Head-to-head · LLM Evaluation Tools
DeepEval vs Giskard
DeepEval leads on 0 checks, Giskard on 0, and 7 are even. Who comes out ahead on the 7 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreDeepEval · 9.4/10
- Free planboth
- Most featuresDeepEval · 6 of 6
DeepEval scores higher on our rubric for llm evaluation tools: 9.4 against 8.6 out of 10; our editors rank them #1 and #8.
DeepEval is the better fit for teams wanting broad open-source LLM evaluation. Giskard is the better fit for open-source RAG and safety evaluation teams.
- DeepEval fits best
Teams wanting broad open-source LLM evaluation
- Giskard fits best
Open-source RAG and safety evaluation teams
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Side by side
| Feature | DeepEval 9.4/10 Visit ↗ | Giskard 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 8.6 |
| Ranking | #1 in LLM Evaluation Tools | #8 in LLM Evaluation Tools |
| Best for | Teams wanting broad open-source LLM evaluation | Open-source RAG and safety evaluation teams |
| Pricing model | Free | Free plan + paid |
| Starting price | Free | — |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Windows, macOS, Linux | Web |
| Support | Community, Docs · 24/7 | Community, Docs |
| Compliance | SOC 2, GDPR, HIPAA, SSO/SAML | SOC 2, GDPR, HIPAA, SSO/SAML, 2FA |
| Built for | Solo, Small business, Mid-market, Enterprise | Solo, Small business, Enterprise |
| Features DeepEval 6/6 · Giskard 5/6 | ||
| Custom metrics | ✓ | ✓ |
| LLM-as-a-judge | ✓ | ✓ |
| Safety evaluations | ✓ | ✓ |
| Human review workflows | ✓ | ✓ |
| Prompt versioning | ✓ (best) | Not checked yet |
| CI/CD integration | ✓ | ✓ |
| Specs | ||
| Deployment options | Both | Both |
| Our review | ||
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| Our verdict | DeepEval is an open-source framework for evaluating LLM applications locally in Python and TypeScript. It covers end-to-end, trajectory-based, and component-level evaluations for agents, RAG pipelines, chatbots, MCP systems, and other… Read the review → |
Giskard provides open-source and enterprise tools for evaluating, testing, and red-teaming LLM agents and AI applications. It is suited to teams building RAG systems, safety evaluation programs, and production AI workflows that need more… Read the review → |
Strengths and trade-offs
DeepEval — where it wins
- 50+ ready-to-use metrics plus custom evaluation criteria
- Supports safety, tracing, synthetic data, prompts, and CI/CD
- Integrates with OpenAI, LangChain, CrewAI, LlamaIndex, and more
Where it doesn't
- Advanced collaboration features require the optional cloud platform
- No-code workflows and live-traffic evaluations start with Starter
- Enterprise controls such as HIPAA and on-premises deployment are tiered
Giskard — where it wins
- Open-source Python library supports local testing and deployment
- Combines RAG checks, vulnerability scanning, and behavioral evaluations
- Supports custom metrics, human review, scheduling, and CI/CD workflows
Where it doesn't
- Free vulnerability scans and RAG reports are basic
- Advanced security and review features are reserved for Enterprise
- The feature set may exceed the needs of teams seeking simple evaluations
- DeepEval9.4/10 · Free plan
A broad open-source toolkit for evaluating LLM apps, agents, RAG pipelines, and chatbots.
Visit DeepEvalFull verdict → - Giskard8.6/10 · Free plan
Open-source LLM and RAG evaluation with enterprise security and review workflows.
Visit GiskardFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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