Maple is an observability platform for traces, logs, and metrics, built on OpenTelemetry and backed by ClickHouse. It lets you collect, visualize, and query telemetry from distributed systems in real time — or let an AI agent do it for you over MCP.
Maple is an open-source observability platform built natively on OpenTelemetry. It unifies distributed tracing, log management, metrics dashboards, error tracking, browser session replay, and alerting in a single interface. Logs correlate to traces automatically, a live service m...

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Key features
Capabilities that define this tool
Unified Observability
Combines logs, metrics, traces, and error tracking into one simple dashboard.
Automatic Correlation
Links your logs and traces together automatically so you can find problems faster.
Service Mapping
Shows you a live map of your system to easily spot performance bottlenecks.
AI Querying
Lets you ask questions about your data using plain natural language.
Session Replay
Records browser sessions so you can see exactly what your users experienced.
Open Standards
Uses OpenTelemetry instead of proprietary agents so you aren't locked in.
Transparent Pricing
Charges a simple, flat rate based on data volume.
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