Open Source Infrastructure Monitoring Tools using CSS
A curated collection of the best open source tools for monitoring servers, containers, and network infrastructure. using CSS.
Unified observability for metrics, logs, traces, and more
Stars
77,397Last commit
6 hours agoLicense
AGPL-3.0
Grafana unifies metrics, logs, traces, profiles, and business data into one OpenTelemetry-native platform with AI-assisted root cause analysis and adaptive cost controls.
Open Source Alternative to:
Real-time monitoring for systems and applications
Stars
81,049Last commit
6 hours agoLicense
GPL-3.0
Powerful, efficient, and user-friendly monitoring solution for servers, containers, and applications with instant insights and alerts.
Open Source Alternative to:
Open source metrics collection, storage, and alerting
Stars
66,665Last commit
6 hours agoLicense
Apache-2.0
Pull-based monitoring system with a multi-dimensional data model, PromQL query language, built-in alerting, and a time series database built for cloud native environments.
Open Source Alternative to:
Beautiful open-source monitoring for modern infrastructure
Stars
10,960Last commit
20 hours agoLicense
AGPL-3.0
Monitor servers, websites, Docker containers, and infrastructure with real-time insights, instant alerts, and powerful analytics. Self-hosted solution.
Open Source Alternative to:
Advanced automated status page for real-time monitoring
Stars
12,354Last commit
3 days agoLicense
Apache-2.0
A highly customizable monitoring solution that provides automated status pages, extensive alerting options, and detailed testing capabilities for your services and infrastructure
Open Source Alternative to:
Full-stack observability without code changes
Stars
7,977Last commit
17 hours agoLicense
Apache-2.0
Coroot simplifies system monitoring by providing metrics, logs, traces, and profiling with zero instrumentation, leveraging eBPF technology.
Open Source Alternative to:
Auto-generated network diagrams that stay current
Stars
5,888Last commit
23 hours agoLicense
AGPL-3.0
Discovers your network via SNMP, LLDP, and ARP, then builds and maintains L2/L3 topology diagrams, host inventories, and service dependency maps automatically.
Open Source Alternative to:
Enterprise monitoring for networks, apps, and infrastructure
Stars
6,485Last commit
6 hours agoLicense
AGPL-3.0
Monitors networks, servers, cloud services, IoT, and OT environments with no per-device licensing fees, available self-hosted or as a managed SaaS platform.
Open Source Alternative to:
Complete IT infrastructure monitoring made simple
Stars
Stars growing over the last 30 days2,603Last commit
7 hours agoLicense
GPL-2.0
Monitor your entire IT infrastructure with 2,000+ plugins, automated discovery, and scalable architecture. Open source and enterprise solutions available.
Open Source Alternative to:
Complete infrastructure monitoring with 25+ years of expertise
Stars
2,059Last commit
2 months agoLicense
GPL-2.0
Free open source IT monitoring solution for servers, networks, and applications. Trusted by 1M+ users worldwide with powerful alerting and enterprise-grade features.
Open Source Alternative to:
Self-hosted uptime monitoring you own and control
Stars
1,198Last commit
6 hours agoLicense
MIT
Open-source uptime monitoring solution with real-time alerts, status pages, and comprehensive checks for websites, APIs, databases, and services.
Open Source Alternative to:
AI-powered root cause analysis for on-call alerts, self-hosted and air-gapped
Stars
42Last commit
1 month agoLicense
Apache-2.0
Receive alerts from Grafana, Datadog, and Prometheus with AI-generated root cause analysis. Self-hosted on Kubernetes, fully air-gapped capable, Apache 2.0 licensed.
Open Source Alternative to:
Complete website health monitoring and security scanning
Stars
16Last commit
5 months agoLicense
Unknown
Monitor website uptime, detect security vulnerabilities, find broken links, and simulate user flows. Get instant alerts when issues arise. Free tier available.
Open Source Alternative to:
CodeRabbit – The leading AI Code Review platform. Ship better quality code in 50% less time, with 90% fewer bugs.
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