Cross-platform lib for process and system monitoring in Python

Overview



Home    Install    Documentation    Download    Forum    Blog    Funding    What's new   

Summary

psutil (process and system utilities) is a cross-platform library for retrieving information on running processes and system utilization (CPU, memory, disks, network, sensors) in Python. It is useful mainly for system monitoring, profiling and limiting process resources and management of running processes. It implements many functionalities offered by classic UNIX command line tools such as ps, top, iotop, lsof, netstat, ifconfig, free and others. psutil currently supports the following platforms:

  • Linux
  • Windows
  • macOS
  • FreeBSD, OpenBSD, NetBSD
  • Sun Solaris
  • AIX

Supported Python versions are 2.6, 2.7, 3.4+ and PyPy.

Funding

While psutil is free software and will always be, the project would benefit immensely from some funding. Keeping up with bug reports and maintenance has become hardly sustainable for me alone in terms of time. If you're a company that's making significant use of psutil you can consider becoming a sponsor via GitHub Sponsors, Open Collective or PayPal and have your logo displayed in here and psutil doc.

Sponsors

add your logo

Supporters

add your avatar

Contributing

See contributing guidelines.

Example usages

This represents pretty much the whole psutil API.

CPU

>>> import psutil
>>>
>>> psutil.cpu_times()
scputimes(user=3961.46, nice=169.729, system=2150.659, idle=16900.540, iowait=629.59, irq=0.0, softirq=19.42, steal=0.0, guest=0, nice=0.0)
>>>
>>> for x in range(3):
...     psutil.cpu_percent(interval=1)
...
4.0
5.9
3.8
>>>
>>> for x in range(3):
...     psutil.cpu_percent(interval=1, percpu=True)
...
[4.0, 6.9, 3.7, 9.2]
[7.0, 8.5, 2.4, 2.1]
[1.2, 9.0, 9.9, 7.2]
>>>
>>> for x in range(3):
...     psutil.cpu_times_percent(interval=1, percpu=False)
...
scputimes(user=1.5, nice=0.0, system=0.5, idle=96.5, iowait=1.5, irq=0.0, softirq=0.0, steal=0.0, guest=0.0, guest_nice=0.0)
scputimes(user=1.0, nice=0.0, system=0.0, idle=99.0, iowait=0.0, irq=0.0, softirq=0.0, steal=0.0, guest=0.0, guest_nice=0.0)
scputimes(user=2.0, nice=0.0, system=0.0, idle=98.0, iowait=0.0, irq=0.0, softirq=0.0, steal=0.0, guest=0.0, guest_nice=0.0)
>>>
>>> psutil.cpu_count()
4
>>> psutil.cpu_count(logical=False)
2
>>>
>>> psutil.cpu_stats()
scpustats(ctx_switches=20455687, interrupts=6598984, soft_interrupts=2134212, syscalls=0)
>>>
>>> psutil.cpu_freq()
scpufreq(current=931.42925, min=800.0, max=3500.0)
>>>
>>> psutil.getloadavg()  # also on Windows (emulated)
(3.14, 3.89, 4.67)

Memory

>>> psutil.virtual_memory()
svmem(total=10367352832, available=6472179712, percent=37.6, used=8186245120, free=2181107712, active=4748992512, inactive=2758115328, buffers=790724608, cached=3500347392, shared=787554304)
>>> psutil.swap_memory()
sswap(total=2097147904, used=296128512, free=1801019392, percent=14.1, sin=304193536, sout=677842944)
>>>

Disks

>>> psutil.disk_partitions()
[sdiskpart(device='/dev/sda1', mountpoint='/', fstype='ext4', opts='rw,nosuid', maxfile=255, maxpath=4096),
 sdiskpart(device='/dev/sda2', mountpoint='/home', fstype='ext, opts='rw', maxfile=255, maxpath=4096)]
>>>
>>> psutil.disk_usage('/')
sdiskusage(total=21378641920, used=4809781248, free=15482871808, percent=22.5)
>>>
>>> psutil.disk_io_counters(perdisk=False)
sdiskio(read_count=719566, write_count=1082197, read_bytes=18626220032, write_bytes=24081764352, read_time=5023392, write_time=63199568, read_merged_count=619166, write_merged_count=812396, busy_time=4523412)
>>>

Network

>>> psutil.net_io_counters(pernic=True)
{'eth0': netio(bytes_sent=485291293, bytes_recv=6004858642, packets_sent=3251564, packets_recv=4787798, errin=0, errout=0, dropin=0, dropout=0),
 'lo': netio(bytes_sent=2838627, bytes_recv=2838627, packets_sent=30567, packets_recv=30567, errin=0, errout=0, dropin=0, dropout=0)}
>>>
>>> psutil.net_connections(kind='tcp')
[sconn(fd=115, family=<AddressFamily.AF_INET: 2>, type=<SocketType.SOCK_STREAM: 1>, laddr=addr(ip='10.0.0.1', port=48776), raddr=addr(ip='93.186.135.91', port=80), status='ESTABLISHED', pid=1254),
 sconn(fd=117, family=<AddressFamily.AF_INET: 2>, type=<SocketType.SOCK_STREAM: 1>, laddr=addr(ip='10.0.0.1', port=43761), raddr=addr(ip='72.14.234.100', port=80), status='CLOSING', pid=2987),
 ...]
>>>
>>> psutil.net_if_addrs()
{'lo': [snicaddr(family=<AddressFamily.AF_INET: 2>, address='127.0.0.1', netmask='255.0.0.0', broadcast='127.0.0.1', ptp=None),
        snicaddr(family=<AddressFamily.AF_INET6: 10>, address='::1', netmask='ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff', broadcast=None, ptp=None),
        snicaddr(family=<AddressFamily.AF_LINK: 17>, address='00:00:00:00:00:00', netmask=None, broadcast='00:00:00:00:00:00', ptp=None)],
 'wlan0': [snicaddr(family=<AddressFamily.AF_INET: 2>, address='192.168.1.3', netmask='255.255.255.0', broadcast='192.168.1.255', ptp=None),
           snicaddr(family=<AddressFamily.AF_INET6: 10>, address='fe80::c685:8ff:fe45:641%wlan0', netmask='ffff:ffff:ffff:ffff::', broadcast=None, ptp=None),
           snicaddr(family=<AddressFamily.AF_LINK: 17>, address='c4:85:08:45:06:41', netmask=None, broadcast='ff:ff:ff:ff:ff:ff', ptp=None)]}
>>>
>>> psutil.net_if_stats()
{'lo': snicstats(isup=True, duplex=<NicDuplex.NIC_DUPLEX_UNKNOWN: 0>, speed=0, mtu=65536),
 'wlan0': snicstats(isup=True, duplex=<NicDuplex.NIC_DUPLEX_FULL: 2>, speed=100, mtu=1500)}
>>>

Sensors

>>> import psutil
>>> psutil.sensors_temperatures()
{'acpitz': [shwtemp(label='', current=47.0, high=103.0, critical=103.0)],
 'asus': [shwtemp(label='', current=47.0, high=None, critical=None)],
 'coretemp': [shwtemp(label='Physical id 0', current=52.0, high=100.0, critical=100.0),
              shwtemp(label='Core 0', current=45.0, high=100.0, critical=100.0)]}
>>>
>>> psutil.sensors_fans()
{'asus': [sfan(label='cpu_fan', current=3200)]}
>>>
>>> psutil.sensors_battery()
sbattery(percent=93, secsleft=16628, power_plugged=False)
>>>

Other system info

>>> import psutil
>>> psutil.users()
[suser(name='giampaolo', terminal='pts/2', host='localhost', started=1340737536.0, pid=1352),
 suser(name='giampaolo', terminal='pts/3', host='localhost', started=1340737792.0, pid=1788)]
>>>
>>> psutil.boot_time()
1365519115.0
>>>

Process management

>>> import psutil
>>> psutil.pids()
[1, 2, 3, 4, 5, 6, 7, 46, 48, 50, 51, 178, 182, 222, 223, 224, 268, 1215,
 1216, 1220, 1221, 1243, 1244, 1301, 1601, 2237, 2355, 2637, 2774, 3932,
 4176, 4177, 4185, 4187, 4189, 4225, 4243, 4245, 4263, 4282, 4306, 4311,
 4312, 4313, 4314, 4337, 4339, 4357, 4358, 4363, 4383, 4395, 4408, 4433,
 4443, 4445, 4446, 5167, 5234, 5235, 5252, 5318, 5424, 5644, 6987, 7054,
 7055, 7071]
>>>
>>> p = psutil.Process(7055)
>>> p
psutil.Process(pid=7055, name='python3', status='running', started='09:04:44')
>>> p.name()
'python'
>>> p.exe()
'/usr/bin/python'
>>> p.cwd()
'/home/giampaolo'
>>> p.cmdline()
['/usr/bin/python', 'main.py']
>>>
>>> p.pid
7055
>>> p.ppid()
7054
>>> p.children(recursive=True)
[psutil.Process(pid=29835, name='python3', status='sleeping', started='11:45:38'),
 psutil.Process(pid=29836, name='python3', status='waking', started='11:43:39')]
>>>
>>> p.parent()
psutil.Process(pid=4699, name='bash', status='sleeping', started='09:06:44')
>>> p.parents()
[psutil.Process(pid=4699, name='bash', started='09:06:44'),
 psutil.Process(pid=4689, name='gnome-terminal-server', status='sleeping', started='0:06:44'),
 psutil.Process(pid=1, name='systemd', status='sleeping', started='05:56:55')]
>>>
>>> p.status()
'running'
>>> p.username()
'giampaolo'
>>> p.create_time()
1267551141.5019531
>>> p.terminal()
'/dev/pts/0'
>>>
>>> p.uids()
puids(real=1000, effective=1000, saved=1000)
>>> p.gids()
pgids(real=1000, effective=1000, saved=1000)
>>>
>>> p.cpu_times()
pcputimes(user=1.02, system=0.31, children_user=0.32, children_system=0.1, iowait=0.0)
>>> p.cpu_percent(interval=1.0)
12.1
>>> p.cpu_affinity()
[0, 1, 2, 3]
>>> p.cpu_affinity([0, 1])  # set
>>> p.cpu_num()
1
>>>
>>> p.memory_info()
pmem(rss=10915840, vms=67608576, shared=3313664, text=2310144, lib=0, data=7262208, dirty=0)
>>> p.memory_full_info()  # "real" USS memory usage (Linux, macOS, Win only)
pfullmem(rss=10199040, vms=52133888, shared=3887104, text=2867200, lib=0, data=5967872, dirty=0, uss=6545408, pss=6872064, swap=0)
>>> p.memory_percent()
0.7823
>>> p.memory_maps()
[pmmap_grouped(path='/lib/x8664-linux-gnu/libutil-2.15.so', rss=32768, size=2125824, pss=32768, shared_clean=0, shared_dirty=0, private_clean=20480, private_dirty=12288, referenced=32768, anonymous=12288, swap=0),
 pmmap_grouped(path='/lib/x8664-linux-gnu/libc-2.15.so', rss=3821568, size=3842048, pss=3821568, shared_clean=0, shared_dirty=0, private_clean=0, private_dirty=3821568, referenced=3575808, anonymous=3821568, swap=0),
 pmmap_grouped(path='[heap]',  rss=32768, size=139264, pss=32768, shared_clean=0, shared_dirty=0, private_clean=0, private_dirty=32768, referenced=32768, anonymous=32768, swap=0),
 pmmap_grouped(path='[stack]', rss=2465792, size=2494464, pss=2465792, shared_clean=0, shared_dirty=0, private_clean=0, private_dirty=2465792, referenced=2277376, anonymous=2465792, swap=0),
 ...]
>>>
>>> p.io_counters()
pio(read_count=478001, write_count=59371, read_bytes=700416, write_bytes=69632, read_chars=456232, write_chars=517543)
>>>
>>> p.open_files()
[popenfile(path='/home/giampaolo/monit.py', fd=3, position=0, mode='r', flags=32768),
 popenfile(path='/var/log/monit.log', fd=4, position=235542, mode='a', flags=33793)]
>>>
>>> p.connections(kind='tcp')
[pconn(fd=115, family=<AddressFamily.AF_INET: 2>, type=<SocketType.SOCK_STREAM: 1>, laddr=addr(ip='10.0.0.1', port=48776), raddr=addr(ip='93.186.135.91', port=80), status='ESTABLISHED'),
 pconn(fd=117, family=<AddressFamily.AF_INET: 2>, type=<SocketType.SOCK_STREAM: 1>, laddr=addr(ip='10.0.0.1', port=43761), raddr=addr(ip='72.14.234.100', port=80), status='CLOSING')]
>>>
>>> p.num_threads()
4
>>> p.num_fds()
8
>>> p.threads()
[pthread(id=5234, user_time=22.5, system_time=9.2891),
 pthread(id=5237, user_time=0.0707, system_time=1.1)]
>>>
>>> p.num_ctx_switches()
pctxsw(voluntary=78, involuntary=19)
>>>
>>> p.nice()
0
>>> p.nice(10)  # set
>>>
>>> p.ionice(psutil.IOPRIO_CLASS_IDLE)  # IO priority (Win and Linux only)
>>> p.ionice()
pionice(ioclass=<IOPriority.IOPRIO_CLASS_IDLE: 3>, value=0)
>>>
>>> p.rlimit(psutil.RLIMIT_NOFILE, (5, 5))  # set resource limits (Linux only)
>>> p.rlimit(psutil.RLIMIT_NOFILE)
(5, 5)
>>>
>>> p.environ()
{'LC_PAPER': 'it_IT.UTF-8', 'SHELL': '/bin/bash', 'GREP_OPTIONS': '--color=auto',
'XDG_CONFIG_DIRS': '/etc/xdg/xdg-ubuntu:/usr/share/upstart/xdg:/etc/xdg',
 ...}
>>>
>>> p.as_dict()
{'status': 'running', 'num_ctx_switches': pctxsw(voluntary=63, involuntary=1), 'pid': 5457, ...}
>>> p.is_running()
True
>>> p.suspend()
>>> p.resume()
>>>
>>> p.terminate()
>>> p.kill()
>>> p.wait(timeout=3)
<Exitcode.EX_OK: 0>
>>>
>>> psutil.test()
USER         PID %CPU %MEM     VSZ     RSS TTY        START    TIME  COMMAND
root           1  0.0  0.0   24584    2240            Jun17   00:00  init
root           2  0.0  0.0       0       0            Jun17   00:00  kthreadd
...
giampaolo  31475  0.0  0.0   20760    3024 /dev/pts/0 Jun19   00:00  python2.4
giampaolo  31721  0.0  2.2  773060  181896            00:04   10:30  chrome
root       31763  0.0  0.0       0       0            00:05   00:00  kworker/0:1
>>>

Further process APIs

>>> import psutil
>>> for proc in psutil.process_iter(['pid', 'name']):
...     print(proc.info)
...
{'pid': 1, 'name': 'systemd'}
{'pid': 2, 'name': 'kthreadd'}
{'pid': 3, 'name': 'ksoftirqd/0'}
...
>>>
>>> psutil.pid_exists(3)
True
>>>
>>> def on_terminate(proc):
...     print("process {} terminated".format(proc))
...
>>> # waits for multiple processes to terminate
>>> gone, alive = psutil.wait_procs(procs_list, timeout=3, callback=on_terminate)
>>>

Popen wrapper:

>>> import psutil
>>> from subprocess import PIPE
>>> p = psutil.Popen(["/usr/bin/python", "-c", "print('hello')"], stdout=PIPE)
>>> p.name()
'python'
>>> p.username()
'giampaolo'
>>> p.communicate()
('hello\n', None)
>>> p.wait(timeout=2)
0
>>>

Windows services

>>> list(psutil.win_service_iter())
[<WindowsService(name='AeLookupSvc', display_name='Application Experience') at 38850096>,
 <WindowsService(name='ALG', display_name='Application Layer Gateway Service') at 38850128>,
 <WindowsService(name='APNMCP', display_name='Ask Update Service') at 38850160>,
 <WindowsService(name='AppIDSvc', display_name='Application Identity') at 38850192>,
 ...]
>>> s = psutil.win_service_get('alg')
>>> s.as_dict()
{'binpath': 'C:\\Windows\\System32\\alg.exe',
 'description': 'Provides support for 3rd party protocol plug-ins for Internet Connection Sharing',
 'display_name': 'Application Layer Gateway Service',
 'name': 'alg',
 'pid': None,
 'start_type': 'manual',
 'status': 'stopped',
 'username': 'NT AUTHORITY\\LocalService'}

Projects using psutil

Here's some I find particularly interesting:

Portings

Owner
Giampaolo Rodola
Python enthusiast and core developer, author of psutil and pyftpdlib python libs
Giampaolo Rodola
Ingress patch example by Kustomize

Ingress patch example by Kustomize

Jinu 10 Nov 14, 2022
sysctl/sysfs settings on a fly for Kubernetes Cluster. No restarts are required for clusters and nodes.

SysBindings Daemon Little toolkit for control the sysctl/sysfs bindings on Kubernetes Cluster on the fly and without unnecessary restarts of cluster o

Wallarm 19 May 06, 2022
A honey token manager and alert system for AWS.

SpaceSiren SpaceSiren is a honey token manager and alert system for AWS. With this fully serverless application, you can create and manage honey token

287 Nov 09, 2022
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.

Glances - An eye on your system Summary Glances is a cross-platform monitoring tool which aims to present a large amount of monitoring information thr

Nicolas Hennion 22k Jan 08, 2023
A basic instruction for Kubernetes setup and understanding.

A basic instruction for Kubernetes setup and understanding Module ID Module Guide - Install Kubernetes Cluster k8s-install 3 Docker Core Technology mo

648 Jan 02, 2023
Push Container Image To Docker Registry In Python

push-container-image-to-docker-registry 概要 push-container-image-to-docker-registry は、エッジコンピューティング環境において、特定のエッジ端末上の Private Docker Registry に特定のコンテナイメー

Latona, Inc. 3 Nov 04, 2021
Build Netbox as a Docker container

netbox-docker The Github repository houses the components needed to build Netbox as a Docker container. Images are built using this code and are relea

Farshad Nick 1 Dec 18, 2021
This repository contains useful docker-swarm-tools.

docker-swarm-tools This repository contains useful docker-swarm-tools. swarm-guardian This Docker image is intended to be used in a multihost docker e

NeuroForge GmbH & Co. KG 4 Jan 12, 2022
Cado Response Integration with Amazon GuardDuty using AWS Lambda

Cado Response Integration with Amazon GuardDuty using AWS Lambda This repository contains a simple example where: An alert is triggered by GuardDuty T

Cado Security 4 Mar 02, 2022
Python IMDB Docker - A docker tutorial to containerize a python script.

Python_IMDB_Docker A docker tutorial to containerize a python script. Build the docker in the current directory: docker build -t python-imdb . Run the

Sarthak Babbar 1 Dec 30, 2021
A collection of beginner-friendly DevOps content

mansion Mansion is just a testing repo for learners to commit into open source project. These are the steps you need to learn: Please do not edit thes

Bryan Lim 62 Nov 30, 2022
Automate SSH in python easily!

RedExpect RedExpect makes automating remote machines over SSH very easy to do and is very fast in doing exactly what you ask of it. Based on ssh2-pyth

Red_M 19 Dec 17, 2022
Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here:

Latest Salt Documentation Open an issue (bug report, feature request, etc.) Salt is the world’s fastest, most intelligent and scalable automation engi

SaltStack 12.9k Jan 04, 2023
MicroK8s is a small, fast, single-package Kubernetes for developers, IoT and edge.

MicroK8s The smallest, fastest Kubernetes Single-package fully conformant lightweight Kubernetes that works on 42 flavours of Linux. Perfect for: Deve

Ubuntu 7.1k Jan 08, 2023
Oncall is a calendar tool designed for scheduling and managing on-call shifts. It can be used as source of dynamic ownership info for paging systems like http://iris.claims.

Oncall See admin docs for information on how to run and manage Oncall. Development setup Prerequisites Debian/Ubuntu - sudo apt-get install libsasl2-d

LinkedIn 928 Dec 22, 2022
Jenkins-AWS-CICD - Implement Jenkins CI/CD with AWS CodeBuild and AWS CodeDeploy, build a python flask web application.

Jenkins-AWS-CICD - Implement Jenkins CI/CD with AWS CodeBuild and AWS CodeDeploy, build a python flask web application.

Ning 1 Jan 01, 2022
Caboto, the Kubernetes semantic analysis tool

Caboto Caboto, the Kubernetes semantic analysis toolkit. It contains a lightweight Python library for semantic analysis of plain Kubernetes manifests

Michael Schilonka 8 Nov 26, 2022
Chef-like functionality for Fabric

/ / ___ ___ ___ ___ | | )| |___ | | )|___) |__ |__/ | __/ | | / |__ -- Chef-like functionality for Fabric About Fabric i

Sébastien Pierre 1.3k Dec 21, 2022
A charmed operator for running PGbouncer on kubernetes.

operator-template Description TODO: Describe your charm in a few paragraphs of Markdown Usage TODO: Provide high-level usage, such as required config

Canonical 1 Dec 01, 2022
a CLI that provides a generic automation layer for assessing the security of ML models

Counterfit About | Getting Started | Learn More | Acknowledgments | Contributing | Trademarks | Contact Us -------------------------------------------

Microsoft Azure 575 Jan 02, 2023