Unity Data Tools

Unity data tools provide a domain-focused engine to process telemetry and performance logs from Unity applications. It ingests CSV or JSON data containing frameTime, memory usage, GC allocations, and scene identifiers, then derives a consistent set of metrics. By normalizing input to a canonical schema, it enables reliable cross-project comparisons, trend analysis, and baseline profiling for performance-oriented teams.
Conceptually, the tool maps Unity-specific fields to a common data model, validates timestamps, and filters out anomalies. It computes averages, min/max, and percentiles, and can generate per-scene aggregations. Advanced options include moving averages, histograms, and anomaly flags. Outputs are provided in machine-readable JSON or CSV suitable for dashboards or CI pipelines.
Target users are gameplay engineers, performance analysts, and QA teams seeking objective performance signals. The differentiator is Unity-tailored data mapping, out-of-the-box metrics aligned to common Unity workflows, and ready-to-export summaries that integrate with profiling tools, dashboards, or CI. It reduces data wrangling time and improves debugging efficiency by offering consistent, project-ready results.
Core features include data ingestion, field mapping, per-scene metrics, time-window analysis, and export formats. Typical use cases include post-mortem performance reviews, regression testing, and capacity planning in game studios.