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unify OpenTelemetry telemetry with ClickHouse and AI-assisted investigation

OSS scale score Not calculatedOSS health 100
About these scores

OSS scale score is an unbounded metric that log-compresses and weights Stars, Watchers, Forks, and Contributors. Discovery score is the current OSS scale score minus the score at discovery. Update pace is commits in the last 30 days, growth momentum is the OSS scale score difference within the recent observation window, and OSS health is a 0–100 rating based on available recency, Community Health, and release data.

Stars
1,800
Primary language
TypeScript
License
Not determined
Repository last updated
Sep 30, 2026
On this page

Overview

Maple ingests traces, logs, and metrics through OTLP and combines dashboards, alerts, session replay, and AI-assisted investigation. It also exposes telemetry through an MCP server for coding agents.

Features and best fit

Based on official documentation; not hands-on tested · Content checked:

Key features

Ingest traces, logs, and metrics over OTLP

Any OpenTelemetry exporter or collector can send telemetry without a proprietary agent.

Sources: [2]

Query telemetry through MCP and AI investigations

Coding agents such as Claude Code and Cursor can query telemetry through the hosted MCP endpoint.

Sources: [2]

Best fit

Fits teams combining observability and AI troubleshooting

Traces, logs, metrics, errors, alerts, and replay share one investigation surface.

Sources: [2]

Before adoption

The self-hosted stack contains multiple services

The repository includes web, API, AI, ingest, alerting, CLI, and related components, so deployment requires understanding the full stack.

Sources: [2]

GitHub reports NOASSERTION for the license

Verify the repository's actual license files and project terms before adoption or redistribution.

Sources: [1]

Official sources

  1. [1]MapleTechLabs/maple repository(2026-09-30)
  2. [2]Maple README(2026-09-30)
  3. [3]Maple v0.0.22 release(2026-09-30)
Supplemental curator note

Maple is an OpenTelemetry-native observability platform combining traces, logs, metrics, replay, alerting, and AI-assisted investigation. GitHub currently reports the repository license as NOASSERTION, so license terms should be verified directly before adoption.

Try it in 3 steps

  1. 1

    Get the source

    git clone --depth 1 https://github.com/MapleTechLabs/maple.git
  2. 2

    Enter the repository

    cd maple
  3. 3

    Check the official steps

    Continue with the commands in the README Installation, Quick Start, or Getting Started section.

    find . -maxdepth 1 -iname 'README*' -exec sed -n '1,220p' {} \; -quit
Check the official README

Growth

Growth trends · Last 30 days

1,800 Stars

Trend data is still being collected.

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GitHub data

GitHub dataView detailed GitHub data
View on GitHub
Stars
1,800
Forks
120
Watchers
4
Open issues
40
Owner type
Organization
Primary language
TypeScript
License
Not determined
Repository last updated
Sep 30, 2026
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