deepeval alternatives
Curated alternatives to deepeval — and why you'd switch.
Ragas
Evaluation toolkit for your RAG and agent pipelines — faithfulness, relevance, and more.
Why switchThe two default pip installs for LLM evaluation: Ragas is RAG-centric (faithfulness, relevance); DeepEval covers the same RAG suite plus agents, chatbots, safety metrics and pytest-style CI integration. Broader tool vs sharper tool.
Full comparison →Tracely-ai
Trace-native CI/CD for agents: OTLP traces are graded on arrival, failures cluster into issues, and one click freezes a failing run into a hermetic regression case that blocks the PR.
Why switchBoth gate LLM behaviour in CI, from opposite directions. DeepEval is pytest: you author the dataset and pick from 40+ metrics. Tracely inverts it — production traces become the cases automatically and replay from recorded fixtures, so CI costs nothing but you need real traffic first.
Full comparison →giskard-oss
Giskard v3: modular Python evals and red-teaming for agentic systems — scenario-based checks with LLM-as-judge, plus an automatic vulnerability scanner across OWASP LLM Top-10 categories.
Why switchBoth are modular Python eval frameworks with LLM-as-judge and safety scanning. Giskard leans scenario-based checks and OWASP-mapped vulnerability scanning; DeepEval leans metric breadth and pytest-in-CI ergonomics.
Full comparison →future-agi
Self-hostable platform for the whole agent-quality loop: tracing, evals, simulations, datasets, guardrails and an LLM gateway — one feedback loop from prototype to production. Apache 2.0.
Why switchdeepeval is the pytest-shaped primitive you wire into CI; Future AGI is the platform that wants to own the whole loop those tests live in.
Full comparison →