psutil documentation


psutil (python system and process 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, limiting process resources and the management of running processes. It implements many functionalities offered by command line tools such as: ps, top, lsof, netstat, ifconfig, who, df, kill, free, nice, ionice, iostat, iotop, uptime, pidof, tty, taskset, pmap. It currently supports Linux, Windows, OSX, Sun Solaris, FreeBSD, OpenBSD and NetBSD, both 32-bit and 64-bit architectures, with Python versions from 2.6 to 3.6 (users of Python 2.4 and 2.5 may use 2.1.3 version). PyPy is also known to work.

The psutil documentation you’re reading is distributed as a single HTML page.


The easiest way to install psutil is via pip:

pip install psutil

On UNIX this requires a C compiler (e.g. gcc) installed. On Windows pip will automatically retrieve a pre-compiled wheel version from PYPI repository. Alternatively, see more detailed install instructions.




Return a list of current running PIDs. To iterate over all processes and avoid race conditions process_iter() should be preferred.

>>> import psutil
>>> psutil.pids()
[1, 2, 3, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, ..., 32498]
psutil.process_iter(attrs=None, ad_value=None)

Return an iterator yielding a Process class instance for all running processes on the local machine. Every instance is only created once and then cached into an internal table which is updated every time an element is yielded. Cached Process instances are checked for identity so that you’re safe in case a PID has been reused by another process, in which case the cached instance is updated. This is should be preferred over psutil.pids() for iterating over processes. Sorting order in which processes are returned is based on their PID. attrs and ad_value have the same meaning as in Process.as_dict(). If attrs is specified Process.as_dict() is called and the resulting dict is stored as a info attribute which is attached to the returned Process instance. If attrs is an empty list it will retrieve all process info (slow). Example usage:

>>> import psutil
>>> for proc in psutil.process_iter():
...     try:
...         pinfo = proc.as_dict(attrs=['pid', 'name', 'username'])
...     except psutil.NoSuchProcess:
...         pass
...     else:
...         print(pinfo)
{'name': 'systemd', 'pid': 1, 'username': 'root'}
{'name': 'kthreadd', 'pid': 2, 'username': 'root'}
{'name': 'ksoftirqd/0', 'pid': 3, 'username': 'root'}

More compact version using attrs parameter:

>>> import psutil
>>> for proc in psutil.process_iter(attrs=['pid', 'name', 'username']):
...     print(
{'name': 'systemd', 'pid': 1, 'username': 'root'}
{'name': 'kthreadd', 'pid': 2, 'username': 'root'}
{'name': 'ksoftirqd/0', 'pid': 3, 'username': 'root'}

Example of a dict comprehensions to create a {pid: info, ...} data structure:

>>> import psutil
>>> procs = { for p in psutil.process_iter(attrs=['name', 'username'])}
>>> procs
{1: {'name': 'systemd', 'username': 'root'},
 2: {'name': 'kthreadd', 'username': 'root'},
 3: {'name': 'ksoftirqd/0', 'username': 'root'},

Example showing how to filter processes by name:

>>> import psutil
>>> [ for p in psutil.process_iter(attrs=['pid', 'name']) if 'python' in['name']]
[{'name': 'python3', 'pid': 21947},
 {'name': 'python', 'pid': 23835}]

See also process filtering section for more examples.

Changed in version 5.3.0: added “attrs” and “ad_value” parameters.


Check whether the given PID exists in the current process list. This is faster than doing pid in psutil.pids() and should be preferred.

psutil.wait_procs(procs, timeout=None, callback=None)

Convenience function which waits for a list of Process instances to terminate. Return a (gone, alive) tuple indicating which processes are gone and which ones are still alive. The gone ones will have a new returncode attribute indicating process exit status (will be None for processes which are not our children). callback is a function which gets called when one of the processes being waited on is terminated and a Process instance is passed as callback argument). This tunction will return as soon as all processes terminate or when timeout occurs, if specified. Differently from Process.wait() it will not raise TimeoutExpired if timeout occurs. A typical use case may be:

  • send SIGTERM to a list of processes
  • give them some time to terminate
  • send SIGKILL to those ones which are still alive

Example which terminates and waits all the children of this process:

import psutil

def on_terminate(proc):
    print("process {} terminated with exit code {}".format(proc, proc.returncode))

procs = psutil.Process().children()
for p in procs:
gone, alive = psutil.wait_procs(procs, timeout=3, callback=on_terminate)
for p in alive:


class psutil.Error

Base exception class. All other exceptions inherit from this one.

class psutil.NoSuchProcess(pid, name=None, msg=None)

Raised by Process class methods when no process with the given pid is found in the current process list or when a process no longer exists. name is the name the process had before disappearing and gets set only if was previously called.

class psutil.ZombieProcess(pid, name=None, ppid=None, msg=None)

This may be raised by Process class methods when querying a zombie process on UNIX (Windows doesn’t have zombie processes). Depending on the method called the OS may be able to succeed in retrieving the process information or not. Note: this is a subclass of NoSuchProcess so if you’re not interested in retrieving zombies (e.g. when using process_iter()) you can ignore this exception and just catch NoSuchProcess.

New in version 3.0.0.

class psutil.AccessDenied(pid=None, name=None, msg=None)

Raised by Process class methods when permission to perform an action is denied. “name” is the name of the process (may be None).

class psutil.TimeoutExpired(seconds, pid=None, name=None, msg=None)

Raised by Process.wait() if timeout expires and process is still alive.

Process class

class psutil.Process(pid=None)

Represents an OS process with the given pid. If pid is omitted current process pid (os.getpid()) is used. Raise NoSuchProcess if pid does not exist. On Linux pid can also refer to a thread ID (the id field returned by threads() method). When accessing methods of this class always be prepared to catch NoSuchProcess, ZombieProcess and AccessDenied exceptions. hash() builtin can be used against instances of this class in order to identify a process univocally over time (the hash is determined by mixing process PID and creation time). As such it can also be used with set()s.


In order to efficiently fetch more than one information about the process at the same time, make sure to use either as_dict() or oneshot() context manager.


the way this class is bound to a process is via its PID. That means that if the Process instance is old enough and the PID has been reused in the meantime you might end up interacting with another process. The only exceptions for which process identity is preemptively checked (via PID + creation time) and guaranteed are for nice() (set), ionice() (set), cpu_affinity() (set), rlimit() (set), children(), parent(), suspend() resume(), send_signal(), terminate(), and kill() methods. To prevent this problem for all other methods you can use is_running() before querying the process or use process_iter() in case you’re iterating over all processes.


Utility context manager which considerably speeds up the retrieval of multiple process information at the same time. Internally different process info (e.g. name(), ppid(), uids(), create_time(), ...) may be fetched by using the same routine, but only one value is returned and the others are discarded. When using this context manager the internal routine is executed once (in the example below on name()) the value of interest is returned and the others are cached. The subsequent calls sharing the same internal routine will return the cached value. The cache is cleared when exiting the context manager block. The advice is to use this every time you retrieve more than one information about the process. If you’re lucky, you’ll get a hell of a speedup. Example:

>>> import psutil
>>> p = psutil.Process()
>>> with p.oneshot():
...  # execute internal routine once collecting multiple info
...     p.cpu_times()  # return cached value
...     p.cpu_percent()  # return cached value
...     p.create_time()  # return cached value
...     p.ppid()  # return cached value
...     p.status()  # return cached value

Here’s a list of methods which can take advantage of the speedup depending on what platform you’re on. In the table below horizontal emtpy rows indicate what process methods can be efficiently grouped together internally. The last column (speedup) shows an approximation of the speedup you can get if you call all the methods together (best case scenario).

Linux Windows OSX BSD SunOS
cpu_num() cpu_percent() cpu_percent() cpu_num() name()
cpu_percent() cpu_times() cpu_times() cpu_percent() cmdline()
cpu_times() io_counters() memory_info() cpu_times() create_time()
create_time() ionice() memory_percent() create_time()  
name() memory_info() num_ctx_switches() gids() memory_info()
ppid() nice() num_threads() io_counters() memory_percent()
status() memory_maps()   name() nice()
terminal() num_ctx_switches() create_time() memory_info() num_threads()
  num_handles() gids() memory_percent() ppid()
gids() num_threads() name() num_ctx_switches() status()
num_ctx_switches() username() ppid() ppid() terminal()
num_threads()   status() status()  
uids()   terminal() terminal() gids()
username()   uids() uids() uids()
    username() username() username()
speedup: +2.6x speedup: +1.8x / +6.5x speedup: +1.9x speedup: +2.0x speedup: +1.3x

New in version 5.0.0.


The process PID. This is the only (read-only) attribute of the class.


The process parent PID. On Windows the return value is cached after first call. Not on POSIX because ppid may change if process becomes a zombie. See also parent() method.


The process name. On Windows the return value is cached after first call. Not on POSIX because the process name may change. See also how to find a process by name.


The process executable as an absolute path. On some systems this may also be an empty string. The return value is cached after first call.

>>> import psutil
>>> psutil.Process().exe()

The command line this process has been called with as a list of strings. The return value is not cached because the cmdline of a process may change.

>>> import psutil
>>> psutil.Process().cmdline()
['python', '', 'runserver']

The environment variables of the process as a dict. Note: this might not reflect changes made after the process started.

>>> import psutil
>>> psutil.Process().environ()
{'LC_NUMERIC': 'it_IT.UTF-8', 'QT_QPA_PLATFORMTHEME': 'appmenu-qt5', 'IM_CONFIG_PHASE': '1', 'XDG_GREETER_DATA_DIR': '/var/lib/lightdm-data/giampaolo', 'GNOME_DESKTOP_SESSION_ID': 'this-is-deprecated', 'XDG_CURRENT_DESKTOP': 'Unity', 'UPSTART_EVENTS': 'started starting', 'GNOME_KEYRING_PID': '', 'XDG_VTNR': '7', 'QT_IM_MODULE': 'ibus', 'LOGNAME': 'giampaolo', 'USER': 'giampaolo', 'PATH': '/home/giampaolo/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/home/giampaolo/svn/sysconf/bin', 'LC_PAPER': 'it_IT.UTF-8', 'GNOME_KEYRING_CONTROL': '', 'GTK_IM_MODULE': 'ibus', 'DISPLAY': ':0', 'LANG': 'en_US.UTF-8', 'LESS_TERMCAP_se': '\x1b[0m', 'TERM': 'xterm-256color', 'SHELL': '/bin/bash', 'XDG_SESSION_PATH': '/org/freedesktop/DisplayManager/Session0', 'XAUTHORITY': '/home/giampaolo/.Xauthority', 'LANGUAGE': 'en_US', 'COMPIZ_CONFIG_PROFILE': 'ubuntu', 'LC_MONETARY': 'it_IT.UTF-8', 'QT_LINUX_ACCESSIBILITY_ALWAYS_ON': '1', 'LESS_TERMCAP_me': '\x1b[0m', 'LESS_TERMCAP_md': '\x1b[01;38;5;74m', 'LESS_TERMCAP_mb': '\x1b[01;31m', 'HISTSIZE': '100000', 'UPSTART_INSTANCE': '', 'CLUTTER_IM_MODULE': 'xim', 'WINDOWID': '58786407', 'EDITOR': 'vim', 'SESSIONTYPE': 'gnome-session', 'XMODIFIERS': '@im=ibus', 'GPG_AGENT_INFO': '/home/giampaolo/.gnupg/S.gpg-agent:0:1', 'HOME': '/home/giampaolo', 'HISTFILESIZE': '100000', 'QT4_IM_MODULE': 'xim', 'GTK2_MODULES': 'overlay-scrollbar', 'XDG_SESSION_DESKTOP': 'ubuntu', 'SHLVL': '1', 'XDG_RUNTIME_DIR': '/run/user/1000', 'INSTANCE': 'Unity', 'LC_ADDRESS': 'it_IT.UTF-8', 'SSH_AUTH_SOCK': '/run/user/1000/keyring/ssh', 'VTE_VERSION': '4205', 'GDMSESSION': 'ubuntu', 'MANDATORY_PATH': '/usr/share/gconf/ubuntu.mandatory.path', 'VISUAL': 'vim', 'DESKTOP_SESSION': 'ubuntu', 'QT_ACCESSIBILITY': '1', 'XDG_SEAT_PATH': '/org/freedesktop/DisplayManager/Seat0', 'LESSCLOSE': '/usr/bin/lesspipe %s %s', 'LESSOPEN': '| /usr/bin/lesspipe %s', 'XDG_SESSION_ID': 'c2', 'DBUS_SESSION_BUS_ADDRESS': 'unix:abstract=/tmp/dbus-9GAJpvnt8r', '_': '/usr/bin/python', 'DEFAULTS_PATH': '/usr/share/gconf/ubuntu.default.path', 'LC_IDENTIFICATION': 'it_IT.UTF-8', 'LESS_TERMCAP_ue': '\x1b[0m', 'UPSTART_SESSION': 'unix:abstract=/com/ubuntu/upstart-session/1000/1294', 'XDG_CONFIG_DIRS': '/etc/xdg/xdg-ubuntu:/usr/share/upstart/xdg:/etc/xdg', 'GTK_MODULES': 'gail:atk-bridge:unity-gtk-module', 'XDG_SESSION_TYPE': 'x11', 'PYTHONSTARTUP': '/home/giampaolo/.pythonstart', 'LC_NAME': 'it_IT.UTF-8', 'OLDPWD': '/home/giampaolo/svn/curio_giampaolo/tests', 'GDM_LANG': 'en_US', 'LC_TELEPHONE': 'it_IT.UTF-8', 'HISTCONTROL': 'ignoredups:erasedups', 'LC_MEASUREMENT': 'it_IT.UTF-8', 'PWD': '/home/giampaolo/svn/curio_giampaolo', 'JOB': 'gnome-session', 'LESS_TERMCAP_us': '\x1b[04;38;5;146m', 'UPSTART_JOB': 'unity-settings-daemon', 'LC_TIME': 'it_IT.UTF-8', 'LESS_TERMCAP_so': '\x1b[38;5;246m', 'PAGER': 'less', 'XDG_DATA_DIRS': '/usr/share/ubuntu:/usr/share/gnome:/usr/local/share/:/usr/share/:/var/lib/snapd/desktop', 'XDG_SEAT': 'seat0'}

Availability: Linux, OSX, Windows, SunOS

New in version 4.0.0.

Changed in version 5.3.0:: added SunOS support


The process creation time as a floating point number expressed in seconds since the epoch, in UTC. The return value is cached after first call.

>>> import psutil, datetime
>>> p = psutil.Process()
>>> p.create_time()
>>> datetime.datetime.fromtimestamp(p.create_time()).strftime("%Y-%m-%d %H:%M:%S")
'2011-03-05 18:03:52'
as_dict(attrs=None, ad_value=None)

Utility method retrieving multiple process information as a dictionary. If attrs is specified it must be a list of strings reflecting available Process class’s attribute names (e.g. ['cpu_times', 'name']), else all public (read only) attributes are assumed. ad_value is the value which gets assigned to a dict key in case AccessDenied or ZombieProcess exception is raised when retrieving that particular process information. Internally, as_dict() uses oneshot() context manager so there’s no need you use it also.

>>> import psutil
>>> p = psutil.Process()
>>> p.as_dict(attrs=['pid', 'name', 'username'])
{'username': 'giampaolo', 'pid': 12366, 'name': 'python'}

Changed in version 3.0.0: ad_value is used also when incurring into ZombieProcess exception, not only AccessDenied

Changed in version 4.5.0: as_dict() is considerably faster thanks to oneshot() context manager.


Utility method which returns the parent process as a Process object preemptively checking whether PID has been reused. If no parent PID is known return None. See also ppid() method.


The current process status as a string. The returned string is one of the psutil.STATUS_* constants.


The process current working directory as an absolute path.


The name of the user that owns the process. On UNIX this is calculated by using real process uid.


The real, effective and saved user ids of this process as a named tuple. This is the same as os.getresuid() but can be used for any process PID.

Availability: UNIX


The real, effective and saved group ids of this process as a named tuple. This is the same as os.getresgid() but can be used for any process PID.

Availability: UNIX


The terminal associated with this process, if any, else None. This is similar to “tty” command but can be used for any process PID.

Availability: UNIX


Get or set process niceness (priority). On UNIX this is a number which usually goes from -20 to 20. The higher the nice value, the lower the priority of the process.

>>> import psutil
>>> p = psutil.Process()
>>> p.nice(10)  # set
>>> p.nice()  # get

Starting from Python 3.3 this functionality is also available as os.getpriority() and os.setpriority() (UNIX only). On Windows this is implemented via GetPriorityClass and SetPriorityClass Windows APIs and value is one of the psutil.*_PRIORITY_CLASS constants reflecting the MSDN documentation. Example which increases process priority on Windows:

>>> p.nice(psutil.HIGH_PRIORITY_CLASS)
ionice(ioclass=None, value=None)

Get or set process I/O niceness (priority). On Linux ioclass is one of the psutil.IOPRIO_CLASS_* constants. value is a number which goes from 0 to 7. The higher the value, the lower the I/O priority of the process. On Windows only ioclass is used and it can be set to 2 (normal), 1 (low) or 0 (very low). The example below sets IDLE priority class for the current process, meaning it will only get I/O time when no other process needs the disk:

>>> import psutil
>>> p = psutil.Process()
>>> p.ionice(psutil.IOPRIO_CLASS_IDLE)  # set
>>> p.ionice()  # get
pionice(ioclass=<IOPriority.IOPRIO_CLASS_IDLE: 3>, value=0)

On Windows only ioclass is used and it can be set to 2 (normal), 1 (low) or 0 (very low). Also it returns an integer instead of a named tuple.

Availability: Linux and Windows > Vista

Changed in version 3.0.0: on Python >= 3.4 the returned ioclass constant is an enum instead of a plain integer.

rlimit(resource, limits=None)

Get or set process resource limits (see man prlimit). resource is one of the psutil.RLIMIT_* constants. limits is a (soft, hard) tuple. This is the same as resource.getrlimit() and resource.setrlimit() but can be used for any process PID, not only os.getpid(). For get, return value is a (soft, hard) tuple. Each value may be either and integer or psutil.RLIMIT_*. Example:

>>> import psutil
>>> p = psutil.Process()
>>> # process may open no more than 128 file descriptors
>>> p.rlimit(psutil.RLIMIT_NOFILE, (128, 128))
>>> # process may create files no bigger than 1024 bytes
>>> p.rlimit(psutil.RLIMIT_FSIZE, (1024, 1024))
>>> # get
>>> p.rlimit(psutil.RLIMIT_FSIZE)
(1024, 1024)

Availability: Linux


Return process I/O statistics as a named tuple. For Linux you can refer to /proc filesysem documentation.

  • read_count: the number of read operations performed (cumulative). This is supposed to count the number of read-related syscalls such as read() and pread() on UNIX.
  • write_count: the number of write operations performed (cumulative). This is supposed to count the number of write-related syscalls such as write() and pwrite() on UNIX.
  • read_bytes: the number of bytes read (cumulative). Always -1 on BSD.
  • write_bytes: the number of bytes written (cumulative). Always -1 on BSD.

Linux specific:

  • read_chars (Linux): the amount of bytes which this process passed to read() and pread() syscalls (cumulative). Differently from read_bytes it doesn’t care whether or not actual physical disk I/O occurred.
  • write_chars (Linux): the amount of bytes which this process passed to write() and pwrite() syscalls (cumulative). Differently from write_bytes it doesn’t care whether or not actual physical disk I/O occurred.

Windows specific:

  • other_count (Windows): the number of I/O operations performed other than read and write operations.
  • other_bytes (Windows): the number of bytes transferred during operations other than read and write operations.
>>> import psutil
>>> p = psutil.Process()
>>> p.io_counters()
pio(read_count=454556, write_count=3456, read_bytes=110592, write_bytes=0, read_chars=769931, write_chars=203)

Availability: all platforms except OSX and Solaris

Changed in version 5.2.0: added read_chars and write_chars on Linux; added other_count and other_bytes on Windows.


The number voluntary and involuntary context switches performed by this process (cumulative).


The number of file descriptors currently opened by this process (non cumulative).

Availability: UNIX


The number of handles currently used by this process (non cumulative).

Availability: Windows


The number of threads currently used by this process (non cumulative).


Return threads opened by process as a list of named tuples including thread id and thread CPU times (user/system). On OpenBSD this method requires root privileges.


Return a (user, system, children_user, children_system) named tuple representing the accumulated process time, in seconds (see explanation). On Windows and OSX only user and system are filled, the others are set to 0. This is similar to os.times() but can be used for any process PID.

Changed in version 4.1.0: return two extra fields: children_user and children_system.


Return a float representing the process CPU utilization as a percentage which can also be > 100.0 in case of a process running multiple threads on different CPUs. When interval is > 0.0 compares process times to system CPU times elapsed before and after the interval (blocking). When interval is 0.0 or None compares process times to system CPU times elapsed since last call, returning immediately. That means the first time this is called it will return a meaningless 0.0 value which you are supposed to ignore. In this case is recommended for accuracy that this function be called a second time with at least 0.1 seconds between calls. Example:

>>> import psutil
>>> p = psutil.Process()
>>> # blocking
>>> p.cpu_percent(interval=1)
>>> # non-blocking (percentage since last call)
>>> p.cpu_percent(interval=None)


the returned value can be > 100.0 in case of a process running multiple threads on different CPU cores.


the returned value is explicitly not split evenly between all available CPUs (differently from psutil.cpu_percent()). This means that a busy loop process running on a system with 2 logical CPUs will be reported as having 100% CPU utilization instead of 50%. This was done in order to be consistent with top UNIX utility and also to make it easier to identify processes hogging CPU resources independently from the number of CPUs. It must be noted that taskmgr.exe on Windows does not behave like this (it would report 50% usage instead). To emulate Windows taskmgr.exe behavior you can do: p.cpu_percent() / psutil.cpu_count().


the first time this method is called with interval = 0.0 or None it will return a meaningless 0.0 value which you are supposed to ignore.


Get or set process current CPU affinity. CPU affinity consists in telling the OS to run a process on a limited set of CPUs only (on Linux cmdline, taskset command is typically used). If no argument is passed it returns the current CPU affinity as a list of integers. If passed it must be a list of integers specifying the new CPUs affinity. If an empty list is passed all eligible CPUs are assumed (and set). On some systems such as Linux this may not necessarily mean all available logical CPUs as in list(range(psutil.cpu_count()))).

>>> import psutil
>>> psutil.cpu_count()
>>> p = psutil.Process()
>>> # get
>>> p.cpu_affinity()
[0, 1, 2, 3]
>>> # set; from now on, process will run on CPU #0 and #1 only
>>> p.cpu_affinity([0, 1])
>>> p.cpu_affinity()
[0, 1]
>>> # reset affinity against all eligible CPUs
>>> p.cpu_affinity([])

Availability: Linux, Windows, FreeBSD

Changed in version 2.2.0: added support for FreeBSD

Changed in version 5.1.0: an empty list can be passed to set affinity against all eligible CPUs.


Return what CPU this process is currently running on. The returned number should be <= psutil.cpu_count(). On FreeBSD certain kernel process may return -1. It may be used in conjunction with psutil.cpu_percent(percpu=True) to observe the system workload distributed across multiple CPUs as shown by example script.

Availability: Linux, FreeBSD, SunOS

New in version 5.1.0.


Return a named tuple with variable fields depending on the platform representing memory information about the process. The “portable” fields available on all plaforms are rss and vms. All numbers are expressed in bytes.

Linux OSX BSD Solaris Windows
rss rss rss rss rss (alias for wset)
vms vms vms vms vms (alias for pagefile)
shared pfaults text   num_page_faults
text pageins data   peak_wset
lib   stack   wset
data       peak_paged_pool
dirty       paged_pool
  • rss: aka “Resident Set Size”, this is the non-swapped physical memory a process has used. On UNIX it matches “top“‘s RES column (see doc). On Windows this is an alias for wset field and it matches “Mem Usage” column of taskmgr.exe.
  • vms: aka “Virtual Memory Size”, this is the total amount of virtual memory used by the process. On UNIX it matches “top“‘s VIRT column (see doc). On Windows this is an alias for pagefile field and it matches “Mem Usage” “VM Size” column of taskmgr.exe.
  • shared: (Linux) memory that could be potentially shared with other processes. This matches “top“‘s SHR column (see doc).
  • text (Linux, BSD): aka TRS (text resident set) the amount of memory devoted to executable code. This matches “top“‘s CODE column (see doc).
  • data (Linux, BSD): aka DRS (data resident set) the amount of physical memory devoted to other than executable code. It matches “top“‘s DATA column (see doc).
  • lib (Linux): the memory used by shared libraries.
  • dirty (Linux): the number of dirty pages.
  • pfaults (OSX): number of page faults.
  • pageins (OSX): number of actual pageins.

For on explanation of Windows fields rely on PROCESS_MEMORY_COUNTERS_EX structure doc. Example on Linux:

>>> import psutil
>>> p = psutil.Process()
>>> p.memory_info()
pmem(rss=15491072, vms=84025344, shared=5206016, text=2555904, lib=0, data=9891840, dirty=0)

Changed in version 4.0.0: multiple fields are returned, not only rss and vms.


Same as memory_info() (deprecated).


deprecated in version 4.0.0; use memory_info() instead.


This method returns the same information as memory_info(), plus, on some platform (Linux, OSX, Windows), also provides additional metrics (USS, PSS and swap). The additional metrics provide a better representation of “effective” process memory consumption (in case of USS) as explained in detail in this blog post. It does so by passing through the whole process address. As such it usually requires higher user privileges than memory_info() and is considerably slower. On platforms where extra fields are not implemented this simply returns the same metrics as memory_info().

  • uss (Linux, OSX, Windows): aka “Unique Set Size”, this is the memory which is unique to a process and which would be freed if the process was terminated right now.
  • pss (Linux): aka “Proportional Set Size”, is the amount of memory shared with other processes, accounted in a way that the amount is divided evenly between the processes that share it. I.e. if a process has 10 MBs all to itself and 10 MBs shared with another process its PSS will be 15 MBs.
  • swap (Linux): amount of memory that has been swapped out to disk.


uss is probably the most representative metric for determining how much memory is actually being used by a process. It represents the amount of memory that would be freed if the process was terminated right now.

Example on Linux:

>>> import psutil
>>> p = psutil.Process()
>>> p.memory_full_info()
pfullmem(rss=10199040, vms=52133888, shared=3887104, text=2867200, lib=0, data=5967872, dirty=0, uss=6545408, pss=6872064, swap=0)

See also for an example application.

New in version 4.0.0.


Compare process memory to total physical system memory and calculate process memory utilization as a percentage. memtype argument is a string that dictates what type of process memory you want to compare against. You can choose between the named tuple field names returned by memory_info() and memory_full_info() (defaults to "rss").

Changed in version 4.0.0: added memtype parameter.


Return process’s mapped memory regions as a list of named tuples whose fields are variable depending on the platform. This method is useful to obtain a detailed representation of process memory usage as explained here (the most important value is “private” memory). If grouped is True the mapped regions with the same path are grouped together and the different memory fields are summed. If grouped is False each mapped region is shown as a single entity and the named tuple will also include the mapped region’s address space (addr) and permission set (perms). See for an example application.

Linux OSX Windows Solaris FreeBSD
rss rss rss rss rss
size private   anonymous private
pss swapped   locked ref_count
shared_clean dirtied     shadow_count
shared_dirty ref_count      
private_clean shadow_depth      
>>> import psutil
>>> p = psutil.Process()
>>> p.memory_maps()
[pmmap_grouped(path='/lib/x8664-linux-gnu/', 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/', 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='/lib/x8664-linux-gnu/', rss=34124, rss=32768, size=2134016, pss=15360, shared_clean=24576, shared_dirty=0, private_clean=0, private_dirty=8192, referenced=24576, anonymous=8192, 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.memory_maps(grouped=False)
[pmmap_ext(addr='00400000-006ea000', perms='r-xp', path='/usr/bin/python2.7', rss=2293760, size=3055616, pss=1157120, shared_clean=2273280, shared_dirty=0, private_clean=20480, private_dirty=0, referenced=2293760, anonymous=0, swap=0),
 pmmap_ext(addr='008e9000-008eb000', perms='r--p', path='/usr/bin/python2.7', rss=8192, size=8192, pss=6144, shared_clean=4096, shared_dirty=0, private_clean=0, private_dirty=4096, referenced=8192, anonymous=4096, swap=0),
 pmmap_ext(addr='008eb000-00962000', perms='rw-p', path='/usr/bin/python2.7', rss=417792, size=487424, pss=317440, shared_clean=200704, shared_dirty=0, private_clean=16384, private_dirty=200704, referenced=417792, anonymous=200704, swap=0),
 pmmap_ext(addr='00962000-00985000', perms='rw-p', path='[anon]', rss=139264, size=143360, pss=139264, shared_clean=0, shared_dirty=0, private_clean=0, private_dirty=139264, referenced=139264, anonymous=139264, swap=0),
 pmmap_ext(addr='02829000-02ccf000', perms='rw-p', path='[heap]', rss=4743168, size=4874240, pss=4743168, shared_clean=0, shared_dirty=0, private_clean=0, private_dirty=4743168, referenced=4718592, anonymous=4743168, swap=0),

Availability: All platforms except OpenBSD and NetBSD.


Return the children of this process as a list of Process objects, preemptively checking whether PID has been reused. If recursive is True return all the parent descendants. Pseudo code example assuming A == this process:

A ─┐
   ├─ B (child) ─┐
   │             └─ X (grandchild) ─┐
   │                                └─ Y (great grandchild)
   ├─ C (child)
   └─ D (child)

>>> p.children()
B, C, D
>>> p.children(recursive=True)
B, X, Y, C, D

Note that in the example above if process X disappears process Y won’t be returned either as the reference to process A is lost. This concept is well summaried by this unit test. See also how to kill a process tree and terminate my children.


Return regular files opened by process as a list of named tuples including the following fields:

  • path: the absolute file name.
  • fd: the file descriptor number; on Windows this is always -1.

Linux only:

  • position (Linux): the file (offset) position.
  • mode (Linux): a string indicating how the file was opened, similarly open‘s mode argument. Possible values are 'r', 'w', 'a', 'r+' and 'a+'. There’s no distinction between files opened in bynary or text mode ("b" or "t").
  • flags (Linux): the flags which were passed to the underlying C call when the file was opened (e.g. os.O_RDONLY, os.O_TRUNC, etc).
>>> import psutil
>>> f = open('file.ext', 'w')
>>> p = psutil.Process()
>>> p.open_files()
[popenfile(path='/home/giampaolo/svn/psutil/file.ext', fd=3, position=0, mode='w', flags=32769)]


on Windows this method is not reliable due to some limitations of the underlying Windows API which may hang when retrieving certain file handles. In order to work around that psutil spawns a thread for each handle and kills it if it’s not responding after 100ms. That implies that this method on Windows is not guaranteed to enumerate all regular file handles (see issue 597). Also, it will only list files living in the C:\ drive (see issue 1020).


on BSD this method can return files with a null path (“”) due to a kernel bug, hence it’s not reliable (see issue 595).

Changed in version 3.1.0: no longer hangs on Windows.

Changed in version 4.1.0: new position, mode and flags fields on Linux.


Return socket connections opened by process as a list of named tuples. To get system-wide connections use psutil.net_connections(). Every named tuple provides 6 attributes:

  • fd: the socket file descriptor. This can be passed to socket.fromfd() to obtain a usable socket object. On Windows, FreeBSD and SunOS this is always set to -1.
  • family: the address family, either AF_INET, AF_INET6 or AF_UNIX.
  • type: the address type, either SOCK_STREAM or SOCK_DGRAM.
  • laddr: the local address as a (ip, port) named tuple or a path in case of AF_UNIX sockets. For UNIX sockets see notes below.
  • raddr: the remote address as a (ip, port) named tuple or an absolute path in case of UNIX sockets. When the remote endpoint is not connected you’ll get an empty tuple (AF_INET*) or "" (AF_UNIX). For UNIX sockets see notes below.
  • status: represents the status of a TCP connection. The return value is one of the psutil.CONN_* constants. For UDP and UNIX sockets this is always going to be psutil.CONN_NONE.

The kind parameter is a string which filters for connections that fit the following criteria:

Kind value Connections using
"inet" IPv4 and IPv6
"inet4" IPv4
"inet6" IPv6
"tcp" TCP
"tcp4" TCP over IPv4
"tcp6" TCP over IPv6
"udp" UDP
"udp4" UDP over IPv4
"udp6" UDP over IPv6
"unix" UNIX socket (both UDP and TCP protocols)
"all" the sum of all the possible families and protocols


>>> import psutil
>>> p = psutil.Process(1694)
>>> p.connections()
[pconn(fd=115, family=<AddressFamily.AF_INET: 2>, type=<SocketType.SOCK_STREAM: 1>, laddr=addr(ip='', port=48776), raddr=addr(ip='', port=80), status='ESTABLISHED'),
 pconn(fd=117, family=<AddressFamily.AF_INET: 2>, type=<SocketType.SOCK_STREAM: 1>, laddr=addr(ip='', port=43761), raddr=addr(ip='', port=80), status='CLOSING'),
 pconn(fd=119, family=<AddressFamily.AF_INET: 2>, type=<SocketType.SOCK_STREAM: 1>, laddr=addr(ip='', port=60759), raddr=addr(ip='', port=80), status='ESTABLISHED'),
 pconn(fd=123, family=<AddressFamily.AF_INET: 2>, type=<SocketType.SOCK_STREAM: 1>, laddr=addr(ip='', port=51314), raddr=addr(ip='', port=443), status='SYN_SENT')]


(Solaris) UNIX sockets are not supported.


(Linux, FreeBSD) “raddr” field for UNIX sockets is always set to “”. This is a limitation of the OS.


(OpenBSD) “laddr” and “raddr” fields for UNIX sockets are always set to “”. This is a limitation of the OS.

Changed in version 5.3.0: : “laddr” and “raddr” are named tuples.


Return whether the current process is running in the current process list. This is reliable also in case the process is gone and its PID reused by another process, therefore it must be preferred over doing psutil.pid_exists(


this will return True also if the process is a zombie (p.status() == psutil.STATUS_ZOMBIE).


Send a signal to process (see signal module constants) preemptively checking whether PID has been reused. On UNIX this is the same as os.kill(pid, sig). On Windows only SIGTERM, CTRL_C_EVENT and CTRL_BREAK_EVENT signals are supported and SIGTERM is treated as an alias for kill(). See also how to kill a process tree and terminate my children.

Changed in version 3.2.0: support for CTRL_C_EVENT and CTRL_BREAK_EVENT signals on Windows was added.


Suspend process execution with SIGSTOP signal preemptively checking whether PID has been reused. On UNIX this is the same as os.kill(pid, signal.SIGSTOP). On Windows this is done by suspending all process threads execution.


Resume process execution with SIGCONT signal preemptively checking whether PID has been reused. On UNIX this is the same as os.kill(pid, signal.SIGCONT). On Windows this is done by resuming all process threads execution.


Terminate the process with SIGTERM signal preemptively checking whether PID has been reused. On UNIX this is the same as os.kill(pid, signal.SIGTERM). On Windows this is an alias for kill(). See also how to kill a process tree and terminate my children.


Kill the current process by using SIGKILL signal preemptively checking whether PID has been reused. On UNIX this is the same as os.kill(pid, signal.SIGKILL). On Windows this is done by using TerminateProcess. See also how to kill a process tree and terminate my children.


Wait for process termination and if the process is a children of the current one also return the exit code, else None. On Windows there’s no such limitation (exit code is always returned). If the process is already terminated immediately return None instead of raising NoSuchProcess. If timeout is specified and process is still alive raise TimeoutExpired exception. It can also be used in a non-blocking fashion by specifying timeout=0 in which case it will either return immediately or raise TimeoutExpired. To wait for multiple processes use psutil.wait_procs().

>>> import psutil
>>> p = psutil.Process(9891)
>>> p.terminate()
>>> p.wait()

Popen class

class psutil.Popen(*args, **kwargs)

A more convenient interface to stdlib subprocess.Popen. It starts a sub process and you deal with it exactly as when using subprocess.Popen but in addition it also provides all the methods of psutil.Process class. For method names common to both classes such as send_signal(), terminate() and kill() psutil.Process implementation takes precedence. For a complete documentation refer to subprocess module documentation.


Unlike subprocess.Popen this class preemptively checks whether PID has been reused on send_signal(), terminate() and kill() so that you can’t accidentally terminate another process, fixing

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

psutil.Popen objects are supported as context managers via the with statement: on exit, standard file descriptors are closed, and the process is waited for. This is supported on all Python versions.

>>> import psutil, subprocess
>>> with psutil.Popen(["ifconfig"], stdout=subprocess.PIPE) as proc:
>>>     log.write(

Changed in version 4.4.0: added context manager support

Windows services


Return an iterator yielding a WindowsService class instance for all Windows services installed.

New in version 4.2.0.

Availability: Windows


Get a Windows service by name, returning a WindowsService instance. Raise psutil.NoSuchProcess if no service with such name exists.

New in version 4.2.0.

Availability: Windows

class psutil.WindowsService

Represents a Windows service with the given name. This class is returned by win_service_iter() and win_service_get() functions and it is not supposed to be instantiated directly.


The service name. This string is how a service is referenced and can be passed to win_service_get() to get a new WindowsService instance.


The service display name. The value is cached when this class is instantiated.


The fully qualified path to the service binary/exe file as a string, including command line arguments.


The name of the user that owns this service.


A string which can either be “automatic”, “manual” or “disabled”.


The process PID, if any, else None. This can be passed to Process class to control the service’s process.


Service status as a string, which may be either “running”, “paused”, “start_pending”, “pause_pending”, “continue_pending”, “stop_pending” or “stopped”.


Service long description.


Utility method retrieving all the information above as a dictionary.

New in version 4.2.0.

Availability: Windows

Example code:

>>> import psutil
>>> 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'}



bool constants which define what platform you’re on. E.g. if on Windows, WINDOWS constant will be True, all others will be False.

New in version 4.0.0.


The path of the /proc filesystem on Linux and Solaris (defaults to "/proc"). You may want to re-set this constant right after importing psutil in case your /proc filesystem is mounted elsewhere or if you want to retrieve information about Linux containers such as Docker, Heroku or LXC (see here for more info). It must be noted that this trick works only for APIs which rely on /proc filesystem (e.g. memory APIs and most Process class methods).

Availability: Linux, Solaris

New in version 3.2.3.

Changed in version 3.4.2: also available on Solaris.


A set of strings representing the status of a process. Returned by psutil.Process.status().

New in version 3.4.1: STATUS_SUSPENDED (NetBSD)


A set of strings representing the status of a TCP connection. Returned by psutil.Process.connections() (status field).


A set of integers representing the priority of a process on Windows (see MSDN documentation). They can be used in conjunction with psutil.Process.nice() to get or set process priority.

Availability: Windows

Changed in version 3.0.0: on Python >= 3.4 these constants are enums instead of a plain integer.


A set of integers representing the I/O priority of a process on Linux. They can be used in conjunction with psutil.Process.ionice() to get or set process I/O priority. IOPRIO_CLASS_NONE and IOPRIO_CLASS_BE (best effort) is the default for any process that hasn’t set a specific I/O priority. IOPRIO_CLASS_RT (real time) means the process is given first access to the disk, regardless of what else is going on in the system. IOPRIO_CLASS_IDLE means the process will get I/O time when no-one else needs the disk. For further information refer to manuals of ionice command line utility or ioprio_get system call.

Availability: Linux

Changed in version 3.0.0: on Python >= 3.4 these constants are enums instead of a plain integer.


Constants used for getting and setting process resource limits to be used in conjunction with psutil.Process.rlimit(). See man prlimit for further information.

Availability: Linux

Constant which identifies a MAC address associated with a network interface. To be used in conjunction with psutil.net_if_addrs().

New in version 3.0.0.


Constants which identifies whether a NIC (network interface card) has full or half mode speed. NIC_DUPLEX_FULL means the NIC is able to send and receive data (files) simultaneously, NIC_DUPLEX_FULL means the NIC can either send or receive data at a time. To be used in conjunction with psutil.net_if_stats().

New in version 3.0.0.


Whether the remaining time of the battery cannot be determined or is unlimited. May be assigned to psutil.sensors_battery()‘s secsleft field.

New in version 5.1.0.


A tuple to check psutil installed version. Example:

>>> import psutil
>>> if psutil.version_info >= (4, 5):
...    pass


Starting from version 5.3.0 psutil fully supports unicode, see issue #1040. The notes below apply to any API returning a string such as Process.exe() or Process.cwd(), including non-filesystem related methods such as Process.username() or WindowsService.description():

  • all strings are encoded by using the OS filesystem encoding (sys.getfilesystemencoding()) which varies depending on the platform (e.g. “UTF-8” on OSX, “mbcs” on Win)
  • no API call is supposed to crash with UnicodeDecodeError
  • instead, in case of badly encoded data returned by the OS, the following error handlers are used to replace the corrupted characters in the string:
    • Python 3: sys.getfilesystemencodeerrors() (PY 3.6+) or "surrogatescape" on POSIX and "replace" on Windows
    • Python 2: "replace"
  • on Python 2 all APIs return bytes (str type), never unicode
  • on Python 2, you can go back to unicode by doing:
>>> unicode(p.exe(), sys.getdefaultencoding(), errors="replace")

Example which filters processes with a funky name working with both Python 2 and 3:

# -*- coding: utf-8 -*-
import psutil, sys

PY3 = sys.version_info[0] == 2
LOOKFOR = u"ƒőő"
for proc in psutil.process_iter(attrs=['name']):
    name =['name']
    if not PY3:
        name = unicode(name, sys.getdefaultencoding(), errors="replace")
    if LOOKFOR == name:
         print("process %s found" % p)


Follows a collection of utilities and examples which are common but not generic enough to be part of the public API.

Find process by name

Check string against

import psutil

def find_procs_by_name(name):
    "Return a list of processes matching 'name'."
    ls = []
    for p in psutil.process_iter(attrs=['name']):
        if['name'] == name:
    return ls

A bit more advanced, check string against, Process.exe() and Process.cmdline():

import os
import psutil

def find_procs_by_name(name):
    "Return a list of processes matching 'name'."
    ls = []
    for p in psutil.process_iter(attrs=["name", "exe", "cmdline"]):
        if name ==['name'] or \
      ['exe'] and os.path.basename(['exe']) == name or \
      ['cmdline'] and['cmdline'][0] == name:
    return ls

Kill process tree

import os
import signal
import psutil

def kill_proc_tree(pid, sig=signal.SIGTERM, include_parent=True,
                   timeout=None, on_terminate=None):
    """Kill a process tree (including grandchildren) with signal
    "sig" and return a (gone, still_alive) tuple.
    "on_terminate", if specified, is a callabck function which is
    called as soon as a child terminates.
    if pid == os.getpid():
        raise RuntimeError("I refuse to kill myself")
    parent = psutil.Process(pid)
    children = parent.children(recursive=True)
    if include_parent:
    for p in children:
    gone, alive = psutil.wait_procs(children, timeout=timeout,
    return (gone, alive)

Terminate my children

This may be useful in unit tests whenever sub-processes are started. This will help ensure that no extra children (zombies) stick around to hog resources.

import psutil

def reap_children(timeout=3):
    "Tries hard to terminate and ultimately kill all the children of this process."
    def on_terminate(proc):
        print("process {} terminated with exit code {}".format(proc, proc.returncode))

    procs = psutil.Process().children()
    # send SIGTERM
    for p in procs:
    gone, alive = psutil.wait_procs(procs, timeout=timeout, callback=on_terminate)
    if not alive:
        # send SIGKILL
        for p in alive:
            print("process {} survived SIGTERM; trying SIGKILL" % p)
        gone, alive = psutil.wait_procs(alive, timeout=timeout, callback=on_terminate)
        if not alive:
            # give up
            for p in alive:
                print("process {} survived SIGKILL; giving up" % p)

Filtering and sorting processes

This is a collection of one-liners showing how to use process_iter() in order to filter for processes and sort them.


>>> import psutil
>>> from pprint import pprint as pp

Processes having “python” in their name:

>>> pp([ for p in psutil.process_iter(attrs=['pid', 'name']) if 'python' in['name']])
[{'name': 'python3', 'pid': 21947},
 {'name': 'python', 'pid': 23835}]

Processes owned by user:

>>> import getpass
>>> pp([(,['name']) for p in psutil.process_iter(attrs=['name', 'username']) if['username'] == getpass.getuser()])
(16832, 'bash'),
(19772, 'ssh'),
(20492, 'python')]

Processes actively running:

>>> pp([(, for p in psutil.process_iter(attrs=['name', 'status']) if['status'] == psutil.STATUS_RUNNING])
[(1150, {'name': 'Xorg', 'status': 'running'}),
 (1776, {'name': 'unity-panel-service', 'status': 'running'}),
 (20492, {'name': 'python', 'status': 'running'})]

Processes using log files:

>>> import os
>>> import psutil
>>> for p in psutil.process_iter(attrs=['name', 'open_files']):
...      for file in['open_files'] or []:
...          if os.path.splitext(file.path)[1] == '.log':
...               print("%-5s %-10s %s" % (,['name'][:10], file.path))
1510  upstart    /home/giampaolo/.cache/upstart/unity-settings-daemon.log
2174  nautilus   /home/giampaolo/.local/share/gvfs-metadata/home-ce08efac.log
2650  chrome     /home/giampaolo/.config/google-chrome/Default/data_reduction_proxy_leveldb/000003.log

Processes consuming more than 500M of memory:

>>> pp([(,['name'],['memory_info'].rss) for p in psutil.process_iter(attrs=['name', 'memory_info']) if['memory_info'].rss > 500 * 1024 * 1024])
[(2650, 'chrome', 532324352),
 (3038, 'chrome', 1120088064),
 (21915, 'sublime_text', 615407616)]

Top 3 most memory consuming processes:

>>> pp([(, for p in sorted(psutil.process_iter(attrs=['name', 'memory_percent']), key=lambda p:['memory_percent'])][-3:])
[(21915, {'memory_percent': 3.6815453247662737, 'name': 'sublime_text'}),
 (3038, {'memory_percent': 6.732935429979187, 'name': 'chrome'}),
 (3249, {'memory_percent': 8.994554843376399, 'name': 'chrome'})]

Top 3 processes which consumed the most CPU time:

>>> pp([(,['name'], sum(['cpu_times'])) for p in sorted(psutil.process_iter(attrs=['name', 'cpu_times']), key=lambda p: sum(['cpu_times'][:2]))][-3:])
[(2721, 'chrome', 10219.73),
 (1150, 'Xorg', 11116.989999999998),
 (2650, 'chrome', 18451.97)]

Top 3 processes which caused the most I/O:

>>> pp([(,['name']) for p in sorted(psutil.process_iter(attrs=['name', 'io_counters']), key=lambda p:['io_counters'] and['io_counters'][:2])][-3:])
[(21915, 'sublime_text'),
 (1871, 'pulseaudio'),
 (1510, 'upstart')]

Top 3 processes opening more file descriptors:

 >>> pp([(, for p in sorted(psutil.process_iter(attrs=['name', 'num_fds']), key=lambda p:['num_fds'])][-3:])
[(21915, {'name': 'sublime_text', 'num_fds': 105}),
 (2721, {'name': 'chrome', 'num_fds': 185}),
 (2650, {'name': 'chrome', 'num_fds': 354})]


  • Q: What Windows versions are supported?
  • A: From Windows Vista onwards, both 32 and 64 bit versions. Latest binary (wheel / exe) release which supports Windows 2000, XP and 2003 server is psutil 3.4.2. On such old systems psutil is no longer tested or maintained, but it can still be compiled from sources (you’ll need Visual Studio) and it should “work” (more or less).

  • Q: What SunOS versions are supported?
  • A: From Solaris 10 onwards.

  • Q: Why do I get AccessDenied for certain processes?
  • A: This may happen when you query processess owned by another user, especially on OSX and Windows. Unfortunately there’s not much you can do about this except running the Python process with higher privileges. On Unix you may run the the Python process as root or use the SUID bit (this is the trick used by tools such as ps and netstat). On Windows you may run the Python process as NT AUTHORITY\SYSTEM or install the Python script as a Windows service (this is the trick used by tools such as ProcessHacker).

  • Q: What about load average?
  • A: psutil does not expose any load average function as it’s already available in python as os.getloadavg

Running tests

There are two ways of running tests. If psutil is already installed use:

$ python -m psutil.tests

You can use this method as a quick way to make sure psutil fully works on your platform. If you have a copy of the source code you can also use:

$ make test

Development guide

If you plan on hacking on psutil (e.g. want to add a new feature or fix a bug) take a look at the development guide.