DeepEval
8.3#1 in llm evaluation toolsFrom $200 a monthFree planWebAPILinuxmacOS
VisitDeepEval vs Giskard
What both publish
| Fact | DeepEval | Giskard |
|---|---|---|
| Company size | LinkedIn lists Confident AI as a privately held software company with 11–50 employees and San Francisco headquarters. | LinkedIn lists Giskard as privately held with 11–50 employees. |
| Headquarters | San Francisco, California, United States | Europe |
| Integrations | Listed integrations include LangChain, Pydantic AI, OpenAI Agents, LangGraph, AWS AgentCore, Strands, Google ADK, LlamaIndex, and CrewAI. | The earlier product description lists compatibility with Hugging Face, MLflow, Weights & Biases, PyTorch, TensorFlow and LangChain. |
| License | The repository and package identify DeepEval as Apache Software License 2.0. | The public giskard-oss repository is marked Apache-2.0 licensed. |
| Purpose | DeepEval is an open-source LLM evaluation framework for building evaluation pipelines to test AI systems. | Giskard describes its platform as a way to find vulnerabilities in AI agents before they reach production. |
| Rating on G2 | 4.6 out of 5 from 5 reviews | 0.0 out of 5 from 0 reviews |
DeepEval plans
- DeepEvalFree
- FreeFree
- Starter$200 a month
- Team$2,000 a month
- EnterprisePriced on request
Giskard plans
- FreeFree
- Open-sourceFree
- EnterprisePriced on request
- ProfessionalPriced on request
Pick DeepEval if…
DeepEval suits developers building repeatable AI evaluations in Python or CI/CD, especially those testing multiple modalities or agent workflows. Its free OS offering is for pre-production testing rather than production evaluation.
Pick Giskard if…
Giskard suits teams responsible for evaluating conversational AI agents through API endpoints before release. It also fits organizations needing enterprise red-team scans, custom evaluations, human review, or controlled deployment options.