7 best Grafana alternatives for LLM evaluation and AI quality

Grafana provides teams with a way to monitor large language model (LLM) systems through dashboards that highlight key metrics such as latency, token usage, and error rates. However, it lacks features for evaluating AI output quality, gating releases, and preventing regressions in the deployment process, prompting teams to seek alternatives for structured evaluations and integrated workflows. Among several options, Braintrust emerges as a strong alternative, offering native evaluation datasets, GitHub integration for pull request quality checks, and tools to convert production failures into test cases. Other alternatives like Langfuse, Galileo AI, and Maxim AI cater to specific needs, such as open-source tracing, real-time guardrails, and collaborative evaluation setups, respectively. While Grafana is suitable for teams focused on basic monitoring and cost tracking, those aiming for comprehensive AI quality assurance may find more value in these dedicated platforms, particularly Braintrust, which integrates evaluation deeply into the release process.

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