Glances is a cross-platform monitoring tool that aims to present a large amount of monitoring information through a curse 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 use libraries to grab information from your system. It is based on an open architecture where developers can add new plugins or export modules.

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Requirements

• python>=2.7 or python>=3.4
• psutil>=5.3.0 (better with the 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 (the 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)

Installation

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

PyPI: The standard way

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

pip install --user 'glances[web]'

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

pip install --user --upgrade glances

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

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

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

docker pull nicolargo/glances:<version>

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

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

docker run -v `pwd`/glances.conf:/etc/glances.conf -v /var/run/docker.sock:/var/run/docker.sock:ro --pid host -e GLANCES_OPT="-C /etc/glances.conf" -it nicolargo/glances:latest-full

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

# pkg install py38-glances

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

$ brew install glances

$ sudo port install glances

$ pip install glances

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

$ glances

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

Usage

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.

Documentation

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.

Gateway to other services

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

How to contribute?

If you want to contribute to the Glances project, read this wiki page. There is also a chat dedicated to the Glances developers:

Author

Nicolas Hennion (@nicolargo) <[email protected]>

Download tool and support the author: https://github.com/nicolargo/glances