userd VS Netdata

Compare userd vs Netdata and see what are their differences.

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userd Netdata
1 118
9 68,153
- 0.5%
5.4 10.0
3 months ago 5 days ago
Go C
GNU General Public License v3.0 only GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

userd

Posts with mentions or reviews of userd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-08.

Netdata

Posts with mentions or reviews of Netdata. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-05.

What are some alternatives?

When comparing userd and Netdata you can also consider the following projects:

GOdin - GOdin is an open source monitoring server and agent for linux systems. Its main feature is currently monitoring the state of installed packages. It is intended to use with visualising software (ex. Grafana).

Zabbix - Real-time monitoring of IT components and services, such as networks, servers, VMs, applications and the cloud.

ansible-role-security - Ansible Role - Security

cadvisor - Analyzes resource usage and performance characteristics of running containers.

LibreNMS - Community-based GPL-licensed network monitoring system

ElastiFlow - Network flow analytics (Netflow, sFlow and IPFIX) with the Elastic Stack

Munin - Main repository for munin master / node / plugins

Nagios - Nagios Core

node_exporter - Exporter for machine metrics

Performance Co-Pilot - Performance Co-Pilot

truenas-influxdb-grafana - TrueNAS customized dashboard using Grafana and InfluxDb time series database

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