Which Python memory profiler is recommended?

Question

I want to know the memory usage of my Python application and specifically want to know what code blocks/portions or objects are consuming most memory. Google search shows a commercial one is Python Memory Validator (Windows only). And open source ones are PySizer and Heapy. I haven't tried anyone, so I wanted to know which one is the best considering: Gives most details. I have to do least or no changes to my code.

Accepted Answer

guppy3 is quite simple to use. At some point in your code, you have to write the following:

```
from guppy import hpy
h = hpy()
print(h.heap())
```

This gives you some output like this:

```
Partition of a set of 132527 objects. Total size = 8301532 bytes.
Index  Count   %     Size   % Cumulative  % Kind (class / dict of class)
0  35144  27  2140412  26   2140412  26 str
1  38397  29  1309020  16   3449432  42 tuple
2    530   0   739856   9   4189288  50 dict (no owner)
```

You can also find out from where objects are referenced and get statistics about that, but somehow the docs on that are a bit sparse.

There is a graphical browser as well, written in Tk.

For Python 2.x, use Heapy.

Which Python memory profiler is recommended?

Solution

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