A cross-platform curses-based monitoring tool
Follow Glances on Twitter: @nicolargo
Glances is a cross-platform monitoring tool which aims to present a maximum of information in a minimum of space through a curses or Web based interface. It can adapt dynamically the displayed information depending on the user interface size.
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,>=3.3
- psutil>=2.0.0 (better with latest version)
- bernhard (for the Riemann export module)
- bottle (for Web server mode)
- cassandra-driver (for the Cassandra export module)
- couchdb (for the CouchDB export module)
- docker (for the Docker monitoring support) [Linux-only]
- elasticsearch (for the Elastic Search export module)
- hddtemp (for HDD temperature monitoring support) [Linux-only]
- influxdb (for the InfluxDB export module)
- kafka-python (for the Kafka export module)
- matplotlib (for graphical/chart support)
- netifaces (for the IP plugin)
- nvidia-ml-py3 (for the GPU plugin)
- 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)
- pymdstat (for RAID support) [Linux-only]
- pysnmp (for SNMP support)
- pystache (for the action script feature)
- 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]
- statsd (for the StatsD export module)
- wifi (for the wifi plugin) [Linux-only]
- zeroconf (for the autodiscover mode)
Note for Python 2.6 users
Since version 2.7, Glances no longer support Python 2.6. Please upgrade to at least Python 2.7/3.3+ or downgrade to Glances 2.6.2 (latest version with Python 2.6 support).
Note for CentOS Linux 6 and 7 users
Python 2.7, 3.3 and 3.4 are now available via SCLs. See: https://lists.centos.org/pipermail/centos-announce/2015-December/021555.html.
Several method to test/install Glances on your system. Choose your weapon !
Glances Auto Install script: the total way
To install both dependencies and latest Glances production ready version (aka master branch), just enter the following command line:
curl -L https://bit.ly/glances | /bin/bash
wget -O- https://bit.ly/glances | /bin/bash
Note: Only supported on some GNU/Linux distributions. If you want to support other distributions, please contribute to glancesautoinstall.
PyPI: The simple way
Glances is on PyPI. By using PyPI, you are sure to have the latest stable version.
To install, simply use pip:
pip install glances
Note: Python headers are required to install psutil. For example, on Debian/Ubuntu you need to install first the python-dev package. For Fedora/CentOS/RHEL install first python-devel package. 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 glances[action,browser,cloud,cpuinfo,chart,docker,export,folders,gpu,ip,raid,snmp,web,wifi]
To upgrade Glances to the latest version:
pip install --upgrade glances pip install --upgrade glances[...]
If you need to install Glances in a specific user location, use:
export PYTHONUSERBASE=~/mylocalpath pip install --user glances
Docker: the funny way
A Glances container is available. It will include the latest development HEAD version. You can use it to monitor your server and all your others containers !
Get the Glances container:
docker pull nicolargo/glances
Run the container in console mode:
docker run -v /var/run/docker.sock:/var/run/docker.sock:ro --pid host -it docker.io/nicolargo/glances
Additionally, if you want to use your own glances.conf file, you can create your own Dockerfile:
FROM nicolargo/glances 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 ./glances.conf:/glances/conf/glances.conf -v /var/run/docker.sock:/var/run/docker.sock:ro --pid host -it docker.io/nicolargo/glances
Where ./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 docker.io/nicolargo/glances
Glances is available on many Linux distributions, so you should be able to install it using your favorite package manager. Be aware that Glances may not be the latest one using this method.
To install the binary package:
# pkg install py27-glances
To install Glances from ports:
# cd /usr/ports/sysutils/py-glances/ # make install clean
macOS users can install Glances using Homebrew or MacPorts.
$ brew install python $ pip install glances
$ sudo port install glances
Install Python for Windows (Python 2.7.9+ and 3.4+ ship with pip) and then just:
$ pip install glances
You need a rooted device and the Termux application (available on the Google Store).
Start Termux on your device and enter:
$ apt update $ apt upgrade $ apt install clang python python-dev $ pip install bottle $ pip install glances
And start 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
For the standalone mode, just run:
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
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.
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:
LGPLv3. See COPYING for more details.