MapleTechLabs/maple
OpenTelemetry observability platform observed · 2026-08-28
Health v2 · maintenance only
82/100
- Activity 99
- Release rhythm 99
- Longevity 14
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0.0
- age_days: 199
- days_rel: 9
- days_push: 7
- n_releases_24m: 19
Adoption not part of the score
1727 stars · 111 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Maple is an open-source observability platform for traces, logs, and metrics built on OpenTelemetry and ClickHouse, with dashboards, service maps, error tracking, alerting, and Kubernetes monitoring. It ships as a self-hostable monorepo (SPA frontend, Effect-based API, OTLP ingest gateway), a single local binary, a managed cloud offering, and a first-class MCP server for AI-driven diagnostics.
Use cases
- self-host an OpenTelemetry observability platform for traces logs and metrics
- trace a request end to end across microservices
- search and correlate logs with traces by trace id
- set up alerting on error rate and latency percentiles routed to Slack or PagerDuty
- monitor Kubernetes clusters and map slow spans to exact pods
- let an AI agent query observability data via MCP
- track and group exceptions with the span that caused them
- build metrics dashboards with p99 latency and error rate charts
When to choose
- you want a Datadog alternative built natively on OpenTelemetry and ClickHouse
- you need traces, logs, metrics, and error tracking in one correlated tool
- you want AI/MCP-driven incident diagnostics with read-only agent access
- you prefer self-hosting via a single binary or Docker, or a usage-based cloud plan
When to avoid
- you only need simple uptime checks or synthetic monitoring
- you require a long-established ecosystem with extensive integrations and enterprise support
- you need a fully permissive OSS license — the repo license is non-standard (NOASSERTION)
Facets
application · maturity active
monitoring tracing alerting logging mcp search-engine analytics monitoring self-hosted developer-tools cloud-computing self-hosted cloud cli opentelemetry clickhouse otlp observability-platform apm distributed-tracing error-tracking kubernetes-monitoring mcp-server monorepo bun effect-ts devops web-server docker macos ios nodejs
10 sources
- readme: https://github.com/MapleTechLabs/maple · fetched 2026-08-28 · e11cfe5ac615
- homepage: https://maple.dev · fetched 2026-08-29 · 56e53d6aac87
- site_page: https://maple.dev/docs · fetched 2026-08-29 · b92946206878
- site_page: https://maple.dev/features/metrics-dashboards · fetched 2026-08-29 · ef012ecf5c3b
- site_page: https://maple.dev/features/service-catalog · fetched 2026-08-29 · ff4d9e3ecbd3
- site_page: https://maple.dev/features/error-tracking · fetched 2026-08-29 · 115fcaaa44f5
- site_page: https://maple.dev/features/alerts · fetched 2026-08-29 · da7b1047c59d
- site_page: https://maple.dev/features/ai-mcp-integration · fetched 2026-08-29 · 226c267a4957
- site_page: https://maple.dev/features/kubernetes-monitoring · fetched 2026-08-29 · f71d950ed345
- site_page: https://maple.dev/pricing · fetched 2026-08-29 · 3dd37d34fdca
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| MapleTechLabs/maple | main | 82 |
For agents
markdown · JSON · MCP: product_card(name="MapleTechLabs/maple")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem