Deepchecks vs DeepEval
A side-by-side comparison of Deepchecks and DeepEval, two Eval tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
The honest brief
Deepchecks
Offers VPC, on-prem, and bare-metal deployment for regulated teams that can't send evals to the cloud — rare among LLM eval tools.
- Open-source core (AGPL-3.0)
- Testing-first, CI/CD-friendly evals
- Covers both ML and LLM validation
- Continuous production monitoring
- AGPL-3.0 may not suit all teams
- Hosted platform pricing is steep
- Breadth adds setup overhead
DeepEval
Write LLM evals as Pytest-style assertions and run them in CI, backed by 50+ metrics across RAG, agents, and safety.
- Assertions run in your CI pipeline
- Metrics for RAG, agents, and safety
- Bring any judge model (BYO key)
- Integrates LangChain/CrewAI/OpenAI
- LLM-as-judge adds cost
- Dashboards need paid Confident AI
- Judge metrics can be noisy