Batch Trace Filtering And Search

via “filtered trace search and analytics with custom view creation”

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

Unique: Virtualized table rendering with complex filter combinations and saved views, enabling efficient exploration of 10k+ traces without performance degradation or manual query writing

vs others: Supports complex filter combinations (vs simple search in competitors), with virtualized rendering enabling 10k+ trace display vs competitors limiting to 1k-5k traces

via “trace event filtering and time-range queries”

MCP server: perfetto-mcp

Unique: Provides in-memory filtering of parsed Perfetto events with support for multi-dimensional criteria (process, thread, category, time range). Implements sequential filtering passes to handle complex queries without requiring a separate indexing layer or database.

vs others: Simpler than building a full trace database or index, but slower than indexed queries — suitable for interactive analysis of medium-sized traces where latency is acceptable but complexity must be minimized.