Confident AI
DeepEval-powered LLM evaluation platform to test, benchmark, and safeguard apps
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Systematically evaluate, track, and improve your LLM applications
TruLens provides fine‑grained, stack‑agnostic instrumentation and comprehensive evaluations for LLM apps, helping you identify failure modes, compare versions, and iterate confidently.
When teams consider TruLens, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
RAG pipeline benchmarking
Identify which retriever‑model combination yields highest relevance and factuality scores
Prompt iteration analysis
Quantify how changes in prompt wording affect helpfulness and hallucination rates across model versions
Continuous model drift monitoring
Track evaluation metrics over deployments to detect performance degradation early
Agent behavior auditing
Evaluate AI agents against honesty and safety criteria, exposing unsafe decision paths
Run `pip install trulens` in your Python environment.
Yes, its instrumentation is stack‑agnostic and works with OpenAI, Anthropic, Hugging Face, and others.
After instrumenting your app with TruLens, the UI can be launched with a single command to explore runs.
You can define your own feedback functions in Python and plug them into the evaluation pipeline.
TruLens is released under the MIT license.
Project at a glance
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