Iris vs Promptfoo
A side-by-side comparison of Iris and Promptfoo, two Eval tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
The honest brief
Iris
MCP-native: every output through the protocol is scored automatically with no SDK or instrumentation, rather than wiring evals into your code.
- No SDK or instrumentation to add
- Free self-host, free cloud tier
- Trace logging and LLM-as-judge scoring
- PII, injection, and cost checks
- Newer, niche MCP-focused tool
- Best fit for MCP-based agents
- Smaller ecosystem than SDK evals
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