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Network monitoring system written in Python and Django, designed to be extensible, programmable, scalable and easy to use by end users: once the system is configured, monitoring checks, alerts and metric collection happens automatically.

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openwisp-monitoring

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Need a quick overview? Try the OpenWISP Demo.

OpenWISP Monitoring is a network monitoring system written in Python and Django, designed to be extensible, programmable, scalable and easy to use by end users: once the system is configured, monitoring checks, alerts and metric collection happens automatically.

OpenWISP is not only an application designed for end users, but can also be used as a framework on which custom network automation solutions can be built on top of its building blocks.

Other popular building blocks that are part of the OpenWISP ecosystem are:

  • openwisp-controller: network and WiFi controller: provisioning, configuration management, x509 PKI management and more; works on OpenWrt, but designed to work also on other systems.
  • openwisp-network-topology: provides way to collect and visualize network topology data from dynamic mesh routing daemons or other network software (e.g.: OpenVPN); it can be used in conjunction with openwisp-monitoring to get a better idea of the state of the network
  • openwisp-firmware-upgrader: automated firmware upgrades (single device or mass network upgrades)
  • openwisp-radius: based on FreeRADIUS, allows to implement network access authentication systems like 802.1x WPA2 Enterprise, captive portal authentication, Hotspot 2.0 (802.11u)
  • openwisp-ipam: it allows to manage the IP address space of networks

For a more complete overview of the OpenWISP modules and architecture, see the OpenWISP Architecture Overview.

https://github.com/openwisp/openwisp-monitoring/raw/docs/docs/dashboard.png

For a complete overview of features, refer to the Monitoring: Features section of the OpenWISP documentation.

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Contributing

Please refer to the OpenWISP contributing guidelines.

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Network monitoring system written in Python and Django, designed to be extensible, programmable, scalable and easy to use by end users: once the system is configured, monitoring checks, alerts and metric collection happens automatically.

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