Giskard vs DeepEval
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Giskard
Open-source LLM red teaming, now with an EU guardrail layer.
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DeepEval
Pytest-style unit testing for LLM outputs, 50+ metrics, Apache 2.0
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| RECATOOLS Score | 7.8 / 10 | 8 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Freemium | Open Source |
| Free tier | Full open-source Python library (Apache 2.0), free forever, no usage caps | — |
| Paid from | Enterprise Hub: custom pricing (contact sales); no public per-seat rate | — |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | Thousands of developers (OSS); enterprise clients incl. AXA, BNP Paribas, Michelin | — |
| Founded | 2021 | — |
| Maker | Giskard AI (independent) | — |
| Verdict | Giskard's free, Apache 2.0 scanner (5,200+ GitHub stars) covers 50+ adversarial attack types mapped to OWASP, MITRE ATLAS and NIST — genuinely rare generosity in AI security tooling, where most competitors gate everythin... |
DeepEval's whole pitch is that evaluating an LLM shouldn't require learning a new tool — if your team already writes pytest, you already know how to write a DeepEval test. That framing, plus Apache 2.0 licensing with no... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.