Giskard vs Promptfoo
A side-by-side comparison of Giskard and Promptfoo, two Eval tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Giskard | Promptfoo |
|---|---|---|
| Category | Eval | Eval |
| Pricing (differs) | FREEMIUM | FREE |
| License (differs) | Open core | Open source |
| Deployment (differs) | Hybrid | — |
| Platforms (differs) | Web, API | CLI, macOS, Windows, Linux |
| Model support (differs) | Model-agnostic | BYO key / model |
| Vendor (differs) | Giskard | Promptfoo |
| Capabilities (differs) |
|
|
The honest brief
Giskard
Its Scan auto-generates adversarial suites mapped to the OWASP LLM Top-10, framing eval as security red-teaming, not just accuracy.
- Automatic vulnerability scan
- Multi-turn red-teaming agents
- Covers LLMs, RAG apps, and ML models
- Publishes the open Phare safety benchmark
- Python-library learning curve
- Collaboration features are paid (Hub)
- Less focused on production tracing
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
When to pick which
Both cover LLM evaluation and Red-teaming.
Pick Giskard if you need AI security scanning.
- AI security scanning (primary capability)
Pick Promptfoo if you need Guardrails.
- Guardrails (secondary capability)
Promptfoo leans on LLM evaluation as a headline capability; Giskard treats it as secondary.
- LLM evaluation (primary capability)
They also differ on:
- Pricing
- FREEMIUM · FREE
- License
- Open core · Open source
- Platforms
- Web, API · CLI, macOS, Windows, Linux