diff --git a/melusine/__init__.py b/melusine/__init__.py
index 81eed12..e33be5c 100644
--- a/melusine/__init__.py
+++ b/melusine/__init__.py
@@ -3,10 +3,6 @@
 """
 
 import logging
-from ctypes import CDLL, cdll
-from typing import Any, Optional
-
-import pandas as pd
 
 from melusine._config import config
 
@@ -19,36 +15,3 @@
 #             LOGGING
 # ------------------------------- #
 logging.getLogger(__name__).addHandler(logging.NullHandler())
-
-
-# ------------------------------- #
-#           MONKEY PATCH
-# ------------------------------- #
-
-# Monkey patch for pandas DataFrame memory leaking on linux OS (pandas issue #2659)
-try:
-    # Try executing linux malloc_trim function (release free memory)
-    cdll.LoadLibrary("libc.so.6")
-    libc: Optional[CDLL] = CDLL("libc.so.6")
-    if libc is not None:
-        libc.malloc_trim(0)
-except (OSError, AttributeError):  # pragma: no cover
-    # Incompatible OS: this monkey patch is not needed
-    libc = None
-
-# Store the standard pandas method
-__std_del: Optional[Any] = getattr(pd.DataFrame, "__del__", None)
-
-
-# Prepare a new __del__ method
-def __fixed_del(self: Any) -> None:  # pragma: no cover
-    """Override DataFrame's __del__ method: call the standard method + release free memory with malloc_trim."""
-    if __std_del is not None:
-        __std_del(self)
-    if libc is not None:
-        libc.malloc_trim(0)
-
-
-# Override standard pandas method if needed
-if libc is not None:
-    pd.DataFrame.__del__ = __fixed_del
diff --git a/melusine/base.py b/melusine/base.py
index a0f72c1..18eb785 100644
--- a/melusine/base.py
+++ b/melusine/base.py
@@ -236,7 +236,7 @@ def transform(self, df: MelusineDataset) -> MelusineDataset:
             return_cols.append(self.debug_dict_col)
 
         for method in self.transform_methods:
-            logger.debug(f"Running transform for {type(self).__name__} ({method.__name__})")
+            logger.debug("Running transform for %s (%s)", type(self).__name__, getattr(method, "__name__", "unnamed"))
             first_arg_name: str = list(inspect.signature(method).parameters)[0]
 
             if first_arg_name == "row":