According to AlphaMoat, in the latest data month CAFE (cafe-ai.de) received 0 monthly visits — ranked #0 of 18,351 AI websites with traffic data, and #0 of 2,493 in General AI.
What is CAFE
CAFE is an open-source, Apache-2.0 design-of-experiments platform for evaluating compound AI systems including RAG pipelines, agents, and LLM chains. Users declare the factors they want to vary, run configurations with replication, and attribute quality to the components that actually drive it using p-values.
- 01Expands full factorial or fractional designs automatically with resolution and alias reporting
- 02runs every configuration multiple times to separate real effects from run-to-run LLM noise
- 03writes checkpoints so interrupted studies resume instead of restarting
- 04matches statistics to the rubric such as cumulative-link mixed models
- 05works with any LLM provider via LiteLLM
- 06supports human rating workflows with inter-rater reliability
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Data month: — · Visit figures are third-party traffic estimates aggregated monthly — best for scale and trends. Multiple domains of the same product are merged. See methodology.