard GC) semantics. Yes, one could technically change any GCd language to use a custom allocator written by one's self. But Python can't use allocate/free semantics (so don't expect any speedup). Python code never attempts manual memory management, (i.e. 3rd party functions allocate on the heap all the time without calling free()) because that is how Python is supposed to work. To use manual memory management semantics in Python, you would need to rewrite every Python method with a string or any user defined type in it to properly free.

(1) malloc implementations generally allocate a page at a time and give the page back to the OS when all objects in the page are gone. ptr = malloc(1); malloc(1); free(ptr); doesn't give the single allocated page back to the OS.