Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for AI engineering teams and platform teams who need a real Apache-2.0 OpenTelemetry-native path to instrument LLM / agent / RAG / vector-store code paths with the standard OTel gen_ai.* semconv (so traces land in any OTEL-compatible backend without per-vendor lock-in), for organizations standardizing on OTel who want one tracing layer across all of OpenAI / Anthropic / Gemini / LangChain
Who should use it
Who should skip it
Skip Arize-ai/openinference if the source link, documentation, or setup requirements do not align with your current workflow or stack.
About this signal
Arize-ai/openinference is tracked by RepoRadar as a framework in the Radar section. First seen 2026-08-12; the source record was last checked on 2026-08-12. The current verdict is 'try now' with a Gold tier and easy setup difficulty. Across RepoRadar's eight signals, Arize-ai/openinference is strongest on workflow potential (9.6) and practical usefulness (9.0) and weakest on maturity (6.6) — a profile worth weighing against your own priorities. This page summarizes the public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The Arize-ai/openinference record combines a 8.5/10 composite score with separate popularity (1.1), risk (low), and setup (easy) signals. See the scoring methodology for the current weights and evidence definitions.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
Risk label is still being reviewed from the captured evidence. Treat the item as unknown-risk until you review the linked source, permissions, setup path, and data access.