FPS Monitor

Aimed at developers and designers, this FPS monitor tool helps quantify in-browser or app frame rate to optimize rendering and user experience.

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About This Tool

The FPS Monitor analyzes rendering performance for web and native applications by computing real-time FPS from either a synthetic sampling window or per-frame timing data. It is designed for developers, performance engineers, QA teams, and product managers who need objective, comparable metrics across builds and devices.\n\nConceptually, users supply either a frame_count and duration or a per-frame_times_ms trace. The tool derives average FPS, min and max FPS, and a frame-time distribution. It can detect stalls, outliers, and bursts, and provide an export-ready report. Cross-device comparisons are supported by including device_alias and normalized metrics.\n\nBenefits include reproducible benchmarks for CI gates, quicker debugging of animation smoothness, and a simple baseline for performance regressions. By exporting CSV/JSON, teams can integrate results into dashboards and CI pipelines.\n\nCore value lies in clarity and speed: it translates raw timings into actionable FPS metrics, enabling consistent performance targets and faster optimization cycles.

How to Use

  1. Provide inputs: specify frames and duration (e.g., 300 frames over 5 seconds) to establish sampling.
  2. Start measurement: run the capture or load an existing trace.
  3. View outputs: read average FPS, min/max FPS, and frame time distribution.
  4. Analyze results: identify spikes, stalls, or frame drops across scenes.
  5. Export or copy results: save as CSV/JSON for integration.
How to use fps monitor

Frequently Asked Questions

Find Quick Answers

What data sources can I use?
You can provide a simple frame_count with duration for quick estimates or attach a per_frame_times_ms array for detailed per-frame analysis. The tool adapts calculations based on the data provided and gracefully ignores missing per-frame data when only aggregated inputs are present.
Can I compare performance across devices?
Yes. Include a device_alias for each data set and use the exported metrics to compare average FPS, min/max FPS, and frame-time distributions across devices. Normalization helps mitigate resolution or refresh-rate differences.
What do FPS numbers indicate for optimization?
Higher and more stable FPS generally indicate smoother rendering. The tool highlights drops and spikes (outliers) to pinpoint scenes or operations causing stalls, guiding targeted optimizations in shaders, batching, or asset loading.
Is data exportable and pipeline-friendly?
Yes. The tool supports exporting CSV or JSON reports suitable for CI dashboards, performance regressions, and integration with monitoring systems. This enables automated tracking of performance targets over time.

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