Open Source Monitoring Apps

Discover best open source monitoring tools to track system health, performance & infrastructure. Ensure uptime, identify bottlenecks & improve reliability.

59 apps available

Apps in Monitoring

Go
98%
Apache 2.0

Nightingale

Monitoring

13,315

Open-source alerting engine that connects to any time-series or log data source and routes alarms to 20+ notification channels with AI-assisted triage.

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95
Repo Health
77
Technical
67
Dependency
Built with
Go 98%
Updated 1 weeks ago
Go
47%
GPL 3.0

Netdata

Devops · Monitoring

80,675

Real-time per-second metrics, ML-powered anomaly detection, and zero-config observability for any infrastructure.

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93
Repo Health
86
Technical
70
Dependency
Built with
Go 47%
C 30%
Rust 14%
Updated 6 days ago
Go
73%
GPL 3.0

1Panel

Devops · Hosting Control Panel · Monitoring

37,044

The only open-source VPS control panel with native AI agent runtime — deploy websites, Docker stacks, and local LLMs from one web interface.

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91
Repo Health
76
Technical
67
Dependency
Built with
Go 73%
Vue 27%
Updated 5 days ago
Go
90%
AGPL 3.0

Pyroscope

Developer Tools · Devops · Monitoring

11,678

An open-source, horizontally scalable continuous profiling platform that pinpoints CPU, memory, and I/O bottlenecks down to the exact line of code, built by Grafana Labs alongside Loki, Tempo, and Mimir.

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91
Repo Health
89
Technical
65
Dependency
Built with
Go 90%
Updated 1 weeks ago
Go
69%
MIT

Gotify

Developer Tools · Monitoring

15,993

A lightweight, self-hosted push notification server that sends and receives messages in real time over WebSocket, with a sleek web UI and a native Go plugin system.

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89
Repo Health
74
Technical
70
Dependency
Built with
Go 69%
TypeScript 30%
Updated 1 weeks ago
Go
64%
Apache 2.0

Coroot

Analytics · Monitoring

7,940

eBPF-powered observability with AI root cause analysis — zero code changes required, full-stack visibility out of the box.

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88
Repo Health
80
Technical
66
Dependency
Built with
Go 64%
Vue 34%
Updated 1 weeks ago
Go
64%
MIT

hoop

Monitoring · Security

823

A wire-protocol gateway that enforces data masking, command blocking, approval workflows, and full session recording for engineers and AI agents accessing production infrastructure.

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85
Repo Health
80
Technical
64
Dependency
Built with
Go 64%
Clojure 17%
JavaScript 11%
Updated 1 weeks ago
HTML
85%
Apache 2.0

Elementary

Analytics · Data Engineering · Monitoring

2,414

The dbt-native data observability CLI that turns your existing dbt tests and metadata into anomaly detection, lineage graphs, and Slack/Teams alerts — no separate platform required.

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81
Repo Health
75
Technical
79
Dependency
Built with
HTML 85%
Python 15%
Updated 6 days ago
Go
91%
Apache 2.0

Gatus

Devops · Monitoring

12,186

Developer-oriented health dashboard with active endpoint probing, multi-protocol checks, and 40+ alerting integrations so you know about failures before your users do.

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79
Repo Health
84
Technical
75
Dependency
Built with
Go 91%
Updated 1 weeks ago
Go
54%
AGPL 3.0

Uptrace

Devops · Monitoring

4,293

Unified open-source APM that collects OpenTelemetry traces, metrics, and logs into a single self-hosted platform backed by ClickHouse.

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58
Repo Health
70
Technical
65
Dependency
Built with
Go 54%
Vue 34%
Updated 1 months ago
Go
85%
MIT

Statusnook

Monitoring

985

Deploy a self-hosted status page with endpoint monitoring and automatic HTTPS in minutes, with no external dependencies required.

View details
35
Repo Health
49
Technical
74
Dependency
Built with
Go 85%
CSS 10%
Updated 1 years ago

About Monitoring

Effective monitoring is crucial for maintaining reliable and performant software. These applications provide real-time visibility into the behavior of your systems, allowing you to quickly identify and resolve issues before they impact users. They move beyond simple uptime checks, offering deep insights into resource utilization, application response times, and error rates.

Typical features include alerting based on customizable thresholds, dashboarding for data visualization, and log aggregation to centralize troubleshooting information. Many solutions also feature historical data analysis for trend identification and capacity planning, as well as integrations with other development tools. Common data sources include CPU usage, memory consumption, network traffic, disk I/O, and application-specific metrics.

This category matters because it directly addresses critical problems like downtime, performance bottlenecks, and security threats. By proactively detecting anomalies, monitoring tools enable faster mean time to resolution (MTTR) and improved user experience. Automated alerts reduce the need for manual intervention, freeing up developers to focus on building features instead of firefighting. Robust monitoring is also essential for compliance and auditing in regulated industries.

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