mhausenblas

mhausenblas / otel.eexplorer

Public

OpenTelemetry Entity Explorer

codebase entity er-model explorer knowledge-graph
10
0
100% credibility
Found May 09, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

otel.eexplorer scans codebases for OpenTelemetry entities such as services, hosts, and processes, builds a knowledge graph of their relationships, and provides an interactive web interface for exploration and querying.

How It Works

1
🔍 Discover the Explorer

You stumble upon this helpful tool that uncovers all the monitoring pieces hidden in your project's files.

2
📥 Prepare the Tool

You follow easy instructions to set up the explorer on your computer so it's ready to use.

3
📁 Select Your Folder

You point the tool to the folder with your code, configs, and setup files.

4
🚀 Start Exploring

With one simple command, the tool scans everything and opens a beautiful web page in your browser.

5
🗺️ View the Visual Map

You see a colorful graph showing services, processes, hosts, and how they connect, with confidence colors.

6
🔍 Search and Interact

You type queries or patterns to filter, zoom around, and click for details on any piece.

7
🔄 Watch Live Updates

As you tweak files, the map refreshes automatically, keeping everything current.

✅ Understand Your Setup

You now have a complete, interactive overview of your project's monitoring world, making it easy to navigate and improve.

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Star Growth

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AI-Generated Review

What is otel.eexplorer?

otel.eexplorer is a Rust CLI tool that recursively scans your codebase for OpenTelemetry entities—like services, hosts, k8s pods, processes, and collectors—across languages including Java, Python, Rust, C#, Go, JS/TS, and Ruby. It extracts attributes from code, configs (YAML/JSON/TOML/.env), docs, and backends like Datadog or New Relic, then builds a knowledge graph and spins up a local web server at http://localhost:7890 with an interactive UI for querying and visualizing them. Run `oe serve --dir your-repo --open` for live file watching via WebSocket, or `oe scan` for JSON output—perfect for auditing OTel instrumentation without grep chains.

Why is it gaining traction?

It stands out with a browser-based GUI featuring a regex/SPARQL query bar, expandable entity tree linking to semconv docs, Cytoscape DAG for hierarchy (color-coded by high/medium/low confidence), and file viewers with line highlights. Live reloads on changes beat static tools, and Turtle RDF export integrates with semantic tools. Polyglot support covers github opentelemetry java/python/rust receivers, contrib instrumentation, collector configs, even entity framework core patterns in .cs files.

Who should use this?

DevOps engineers mapping OTel spans in k8s/microservices fleets, platform teams verifying collector pipelines and github actions instrumentation, or consultants reverse-engineering client repos with mixed github opentelemetry dotnet/c#/python setups. Ideal for pre-prod audits where you need to spot missing service.name or OTEL_* env vars fast.

Verdict

Grab it if you're deep in OTel troubleshooting—solid docs, example multi-lang repo, and zero deps post-build make it dead simple to try. At 10 stars and 1.0% credibility, it's raw early-stage Rust (no tests visible), so script around `oe scan` for production; watch for contrib growth.

(198 words)

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