From https://gist.github.com/thehesiod/2f56f98370bea45f021d3704b21707a9 with some modifications

memory_tracer.py

import tracemalloc
import os
import linecache
import logging
import time
import concurrent
import re
import gc
from typing import List
from io import StringIO
import wrapt
import psutil

_TRACE_FILTERS = (
    tracemalloc.Filter(False, "<frozen importlib._bootstrap>"),
    tracemalloc.Filter(False, tracemalloc.__file__, all_frames=True),  # needed because tracemalloc calls fnmatch
    tracemalloc.Filter(False, linecache.__file__),
    tracemalloc.Filter(False, os.path.abspath(__file__), all_frames=True),  # since we call weakref
)



class MemTracer:
    def __init__(self, logger: logging.Logger, period_s: float, file_path: str=None, incremental: bool=True):
        """
        Will create an instance of Memory Tracer that dumps out results each `period_s`, first period is ignored to warm-up the tracer
        :param period_s:
        :param file_path: file path to log results to
        :param incremental: set to True to be incremental snapshots
        """
        self._logger = logger
        self._trace_start = None
        self._last_snapshot = None
        self._period_s = period_s
        self._file_path = file_path
        self._incremental = incremental
        self._num_periods = 0
        self._num_ticks = 0

        if file_path and os.path.exists(file_path):
            os.unlink(file_path)

        # gc.set_debug(gc.DEBUG_LEAK)
        self.patch_thread_pool_executor()

    @classmethod
    def patch_thread_pool_executor(cls):
        if concurrent.futures.ThreadPoolExecutor._adjust_thread_count != cls._adjust_thread_count:
            wrapt.wrap_function_wrapper('concurrent.futures', 'ThreadPoolExecutor._adjust_thread_count', cls._adjust_thread_count)

    @classmethod
    def _adjust_thread_count(cls, wrapped, instance, args, kwargs):
        num_threads = len(instance._threads)
        while num_threads < instance._max_workers:
            wrapped(*args, **kwargs)
            num_threads = len(instance._threads)

    @classmethod
    def patch_and_tick(cls, obj, *args, **kwargs):
        """
        Will add an instance of MemTracer to "obj" as a private property if it doesn't exist and call tick
        :param obj: object to patch onto
        :param args: init args to MemTracer
        :param kwargs: init args to MemTracer
        """
        tracer = getattr(obj, '_tracer', None)
        if not tracer:
            tracer = obj._tracer = cls(*args, **kwargs)

        tracer.tick()

    def start(self):
        if not tracemalloc.is_tracing():
            tracemalloc.start(40)
        self._trace_start = time.time()

    def capture(self, store: bool=True):
        # to avoid this popping up in the traces
        re._cache.clear()

        gc.collect()

        if self._trace_start is None:
            self.start()

        snapshot = tracemalloc.take_snapshot()
        snapshot = snapshot.filter_traces(_TRACE_FILTERS)

        if store:
            self._last_snapshot = snapshot

        return snapshot

    def tick(self):
        self._num_ticks += 1

        if self._trace_start is None:
            self.start()
            return

        elapsed_s = time.time() - self._trace_start
        if elapsed_s > self._period_s:
            self._num_periods += 1

            try:
                self.dump_snapshop(elapsed_s)
                # objgraph.show_most_common_types(limit=50)
            finally:
                self._trace_start = time.time()  # want to set this at the end so we get the correct period after this dump

    def get_max_rss(self):
        return psutil.virtual_memory().total

    def dump_snapshop(self, elapsed_s=-1):
        if self._last_snapshot is None:
            self.capture()
            return

        snapshot = self.capture(False)

        top_stats: List[tracemalloc.StatisticDiff] = snapshot.compare_to(self._last_snapshot, 'traceback')

        total_acquired = 0
        total_released = 0
        max_stats = min(len(top_stats), 40)

        stream = StringIO()
        stream.write('===============================' + os.linesep)
        stream.write(f"[Top {max_stats}/{len(top_stats)} differences elapsed: {round(elapsed_s)}] in periods: {self._num_periods} and ticks: {self._num_ticks} max RSS: {self.get_max_rss()} MB" + os.linesep)

        num_printed = 0

        for stat in sorted(top_stats, key=lambda x: x.size_diff, reverse=True):
            if stat.size_diff <= 0:
                total_released += -stat.size_diff
            else:
                total_acquired += stat.size_diff

            if num_printed < max_stats and stat.size_diff > 0:
                stream.write(f"{stat.count_diff} memory blocks: {stat.size_diff / 1024} KB" + os.linesep)
                for line in stat.traceback.format():
                    stream.write('\t' + str(line) + os.linesep)
                num_printed += 1

        stream.write(f"total KB acquired: {total_acquired / 1024} released: {total_released / 1024}" + os.linesep)
        stream.write('===============================' + os.linesep)
        # stream.write(mem_top(25, 300))

        if self._file_path:
            with open(self._file_path, 'w+') as f:
                f.write(stream.getvalue())
        else:
            print(stream.getvalue())

        if self._incremental:
            self._last_snapshot = snapshot