Observability · 8 alternatives ranked of 36 in the category
Looking for alternatives to DeepEval? These are the observability tools that score highest on adoption, reviews, benchmarks, and public code, with what separates each one from DeepEval.
Ranked by adoption, review, benchmark, and repository signals. Each note below is drawn from the two products’ own catalog records, so a product with nothing to separate it from DeepEval carries no note.
Langfuse is freemium against DeepEval's open source model, exposes a public API you can build against, and carries 35k GitHub stars to DeepEval's 18k.
Helicone is freemium against DeepEval's open source model and exposes a public API you can build against.
MLflow exposes a public API you can build against and carries 28k GitHub stars to DeepEval's 18k.
OpenPipe ART exposes a public API you can build against.
Opik exposes a public API you can build against.
Langfuse ranks highest among the alternatives to DeepEval we track. Langfuse is freemium against DeepEval's open source model, exposes a public API you can build against, and carries 35k GitHub stars to DeepEval's 18k. Open-source LLM engineering platform for tracing, evals, prompt management, and metrics so teams can debug and improve production AI applications.
Langfuse, Helicone, MLflow, OpenPipe ART, Opik, Phoenix, Portkey, and Promptfoo expose a public API. DeepEval does not publish one in our catalog, so these are the options if you need to build against the product programmatically.
Phoenix exposes a public API you can build against.
Portkey is freemium against DeepEval's open source model and exposes a public API you can build against.
Promptfoo exposes a public API you can build against.