Glances is a cross-platform monitoring tool which aims to present a large amount of monitoring information through a curses or Web based interface. The information dynamically adapts depending on the size of the user interface.

It can also work in client/server mode. Remote monitoring could be done via terminal, Web interface or API (XML-RPC and RESTful). Stats can also be exported to files or external time/value databases.

Glances is written in Python and uses libraries to grab information from your system. It is based on an open architecture where developers can add new plugins or exports modules.

• python>=2.7 or python>=3.4
• psutil>=5.3.0 (better with latest version)
• defusedxml (in order to monkey patch xmlrpc)
• future (for Python 2 support)

Note for Python 2.6 users

Glances no longer supports Python 2.6. Please upgrade to a minimum Python version of 2.7/3.4+ or downgrade to Glances 2.6.2 (last version with Python 2.6 support).

Deprecation warning note for Python 2.x users

Glances version 4.0 will no longer supports Python 2.x.

Optional dependencies:

• bernhard (for the Riemann export module)
• bottle (for Web server mode)
• cassandra-driver (for the Cassandra export module)
• chevron (for the action script feature)
• couchdb (for the CouchDB export module)
• docker (for the Docker monitoring support) [Linux/macOS-only]
• elasticsearch (for the Elastic Search export module)
• graphitesender (For the Graphite export module)
• hddtemp (for HDD temperature monitoring support) [Linux-only]
• influxdb (for the InfluxDB version 1 export module)
• influxdb-client (for the InfluxDB version 2 export module) [Only for Python >= 3.6]
• kafka-python (for the Kafka export module)
• netifaces (for the IP plugin)
• py3nvml (for the GPU plugin) [Only for Python 3]
• pika (for the RabbitMQ/ActiveMQ export module)
• potsdb (for the OpenTSDB export module)
• prometheus_client (for the Prometheus export module)
• py-cpuinfo (for the Quicklook CPU info module)
• pygal (for the graph export module)
• pymdstat (for RAID support) [Linux-only]
• pysnmp (for SNMP support)
• pySMART.smartx (for HDD Smart support) [Linux-only]
• pyzmq (for the ZeroMQ export module)
• requests (for the Ports, Cloud plugins and RESTful export module)
• scandir (for the Folders plugin) [Only for Python < 3.5]
• sparklines (for the Quick Plugin sparklines option)
• statsd (for the StatsD export module)
• wifi (for the wifi plugin) [Linux-only]
• zeroconf (for the autodiscover mode)

There are several methods to test/install Glances on your system. Choose your weapon!

Glances is on PyPI. By using PyPI, you will be using the latest stable version.

To install Glances, simply use pip:

pip install --user glances

Note: Python headers are required to install psutil, a Glances dependency. For example, on Debian/Ubuntu you need to install first the python-dev package (python-devel on Fedora/CentOS/RHEL). For Windows, just install psutil from the binary installation file.

Note 2 (for the Wifi plugin): If you want to use the Wifi plugin, you need to install the wireless-tools package on your system.

You can also install the following libraries in order to use optional features (like the Web interface, exports modules...):

pip install --user 'glances[action,browser,cloud,cpuinfo,docker,export,folders,gpu,graph,ip,raid,snmp,web,wifi]'

To upgrade Glances to the latest version:

pip install --user --upgrade glances
pip install --user --upgrade glances[...]

If you need to install Glances in a specific user location, use:

export PYTHONUSERBASE=~/mylocalpath
pip install --user glances

If you are administrator and want to install Glances for all users:

sudo pip install glances

The current develop branch is also published to the test.pypi.org package index. If you want to test the develop version, enter:

pip install --user -i https://test.pypi.org/simple/ Glances

To install both dependencies and the latest Glances production ready version (aka master branch), just enter the following command line:

curl -L https://bit.ly/glances | /bin/bash

or

wget -O- https://bit.ly/glances | /bin/bash

Note: This is only supported on some GNU/Linux distributions and Mac OS X. If you want to support other distributions, please contribute to glancesautoinstall.

Glances containers are availables. You can use it to monitor your server and all your other containers!

Get the Glances container:

docker pull nicolargo/glances:<version>

Available versions on the Docker Hub repository:

• nicolargo/glances:latest for a basic Debian Glances image version with minimal dependencies
• nicolargo/glances:alpine-latest for a basic Alpine Glances image version with minimal dependencies
• nicolargo/glances:latest-full for a full Debian Glances image version with all dependencies
• nicolargo/glances:alpine-latest-full for a full Alpine Glances image version with all dependencies

You can also specify a version by replacing latest by 3.2.3 (for example).

Run last version of Glances container in console mode:

docker run --rm -v /var/run/docker.sock:/var/run/docker.sock:ro --pid host --network host -it nicolargo/glances:latest-full

Additionally, if you want to use your own glances.conf file, you can create your own Dockerfile:

FROM nicolargo/glances:latest
COPY glances.conf /glances/conf/glances.conf
CMD python -m glances -C /glances/conf/glances.conf $GLANCES_OPT

Alternatively, you can specify something along the same lines with docker run options:

docker run -v `pwd`/glances.conf:/glances/conf/glances.conf -v /var/run/docker.sock:/var/run/docker.sock:ro --pid host -it nicolargo/glances:latest-full

Where `pwd`/glances.conf is a local directory containing your glances.conf file.

Run the container in Web server mode (notice the GLANCES_OPT environment variable setting parameters for the glances startup command):

docker run -d --restart="always" -p 61208-61209:61208-61209 -e GLANCES_OPT="-w" -v /var/run/docker.sock:/var/run/docker.sock:ro --pid host nicolargo/glances:latest-full

Glances is available on many Linux distributions, so you should be able to install it using your favorite package manager. Be aware that when you use this method the operating system package for Glances may not be the latest version.

To install the binary package:

# pkg install py37-glances

To install Glances from ports:

# cd /usr/ports/sysutils/py-glances/
# make install clean

If you do not want to use the glancesautoinstall script, follow this procedure.

macOS users can install Glances using Homebrew or MacPorts.

$ brew install glances

$ sudo port install glances

Install Python for Windows (Python 2.7.9+ and 3.4+ ship with pip) and then run the following command:

$ pip install glances

You need a rooted device and the Termux application (available on the Google Play Store).

Start Termux on your device and enter:

$ apt update
$ apt upgrade
$ apt install clang python
$ pip install bottle
$ pip install glances

And start Glances:

$ glances

You can also run Glances in server mode (-s or -w) in order to remotely monitor your Android device.

To install Glances from source:

$ wget https://github.com/nicolargo/glances/archive/vX.Y.tar.gz -O - | tar xz
$ cd glances-*
# python setup.py install

Note: Python headers are required to install psutil.

An awesome Chef cookbook is available to monitor your infrastructure: https://supermarket.chef.io/cookbooks/glances (thanks to Antoine Rouyer)

You can install Glances using Puppet: https://github.com/rverchere/puppet-glances

A Glances Ansible role is available: https://galaxy.ansible.com/zaxos/glances-ansible-role/

For the standalone mode, just run:

$ glances

For the Web server mode, run:

$ glances -w

and enter the URL http://<ip>:61208 in your favorite web browser.

For the client/server mode, run:

$ glances -s

on the server side and run:

$ glances -c <ip>

on the client one.

You can also detect and display all Glances servers available on your network or defined in the configuration file:

$ glances --browser

You can also display raw stats on stdout:

$ glances --stdout cpu.user,mem.used,load
cpu.user: 30.7
mem.used: 3278204928
load: {'cpucore': 4, 'min1': 0.21, 'min5': 0.4, 'min15': 0.27}
cpu.user: 3.4
mem.used: 3275251712
load: {'cpucore': 4, 'min1': 0.19, 'min5': 0.39, 'min15': 0.27}
...

or in a CSV format thanks to the stdout-csv option:

$ glances --stdout-csv now,cpu.user,mem.used,load
now,cpu.user,mem.used,load.cpucore,load.min1,load.min5,load.min15
2018-12-08 22:04:20 CEST,7.3,5948149760,4,1.04,0.99,1.04
2018-12-08 22:04:23 CEST,5.4,5949136896,4,1.04,0.99,1.04
...

and RTFM, always.

For complete documentation have a look at the readthedocs website.

If you have any question (after RTFM!), please post it on the official Q&A forum.

Glances can export stats to: CSV file, JSON file, InfluxDB, Cassandra, CouchDB, OpenTSDB, Prometheus, StatsD, ElasticSearch, RabbitMQ/ActiveMQ, ZeroMQ, Kafka, Riemann, Graphite and RESTful server.

If you want to contribute to the Glances project, read this wiki page.

There is also a chat dedicated to the Glances developers:

If this project help you, you can give me a tip ;)

See the sponsors page.

Nicolas Hennion (@nicolargo) <nicolas@nicolargo.com>

Glances is distributed under the LGPL version 3 license. See COPYING for more details.