Skip to main content

Simple Memory Monitor that helps to decide if it is time to dump data to disk.

Project description

Very simple memory monitor that records the percent of memory used. This can be useful if you want to dump data to disk if memory consumptions becomes too high.

Description and Usage

The MemoryMonitor class takes an interval and a memory_limit in percent.

To start recording memory usage:

from memon import MemoryMonitor
import time
memmon = MemoryMonitor(interval=0.1)
assert len(memmon.history) == 10

If historical data is recorded this can be used to query if memory usage will keep under the memory limit. This is done by calling:


This function makes some assumptions:

  • The Python process is the main memory user on the system.
  • Any big fluctuations in memory usage are because of memory allocation/deallocation of the process running the memon.
  • We want to fit the average fluctuation that occurs during processing under the memory limit.

Because of these assumptions the memory_available() function calculates:

delta = max(history) - min(history)
level = mean(history) + delta
level < memory_limit


This project has been set up using PyScaffold 2.5.7. For details and usage information on PyScaffold see

Project details

Release history Release notifications

This version
History Node


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
memon-0.1-py2.py3-none-any.whl (5.4 kB) Copy SHA256 hash SHA256 Wheel py2.py3
memon-0.1.tar.gz (12.6 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page