Makisuo

Makisuo / maple

Public

OpenTelemetry observability platform

maple.dev
180
15
100% credibility
Found Feb 19, 2026 at 27 stars 7x -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
TypeScript
AI Summary

Maple is a full-stack open-source observability platform that ingests traces, metrics, and logs via OTLP for visualization and analysis in a modern web dashboard.

How It Works

1
🌐 Visit the observability dashboard site

You land on a beautiful page showing live demos of tracking app performance, errors, and data flows.

2
✨ Sign up with your email or password

Create a free account in seconds to get your personal workspace for monitoring your apps.

3
🔑 Grab your unique data receiver link

Your account gives you special secure links to send your app's traces, logs, and metrics safely.

4
Connect your apps
🔄
Update app settings

Add the links to your code or tools—no hassle, works with popular monitoring setups.

🚀
Run locally or deploy

Test instantly on your computer or push to production for live monitoring.

5
📈 Watch data light up the dashboard

See colorful graphs of requests, errors, slow spots, and service connections appear live.

6
🔍 Spot and fix issues fast

Drill into slow requests, error patterns, or service bottlenecks with easy search and charts.

🎉 Your apps run smoothly

Catch problems early, keep users happy, and scale confidently with full visibility.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 27 to 180 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is maple?

Maple is a self-hostable OpenTelemetry observability platform built in TypeScript with a Rust ingest gateway. It ingests traces, logs, and metrics via OTLP (gRPC/HTTP), supports Prometheus scraping, and delivers a web UI for service maps, flamegraphs, error analysis, and custom dashboards. Developers get a full-stack stack—query fast with SQL-like endpoints, persist dashboards in SQLite/Turso, and auth via Clerk or self-hosted root password—all deployable via docker-compose or Railway.

Why is it gaining traction?

It bundles ingest, query engine (powered by Tinybird pipes), and AI-assisted MCP tools like "diagnose service" or "find slow traces" into one monorepo, skipping the glue code hassle of piecing together collectors and backends. Bun/Turbo dev setup spins up API/web/ingest in one command; per-org ingest keys enable secure multi-tenancy without vendor lock-in. Stands out for OTLP-native apps in Java/Rust/TS, unlike fragmented maple syrup alternatives on GitHub.

Who should use this?

Backend teams instrumenting microservices with OpenTelemetry (Java/Rust libs), needing on-prem visibility for latency, errors, and Apdex without Datadog/New Relic bills. Service owners debugging production traces/logs/metrics, or ops folks scraping Prometheus endpoints for hybrid OTLP/Prom setups.

Verdict

Promising early project (18 stars, 1.0% credibility)—docs and deploy scripts are polished, tests solid, but low adoption signals immaturity. Prototype it locally if you're on OTLP; skip for mission-critical prod until more battle-tested.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.