Prompt & EvalOpen Source✦ Free Tier

Traceloop

OpenTelemetry-based LLM observability

⭐ 2,000 stars● Health 75 — ActiveApp Infrastructure
Open in Builder →Website ↗GitHub ↗

About

Open-source LLM observability using OpenTelemetry standards. Automatic instrumentation for LangChain, OpenAI, and other frameworks with zero code changes.

Choose Traceloop when…

  • •You want OpenTelemetry-native LLM observability
  • •Vendor-neutral tracing that plugs into your existing stack
  • •You need observability across many LLM providers

Builder Slot

How do you know it's working?Optional for most stacks

Tests, evals, and experiment tracking to measure and improve your AI output quality

Dev Tools
Not applicable
App Infra
Recommended
Hybrid
Optional

Other tools in this slot:

PromptFooDeepEvalRAGASVellumPromptLayerAgentaTruLensHumanloop+1 more

Stack Genome Detection

AIchitect's Genome scanner detects Traceloop in your project via these signals:

npm packages
@traceloop/node-server-sdk
pip packages
traceloop-sdkopentelemetry-sdk
env vars
TRACELOOP_API_KEY

Alternatives to consider (2)

Langfusecompare →Heliconecompare →

Pricing

✦ Free tier available
CloudUsage-based

Badge

Add to your GitHub README

Traceloop on AIchitect[![Traceloop](https://aichitect.dev/badge/tool/traceloop)](https://aichitect.dev/tool/traceloop)

Explore the full AI landscape

See how Traceloop fits into the bigger picture — browse all 207 tools and their relationships.

Explore graph →