Ragas vs TruLens
A side-by-side comparison of Ragas and TruLens, two Eval tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Ragas | TruLens |
|---|---|---|
| Category | Eval | Eval |
| Pricing | FREE | FREE |
| License | Open source | Open source |
| Deployment | — | — |
| Platforms | CLI, API | CLI, API |
| Model support | BYO key / model | BYO key / model |
| Vendor (differs) | Exploding Gradients | Snowflake |
| Capabilities (differs) |
|
|
The honest brief
Ragas
Popularized reference-free RAG metrics — faithfulness, context precision — scored by an LLM judge, so you evaluate without gold answers.
- Faithfulness & relevancy metrics
- Knowledge-graph synthetic test sets
- LLM-as-judge scoring
- Integrates LangChain, LlamaIndex, CI
- LLM-judge scores add cost/variance
- Python library, no hosted UI
- Focused on RAG, narrower scope
TruLens
Pioneered the RAG Triad — context relevance, groundedness, answer relevance — as feedback functions you attach to score and trace any LLM app.
- OpenTelemetry tracing, runs locally
- RAG Triad feedback functions built in
- Provider-agnostic LLM-as-judge metrics
- Leaderboard to compare app versions
- Python library, no hosted SaaS
- Smaller community than LangSmith/Langfuse
- Setup to wire feedback providers
When to pick which
Both cover LLM evaluation.
Pick TruLens if you need LLM observability.
- LLM observability (secondary capability)