truera/trulens

Evaluation and Tracking for LLM Experiments and AI Agents

74
/ 100
Verified

Provides stack-agnostic instrumentation for tracing LLM application execution paths and custom feedback functions (e.g., RAG Triad evaluations) that run in-process alongside your app. Integrates with LangChain, LlamaIndex, and other frameworks through a unified API, persisting experiment runs and metrics to a backend for comparison and iteration via a web dashboard.

3,160 stars. Actively maintained with 10 commits in the last 30 days. Available on PyPI.

Maintenance 20 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 19 / 25

How are scores calculated?

Stars

3,160

Forks

251

Language

Python

License

MIT

Category

agent-observability-debugging

Last pushed

Mar 10, 2026

Commits (30d)

10

Dependencies

5

GitHub PyPI
Agent Observability Debugging · 117 agents

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