The best Atatus LLM Observability alternatives

Weave suits teams building or operating production AI agents that need tracing, evaluations, interaction monitoring, or prompt comparisons.

Opik suits teams developing applications or agents that call an LLM and need to inspect, evaluate, and monitor their behavior.

The platform is presented for startup and enterprise teams building and operating AI agents.

Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools.

LangWatch suits AI teams working on agents, including developers, product owners, QA, and domain experts involved in evaluation workflows.

OpenLIT suits developers who want to observe LLM applications, prompts, evaluations, and costs.

Agenta suits teams that want to create and operate AI agents across work tools, with cloud or self-hosted deployment options.

LangSmith suits teams developing AI agents that need evaluation, prompt tools, tracing, and production monitoring.

It suits teams building or operating AI applications that need provider routing, request tracing, or cost visibility.

Braintrust is intended for teams running AI agents in production, from early-stage projects to enterprise deployments.

Laminar suits teams building AI agents that need to trace model and tool activity, investigate runs, or evaluate changes against datasets.

Portkey suits teams building or operating applications that use multiple AI models and need routing, activity monitoring, and prompt management.

Arize AX suits teams working to observe, evaluate, and improve AI agents in production.

Galileo is designed for engineers, product managers, and subject matter experts building AI applications.

Phoenix suits teams that need to inspect AI application traces and compare evaluation results across versions.

It suits AI platform teams, AI engineers, domain experts, and risk and governance teams that need production agent visibility.