Okareo vs Promptfoo
A side-by-side comparison of Okareo and Promptfoo, two Eval tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Okareo | Promptfoo |
|---|---|---|
| Category | Eval | Eval |
| Pricing (differs) | FREEMIUM | FREE |
| License (differs) | Proprietary | Open source |
| Deployment (differs) | Cloud | — |
| Platforms (differs) | Web, API, CLI | CLI, macOS, Windows, Linux |
| Model support (differs) | Model-agnostic | BYO key / model |
| Vendor (differs) | Okareo | Promptfoo |
The honest brief
Okareo
Tests agents with personality-driven synthetic users across voice and text in 120+ languages — finding multi-turn edge cases, not just scoring single responses.
- Personality-rich synthetic-user Drivers
- Evaluates models, RAG, and agents
- CI/CD release gating on quality
- Production failures become test cases
- One workspace for the full eval loop
- Younger than general eval platforms
- Simulation tuning has a learning curve
- Pricing not fully public
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