Maple

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 map surfaces bottlenecks, and an AI/MCP integration lets you query your telemetry in natural language. Flat per-GB pricing, no proprietary agents, and you can read the source.

FEATURES

• 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.