Trace, evaluate and improve applications
Langfuse comparison0%
vs AI engineering platform
Flowlines vs Langfuse.
Flowlines is not a Langfuse replacement. Langfuse combines tracing, prompt management, evaluation, experiments, and production metrics. Flowlines connects through read-only API polling or a second OpenTelemetry exporter and specializes in recurring behavior issues, users, intents, and MCP journeys.
Langfuse is an AI engineering platform with tracing, prompt management, evaluations, experiments, scores, and customizable production metrics. It can analyze cost, latency, quality, users, sessions, releases, and prompt versions.
Flowlines is the analysis layer that sits on top. It polls Langfuse read-only or receives the same spans through a second OpenTelemetry exporter, then turns them into recurring issues across sessions, user and intent rollups, and the affected production sessions. This is the clearest “not versus, on top of” relationship on this page.
Head to head
01Primary job
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Explain production behavior
02Trace capture and storage
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Yes, native
Imports or receives traces for analysis
03Evaluations and experiments
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Online and offline
Not an eval platform
04Production metrics
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Custom dashboards by user, session and version
Opinionated Home, Issues and Users views
05Cross-session issues
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Scores, metrics and session views
Recurring issues with affected scope
06Evidence path
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Trace and span
Issue to affected users and sessions
07Relationship
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The source of truth
Reads from it
Bottom line
Use Langfuse for broad AI engineering, trace analysis, prompt management, evaluation, experiments, and custom production metrics. Add Flowlines when you want its opinionated issue, user, and MCP journey workflows. Connect by API polling or a second exporter in Langfuse v3.
Sources reviewed / September 2026
Use Flowlines with your assistant