Package Health Score

94 / 100

security
No known security issues
popularity
Influential project
maintenance
Healthy
community
Active

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Popularity

Influential project

GitHub Stars: 26.88K
Forks: 1.53K
Contributors: 170

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package Glances, we found that it has been starred 26,882 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 1, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

LGPL-3.0

Non-Permissive License

We noticed that this project uses a license which requires less permissive conditions such as disclosing the source code, stating changes or redistributing the source under the same license. It is advised to further consult the license terms before use.

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 164
Open PR: 14
Last Release: 21 days ago
Last Commit: 5 days ago

Further analysis of the maintenance status of Glances based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that Glances demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 170
Funding: Yes

A good and healthy external contribution signal for Glances project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.8

Age: 11 years
Latest Release: 21 days ago
Dependencies: 2 Direct
Versions: 94
Maintainers: 1
Wheels: OS Independent

Not sure how to use Glances?

To help you get started, we've collected the most common ways that Glances is being used within popular public projects.

nicolargo / glances / glances / plugins / glances_diskio.py View on Github

ret.append(self.curse_add_line(msg))
            msg = '{:>7}'.format('W/s')
            ret.append(self.curse_add_line(msg))
        # Disk list (sorted by name)
        for i in self.sorted_stats():
            # Is there an alias for the disk name ?
            disk_real_name = i['disk_name']
            disk_name = self.has_alias(i['disk_name'])
            if disk_name is None:
                disk_name = disk_real_name
            # New line
            ret.append(self.curse_new_line())
            if len(disk_name) > name_max_width:
                # Cut disk name if it is too long
                disk_name = '_' + disk_name[-name_max_width:]
            msg = '{:{width}}'.format(nativestr(disk_name),
                                      width=name_max_width)
            ret.append(self.curse_add_line(msg))
            if args.diskio_iops:
                # count
                txps = self.auto_unit(
                    int(i['read_count'] // i['time_since_update']))
                rxps = self.auto_unit(
                    int(i['write_count'] // i['time_since_update']))
                msg = '{:>7}'.format(txps)
                ret.append(self.curse_add_line(msg,
                                               self.get_views(item=i[self.get_key()],
                                                              key='read_count',
                                                              option='decoration')))
                msg = '{:>7}'.format(rxps)
                ret.append(self.curse_add_line(msg,
                                               self.get_views(item=i[self.get_key()],

View more ways to use Glances

Glances - An eye on your system

Summary

Glances is an open-source system cross-platform monitoring tool. It allows real-time monitoring of various aspects of your system such as CPU, memory, disk, network usage etc. It also allows monitoring of running processes, logged in users, temperatures, voltages, fan speeds etc. It also supports container monitoring, it supports different container management systems such as Docker, LXC. The information is presented in an easy to read dashboard and can also be used for remote monitoring of systems via a web interface or command line interface. It is easy to install and use and can be customized to show only the information that you are interested in.

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, CSV or direct output to STDOUT.

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.

Project sponsorship

You can help me to achieve my goals of improving this open-source project or just say "thank you" by:

sponsor me using one-time or monthly tier Github sponsors page
send me some pieces of bitcoin: 185KN9FCix3svJYp7JQM7hRMfSKyeaJR4X
buy me a gift on my wishlist page

Any and all contributions are greatly appreciated.

Requirements

python>=3.8 (use Glances 3.4.x for lower Python version)
psutil (better with latest version)
defusedxml (in order to monkey patch xmlrpc)
packaging (for the version comparison)
orjson (an optimized alternative to the standard json module)

Note for Python 2 users

Glances version 4 or higher do not support Python 2 (and Python 3 < 3.8). Please uses Glances version 3.4.x if you need Python 2 support.

Optional dependencies:

batinfo (for battery monitoring)
bernhard (for the Riemann export module)
cassandra-driver (for the Cassandra export module)
chevron (for the action script feature)
docker (for the Containers Docker monitoring support)
elasticsearch (for the Elastic Search export module)
FastAPI and Uvicorn (for Web server mode)
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)
jinja2 (for templating, used under the hood by FastAPI)
kafka-python (for the Kafka export module)
netifaces (for the IP plugin)
nvidia-ml-py (for the GPU plugin)
pycouchdb (for the CouchDB export module)
pika (for the RabbitMQ/ActiveMQ export module)
podman (for the Containers Podman monitoring support)
potsdb (for the OpenTSDB export module)
prometheus_client (for the Prometheus export module)
pygal (for the graph export module)
pymdstat (for RAID support) [Linux-only]
pymongo (for the MongoDB export module)
pysnmp-lextudio (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)
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: Pip, the standard way

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

To install Glances, simply use the pip command line.

Warning: on modern Linux operating systems, you may have an externally-managed-environment error message when you try to use pip. In this case, go to the the PipX section below.

pip install --user glances

Note: Python headers are required to install psutil, a Glances dependency. For example, on Debian/Ubuntu the simplest is apt install python3-psutil or alternatively need to install first the python-dev package and gcc (python-devel on Fedora/CentOS/RHEL). For Windows, just install psutil from the binary installation file.

By default, Glances is installed without the Web interface dependencies. To install it, use the following command:

pip install --user 'glances[web]'

For a full installation (with all features):

pip install --user 'glances[all]'

To upgrade Glances to the latest version:

pip install --user --upgrade glances

The current develop branch is published to the test.pypi.org package index. If you want to test the develop version (could be instable), enter:

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

PyPI: PipX, the alternative way

Install PipX on your system (apt install pipx on Ubuntu).

Install Glances (with all features):

pipx install 'glances[all]'

The glances script will be installed in the ~/.local/bin folder.

Docker: the cloudy way

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

Get the Glances container:

docker pull nicolargo/glances:latest-full

The following tags are availables:

latest-full for a full Alpine Glances image (latest release) with all dependencies
latest for a basic Alpine Glances (latest release) version with minimal dependencies (FastAPI and Docker)
dev for a basic Alpine Glances image (based on development branch) with all dependencies (Warning: may be instable)
ubuntu-latest-full for a full Ubuntu Glances image (latest release) with all dependencies
ubuntu-latest for a basic Ubuntu Glances (latest release) version with minimal dependencies (FastAPI and Docker)
ubuntu-dev for a basic Ubuntu Glances image (based on development branch) with all dependencies (Warning: may be instable)

Run last version of Glances container in console mode:

docker run --rm -e TZ="${TZ}" -v /var/run/docker.sock:/var/run/docker.sock:ro -v /run/user/1000/podman/podman.sock:/run/user/1000/podman/podman.sock:ro --pid host --network host -it nicolargo/glances:latest-full

By default, the /etc/glances/glances.conf file is used (based on docker-compose/glances.conf).

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

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

Alternatively, you can specify something along the same lines with docker run options (notice the GLANCES_OPT environment variable setting parameters for the glances startup command):

docker run -e TZ="${TZ}" -v $HOME/.config/glances/glances.conf:/glances.conf:ro -v /var/run/docker.sock:/var/run/docker.sock:ro -v /run/user/1000/podman/podman.sock:/run/user/1000/podman/podman.sock:ro --pid host -e GLANCES_OPT="-C /glances.conf" -it nicolargo/glances:latest-full

Where $HOME/.config/glances/glances.conf is a local directory containing your glances.conf file.

Run the container in Web server mode:

docker run -d --restart="always" -p 61208-61209:61208-61209 -e TZ="${TZ}" -e GLANCES_OPT="-w" -v /var/run/docker.sock:/var/run/docker.sock:ro -v /run/user/1000/podman/podman.sock:/run/user/1000/podman/podman.sock:ro --pid host nicolargo/glances:latest-full

For a full list of options, see the Glances Docker documentation page.

GNU/Linux package

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 and only basics plugins are enabled.

Note: The Debian package (and all other Debian-based distributions) do not include anymore the JS statics files used by the Web interface (see issue2021). If you want to add it to your Glances installation, follow the instructions: issue2021comment. In Glances version 4 and higher, the path to the statics file is configurable (see issue2612).

FreeBSD

To install the binary package:

# pkg install py39-glances

To install Glances from ports:

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

macOS

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

macOS users can install Glances using Homebrew or MacPorts.

Homebrew

$ brew install glances

MacPorts

$ sudo port install glances

Windows

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

$ pip install glances

Android

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 fastapi uvicorn jinja2
$ 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.

Source

To install Glances from source:

$ pip install https://github.com/nicolargo/glances/archive/vX.Y.tar.gz

Note: Python headers are required to install psutil.

Chef

An awesome Chef cookbook is available to monitor your infrastructure: (thanks to Antoine Rouyer)

Puppet

You can install Glances using Puppet:

Ansible

A Glances Ansible role is available:

Usage

For the standalone mode, just run:

$ glances

For the Web server mode, run:

$ glances -w

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

For the client/server mode, run:

$ glances -s

on the server side and run:

$ glances -c

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
...

or in a JSON format thanks to the stdout-json option (attribute not supported in this mode in order to have a real JSON object in output):

$ glances --stdout-json cpu,mem
cpu: {"total": 29.0, "user": 24.7, "nice": 0.0, "system": 3.8, "idle": 71.4, "iowait": 0.0, "irq": 0.0, "softirq": 0.0, "steal": 0.0, "guest": 0.0, "guest_nice": 0.0, "time_since_update": 1, "cpucore": 4, "ctx_switches": 0, "interrupts": 0, "soft_interrupts": 0, "syscalls": 0}
mem: {"total": 7837949952, "available": 2919079936, "percent": 62.8, "used": 4918870016, "free": 2919079936, "active": 2841214976, "inactive": 3340550144, "buffers": 546799616, "cached": 3068141568, "shared": 788156416}
...

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, Graphite 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) <>

License

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

Glances dependencies

defusedxml packaging

FAQs

What is Glances?

A cross-platform curses-based monitoring tool. Visit Snyk Advisor to see a full health score report for Glances, including popularity, security, maintenance & community analysis.

Is Glances popular?

The python package Glances receives a total of 224,546 weekly downloads. As such, Glances popularity was classified as an influential project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is Glances well maintained?

We found that Glances demonstrated a healthy version release cadence and project activity. It has a community of 170 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is Glances safe to use?

The python package Glances was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 22 November-2024, at 10:36 (UTC).

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Snyk Vulnerability Scanner

Not sure how to use Glances?

Glances - An eye on your system

Summary

Project sponsorship

Requirements

Installation

PyPI: Pip, the standard way

PyPI: PipX, the alternative way

Docker: the cloudy way

GNU/Linux package

FreeBSD

macOS

Homebrew

MacPorts

Windows

Android

Source

Chef

Puppet

Ansible

Usage

Documentation

Gateway to other services

How to contribute ?

Author

License

Glances dependencies

FAQs

What is Glances?

Is Glances popular?

Is Glances well maintained?

Is Glances safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues