Braintrust vs Ragas
A side-by-side comparison of Braintrust and Ragas, two Eval tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Braintrust | Ragas |
|---|---|---|
| Category | Eval | Eval |
| Pricing (differs) | FREEMIUM | FREE |
| License (differs) | Proprietary | Open source |
| Deployment (differs) | Cloud | — |
| Platforms (differs) | Web, API | CLI, API |
| Model support | BYO key / model | BYO key / model |
| Vendor (differs) | Braintrust | Exploding Gradients |
| Capabilities (differs) |
|
|
The honest brief
Braintrust
Eval-first: prompts are versioned objects and CI scorers block a merge when quality regresses.
- Eval workflow as the primary interface
- CI scorers block merges on regression
- Dataset versioning + OTel tracing
- Generous free tier
- Closed-source SaaS
- Self-hosting needs Enterprise contract
- Overkill for tiny single-file eval needs
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
When to pick which
Across the signals we compare, Braintrust and Ragas differ on pricing, license, and platforms:
- Pricing
- FREEMIUM · FREE
- License
- Proprietary · Open source
- Platforms
- Web, API · CLI, API
Their capability lists differ in recorded depth — compare the full lists above before deciding.