How can I use LangFuse to visualize and analyze the trace data like PowerBI (stack bar charts, slicers, etc)

[Sourav-xd]

Describe your question

How can Langfuse be used to visualize and analyze trace data in a BI-like way, similar to Power BI? Is it possible to create advanced visualizations such as stacked or grouped bar charts using two dimensions (e.g. model × environment, status × time) within a single vertical bar chart? Additionally, are there plans or best practices for applying interactive slicers or global filters (model, environment, metadata, time range, etc.) to dynamically explore trace data across all dashboard visualizations?

Langfuse Cloud or Self-Hosted?

Self-Hosted

If Self-Hosted

New minor version: v3.147.0

If Langfuse Cloud

No response

SDK and integration versions

No response

Pre-Submission Checklist

• I have checked for existing issues/discussions and consulted Langfuse AI.

[inkeep-ai-assistant[bot]]

Langfuse provides customizable dashboards for visualizing and analyzing trace data directly within the UI(1). You can create personalized views to track metrics like latency, cost, quality monitoring, and user behavior(1).

Current Visualization Capabilities

Langfuse custom dashboards support multiple chart types including line charts, bar charts, time series, and pie charts(1). You can create widgets that:

• Choose from traces, observations, or evaluation scores as data sources(1)
• Select metrics to measure (count, latency, cost, scores, etc.)(1)
• Group by dimensions like user, model, time, trace name(1)
• Apply filters to narrow down specific data subsets(1)

The dashboards support advanced filtering including metadata filters, time-based filters, user properties, model parameters, tags and labels, and score thresholds(1).

Current Limitations for BI-Like Features

Based on the available sources, there are some limitations compared to full BI tools:

Stacked/Grouped Bar Charts: The documentation mentions bar charts as an available chart type for comparing values across categories(1), but does not explicitly describe stacked or grouped bar charts with multiple dimensions within a single visualization.

Metadata as Dimensions: Currently, custom metadata fields cannot be directly selected as dimensions in dashboard widgets(2). This is a known limitation - the feature was initially planned but cut due to complexity in using metadata at scale in dashboards(2).

Interactive Slicers: The documentation does not describe global filters or interactive slicers that apply across all dashboard visualizations simultaneously.

Alternative Approaches

For more advanced BI-style analysis, Langfuse provides programmatic access via the Metrics API(1), which allows you to export dashboard data for integration with external analytics tools(1). This would enable you to use Power BI or similar tools for advanced visualizations while leveraging Langfuse's data collection and query engine(3).

📚 Sources:

1. Custom Dashboards
2. Custom Metadata Field as Dimension in Dashboard Widgets
3. How we Built Scalable & Customizable Dashboards - Langfuse Blog

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Have another question? Just tag @inkeep.

[jannikmaierhoefer]

Hi @Sourav-xd, inkeep is correct. For use cases not supported in Langfuse yet, you can use the metrics API: https://langfuse.com/docs/metrics/features/custom-dashboards