# Maple — Open-source observability for traces, logs, and metrics

Open-source observability platform built on OpenTelemetry. Collect, visualize, and analyze distributed traces, logs, and metrics from your services with AI-powered diagnostics.

Open-source observability. Built for you. Native to AI. Traces, logs, and metrics over OpenTelemetry, powered by ClickHouse. Sub-second queries across billions of rows — or let your AI agent run them for you.

## What Maple is

- **What is Maple?** 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.
- **Is Maple open source?** Maple's source is on GitHub under the Functional Source License (FSL-1.1) — you can read every line, fork it, and self-host. Each release becomes Apache 2.0 two years after publication. You own your data and your instrumentation, and you can run Maple yourself or use the hosted version.
- **Is Maple OpenTelemetry-native?** Yes. Maple is built on OpenTelemetry — the open, vendor-neutral standard for telemetry — so there are no proprietary agents and no lock-in. If you already emit OpenTelemetry data, you can point it at Maple without re-instrumenting your code.
- **How is Maple priced?** The Startup plan is $39/month with 100 GB of logs, traces, and metrics each included, then a flat $0.30 per GB. No per-host or per-seat fees. Enterprise plans add custom volume and retention.
- **Does Maple work with AI agents?** Yes. Maple ships a first-class MCP (Model Context Protocol) server, so compatible AI agents can list services, search traces, find errors, and propose fixes directly against your telemetry.
- **Can I self-host Maple?** Yes. Maple's source is available under FSL-1.1 (each release becomes Apache 2.0 after two years), and the project can be self-hosted on your own infrastructure. The cloud plan is available for teams that prefer a managed experience.

## Three steps to observability

1. **Instrument** — Add the OpenTelemetry SDK to your app. Auto-instrumentation handles the rest.
2. **Send** — Point the OTLP exporter at Maple. Traces, logs, and metrics flow automatically.
3. **Visualize** — Open the dashboard and start exploring. Everything is queryable, filterable, and fast.

## Features

- [Distributed Tracing](https://maple.dev/features/distributed-tracing.md) — Follow every request across services
- [Browser Sessions](https://maple.dev/features/browser-sessions.md) — Replay sessions, jump to the trace
- [Log Management](https://maple.dev/features/log-management.md) — Search and correlate logs instantly
- [Metrics & Dashboards](https://maple.dev/features/metrics-dashboards.md) — Track every signal that matters
- [Service Catalog & Map](https://maple.dev/features/service-catalog.md) — All your services at a glance
- [Error Tracking](https://maple.dev/features/error-tracking.md) — Find and fix errors faster
- [Alerting](https://maple.dev/features/alerts.md) — Alert on any signal, routed where you work
- [AI & MCP Integration](https://maple.dev/features/ai-mcp-integration.md) — AI-powered diagnostics via MCP
- [Kubernetes Monitoring](https://maple.dev/features/kubernetes-monitoring.md) — Pods, nodes, and workloads alongside spans

## Use cases

- [API Performance](https://maple.dev/use-cases/api-performance.md) — Find and fix slow endpoints
- [E-Commerce Observability](https://maple.dev/use-cases/ecommerce-observability.md) — Catch checkout failures before customers do
- [Microservices Debugging](https://maple.dev/use-cases/microservices-debugging.md) — Trace latency across service boundaries

## For developers and agents

- [Documentation](https://maple.dev/docs.md) · [single-file docs](https://maple.dev/llms-full.txt)
- [Pricing](https://maple.dev/pricing.md)
- [Maple API](https://maple.dev/docs/api.md) — base URL `https://api.maple.dev`, [interactive reference](https://api.maple.dev/v2/docs), [OpenAPI 3.1](https://maple.dev/openapi.json)
- [MCP server](https://maple.dev/docs/mcp.md) — `https://api.maple.dev/mcp` (Streamable HTTP), [manifest](https://maple.dev/.well-known/mcp.json)
- [Command line tool](https://maple.dev/docs/local-mode/cli-reference.md) — `curl -fsSL https://maple.dev/cli/install | sh` or `brew install Makisuo/tap/maple`
- [Source code](https://github.com/MapleTechLabs/maple)
- [Site index for agents](https://maple.dev/llms.txt)

## Company

- [About Maple](https://maple.dev/about.md)
- [Contact](https://maple.dev/contact.md)
- [Privacy](https://maple.dev/privacy) · [Terms](https://maple.dev/terms)