observability / monitoring / incident management
Self-hosted all-in-one platform for uptime monitoring, incident response, on-call scheduling, status pages, logs, traces, metrics, and APM.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose when you need OpenTelemetry-native tracing/metrics/logs in a lightweight Go backend and can use separate tools for status pages and on-call.
Open source APM: OpenTelemetry traces, metrics, and logs
Choose when you want a highly efficient Rust-based log/metrics/trace store on a data lake and don't need the full status-page/incident workflow.
Parseable is an open source, unified infrastructure observability platform built in Rust on a data lake architecture. It tracks logs, metrics, traces, and events across apps, agents, and systems, reducing storage costs by up to 90% through columnar telemetry compression.
Choose when you want status pages declared as code with uptime/API monitoring, without needing logs, APM, or on-call in the same tool.
🫖 Status page with uptime monitoring & API monitoring as code 🫖
Choose when you want a lightweight, config-driven status page with monitoring and alerting, and no need for logs, APM, or on-call scheduling.
Automated developer-oriented status page with alerting and incident support
Choose when you prefer a full OpenTelemetry-native APM/log/metrics platform and are willing to handle status pages and incident response with separate tools.
SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log management, infra monitoring, etc. Combined with SigNoz MCP and a native AI teammate (in SigNoz Cloud) it helps you build more resilient apps.
Choose when you need agentless, high-frequency infrastructure monitoring and alerting with a lightweight Java server, without status pages or APM/logs.
An AI-powered next-generation open source real-time observability system.
Choose when you want a beautiful, self-hosted status page that reports incidents without the rest of the observability stack.
Stunning status pages, batteries included!
Choose when you want a self-hosted lightweight HTTP monitor/status page and can accept an unmaintained codebase with no recent pushes.
Self-hosted, easily-deployable monitoring and alerts service - like a lightweight PagerDuty
Choose when you want a polished self-hosted dashboard for server hardware, uptime, and incidents, without logs/traces/APM.
Checkmate is an open-source, self-hosted tool designed to track and monitor server hardware, uptime, response times, and incidents in real-time with beautiful visualizations. Don't be shy, join here: https://discord.com/invite/NAb6H3UTjK :)
Choose when you need a high-performance, storage-efficient logs/metrics/traces platform and can leave status pages and incident management to other tools.
Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.
Choose when you want session replay unified with logs, metrics, traces, and errors, and can manage incidents with separate software.
Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by ClickHouse and OpenTelemetry.
Choose when log/metrics storage efficiency is paramount and you want a lightweight observability backend, though you will still need uptime/status/incident handling.
100x Efficient Log Management than Splunk :rocket: Reduce your observability cost by 90%
These projects were analysed and named oneuptime among their alternatives. The relationship is not symmetric — how oneuptime rates them is a separate judgement, made when oneuptime is analysed in its own right.
calls oneuptime “Choose if you want monitoring, status pages, and incident management bundled with observability, rather than a pure analytics backend.”
Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.
calls oneuptime “Use OneUptime when you want a TypeScript-based all-in-one observability platform with integrated status pages and incident management rather than a Java deployment.”
An AI-powered next-generation open source real-time observability system.
calls oneuptime “Choose it when you want status page plus monitors bundled with logs, traces and on-call, accepting a much heavier self-hosted stack.”
Status Page for monitoring your websites and applications with beautiful graphs, analytics, and plugins. Run on any type of environment.
calls oneuptime “Choose when you need a full observability platform with incident management, not just uptime checks.”
A fancy self-hosted monitoring tool
calls oneuptime “Choose when you need incident and on-call workflows in a full TypeScript observability stack, accepting a heavier multi-service deployment.”
⬆️ GitHub Actions uptime monitor & status page by @AnandChowdhary
calls oneuptime “Choose when you need status pages and on-call/incident management bundled with monitoring in a TypeScript stack.”
Nightingale is to monitoring and alerting what Grafana is to visualization.
calls oneuptime “choose when incidents, on-call, and status pages should live in one platform with built-in reporting”
Automated developer-oriented status page with alerting and incident support
calls oneuptime “Choose if you need a broader observability platform (logs, traces, incidents) and prefer a TypeScript stack over Nezha's lightweight Go agent.”
:trollface: Self-hosted, lightweight server and website monitoring and O&M tool
calls oneuptime “Use when you need an all-in-one status page, incident management, and observability suite despite the heavier multi-service deployment.”
🫖 Status page with uptime monitoring & API monitoring as code 🫖