Promptfoo vs Ragas
A side-by-side comparison of Promptfoo and Ragas, two Eval tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Promptfoo | Ragas |
|---|---|---|
| Category | Eval | Eval |
| Pricing | FREE | FREE |
| License | Open source | Open source |
| Deployment | — | — |
| Platforms (differs) | CLI, macOS, Windows, Linux | CLI, API |
| Model support | BYO key / model | BYO key / model |
| Vendor (differs) | Promptfoo | Exploding Gradients |
| Capabilities (differs) |
|
|
The honest brief
Promptfoo
Define evals in plain YAML and run one goldset across models in CI — a prompt regression fails the build like any other test.
- YAML-driven, version-controllable evals
- Runs in CI, model-agnostic
- Goldsets and rubric scoring
- Also does red-teaming/security scans
- CLI-first, less of a hosted UI
- Teams may want managed dashboards
- Config sprawl on large eval suites
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, Promptfoo and Ragas differ on platforms:
- Platforms
- CLI, macOS, Windows, Linux · CLI, API
Their capability lists differ in recorded depth — compare the full lists above before deciding.