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ROHLINGER","url":"https://github.com/RenaudRohlinger"},"license":"MIT","homepage":"https://github.com/RenaudRohlinger/stats-gl","repository":{"type":"git","url":"git+https://github.com/RenaudRohlinger/stats-gl.git"},"description":"[](https://www.npmjs.com/package/stats-gl) [](https://www.npmjs.com/package/st","maintainers":[{"name":"onirenaud","email":"renaud.rohlinger@gmail.com"}],"readme":"# stats-gl\n[](https://www.npmjs.com/package/stats-gl)\n[](https://www.npmjs.com/package/stats-gl)\n\n> **For AI/LLM users:** See [llms.txt](./llms.txt) for a condensed API reference.\n\nWebGL/WebGPU Performance Monitor with real-time FPS, CPU, and GPU timing. Supports Three.js, native WebGL2/WebGPU, Web Workers, and texture preview panels.\n\n[Live Demo](https://stats.renaudrohlinger.com/)\n\n\nhttps://github.com/RenaudRohlinger/stats-gl/assets/15867665/3fdafff4-1357-4872-9baf-0629dbaf9d8c\n\n\n### Note: To support GPU monitoring on Safari you need to enable Timer Queries under WebKit Feature Flags > WebGL Timer Queries\n\n## Installation\n\n```bash\nnpm install stats-gl\n```\n\n## Quick Start\n\n### Three.js (WebGL or WebGPU)\n\n```js\nimport Stats from 'stats-gl';\nimport * as THREE from 'three';\n\nconst stats = new Stats({ trackGPU: true });\ndocument.body.appendChild(stats.dom);\n\nconst renderer = new THREE.WebGLRenderer(); // or WebGPURenderer\nstats.init(renderer);\n\nfunction animate() {\n renderer.render(scene, camera); // or renderAsync for WebGPU\n stats.update();\n}\nrenderer.setAnimationLoop(animate);\n```\n\n### Native WebGL2\n\n```js\nimport Stats from 'stats-gl';\n\nconst stats = new Stats({ trackGPU: true });\nconst canvas = document.querySelector('#canvas');\nstats.init(canvas);\ndocument.body.appendChild(stats.dom);\n\nfunction animate() {\n stats.begin();\n // ... your WebGL draw calls ...\n stats.end();\n stats.update();\n requestAnimationFrame(animate);\n}\nanimate();\n```\n\n### Native WebGPU\n\n```js\nimport Stats from 'stats-gl';\n\nconst adapter = await navigator.gpu.requestAdapter();\nconst device = await adapter.requestDevice({ requiredFeatures: ['timestamp-query'] });\nconst context = canvas.getContext('webgpu');\n\nconst stats = new Stats({ trackGPU: true });\nstats.init(device); // Pass the GPUDevice\ndocument.body.appendChild(stats.dom);\n\nfunction animate() {\n stats.begin();\n\n const encoder = device.createCommandEncoder();\n const pass = encoder.beginRenderPass({\n colorAttachments: [...],\n timestampWrites: stats.getTimestampWrites() // Enable GPU timing\n });\n // ... your draw calls ...\n pass.end();\n\n stats.end(encoder); // Pass encoder to resolve timestamps\n device.queue.submit([encoder.finish()]);\n\n stats.update();\n requestAnimationFrame(animate);\n}\nanimate();\n```\n\n#### Multiple passes per frame (render + compute)\n\n`getTimestampWrites('render')` and `getTimestampWrites('compute')` allocate independent\ntimestamp pairs. Each call consumes one pair from the per-frame budget; counters reset\non the next `stats.begin()`. Render-pass durations sum into the **GPU** panel,\ncompute-pass durations into the **CPT** panel.\n\n```js\nconst stats = new Stats({ trackGPU: true, trackCPT: true });\nstats.init(device);\n\nfunction animate() {\n stats.begin();\n\n const encoder = device.createCommandEncoder();\n\n const compute = encoder.beginComputePass({\n timestampWrites: stats.getTimestampWrites('compute')\n });\n // ... dispatchWorkgroups ...\n compute.end();\n\n const shadowPass = encoder.beginRenderPass({\n colorAttachments: [...],\n timestampWrites: stats.getTimestampWrites('render')\n });\n // ... shadow draw calls ...\n shadowPass.end();\n\n const mainPass = encoder.beginRenderPass({\n colorAttachments: [...],\n timestampWrites: stats.getTimestampWrites('render')\n });\n // ... main draw calls ...\n mainPass.end();\n\n stats.end(encoder);\n device.queue.submit([encoder.finish()]);\n stats.update();\n requestAnimationFrame(animate);\n}\n```\n\n### React Three Fiber\n\nA `` component is available through [@react-three/drei](https://github.com/pmndrs/drei):\n\n```jsx\nimport { Canvas } from '@react-three/fiber'\nimport { StatsGl } from '@react-three/drei'\n\nconst Scene = () => (\n \n)\n```\n\n### Tresjs (Vue)\n\nA `` component is available through [cientos](https://cientos.tresjs.org/api/debug-performance/stats-gl):\n\n```vue\n\n\n\n \n \n \n\n```\n\n## Parameters\n\n| Parameter | Type | Default | Description |\n|-----------|------|---------|-------------|\n| `trackFPS` | boolean | `true` | Enable built-in FPS and CPU panels |\n| `trackGPU` | boolean | `false` | Enable GPU timing (requires extension support) |\n| `trackHz` | boolean | `false` | Enable refresh rate detection |\n| `trackCPT` | boolean | `false` | Enable compute-pass timing (WebGPU). Adds the **CPT** panel. |\n| `logsPerSecond` | number | `4` | How often to update text display |\n| `graphsPerSecond` | number | `30` | How often to update graphs |\n| `samplesLog` | number | `40` | Number of samples for text averaging |\n| `samplesGraph` | number | `10` | Number of samples for graph averaging |\n| `precision` | number | `2` | Decimal places for CPU/GPU values |\n| `maxTimestampPairs` | number | `2048` | Max begin/end timestamp pairs per frame on the native WebGPU path |\n| `minimal` | boolean | `false` | Minimal mode - click to cycle panels |\n| `horizontal` | boolean | `true` | Horizontal panel layout |\n| `mode` | number | `0` | Initial panel (0=FPS, 1=CPU, 2=GPU) |\n\n## Web Worker / OffscreenCanvas\n\nstats-gl supports rendering in a Web Worker using OffscreenCanvas. Use `StatsProfiler` in the worker to collect timing data, and send it to the main thread where `Stats` displays it.\n\n**Worker (offscreen rendering):**\n```js\nimport { StatsProfiler } from 'stats-gl';\n\nconst profiler = new StatsProfiler({ trackGPU: true });\n\nself.onmessage = async (e) => {\n if (e.data.type === 'init') {\n const canvas = e.data.canvas;\n const gl = canvas.getContext('webgl2');\n await profiler.init(gl);\n requestAnimationFrame(loop);\n }\n};\n\nfunction loop() {\n profiler.begin();\n // ... your rendering code ...\n profiler.end();\n profiler.update();\n\n // Send timing data to main thread\n self.postMessage({ type: 'stats', ...profiler.getData() });\n requestAnimationFrame(loop);\n}\n```\n\n**Main thread:**\n```js\nimport Stats from 'stats-gl';\n\nconst stats = new Stats({ trackGPU: true });\ndocument.body.appendChild(stats.dom);\n\nconst canvas = document.getElementById('canvas');\nconst offscreen = canvas.transferControlToOffscreen();\n\nconst worker = new Worker('worker.js', { type: 'module' });\nworker.postMessage({ type: 'init', canvas: offscreen }, [offscreen]);\n\nworker.onmessage = (e) => {\n if (e.data.type === 'stats') {\n stats.setData(e.data);\n }\n};\n\nfunction loop() {\n stats.update();\n requestAnimationFrame(loop);\n}\nloop();\n```\n\n### StatsProfiler API\n\n`StatsProfiler` is a headless version of `Stats` designed for workers:\n\n- `init(canvas | device)` - Initialize with WebGL context, OffscreenCanvas, or GPUDevice\n- `begin()` / `end(encoder?)` - Wrap your render calls (pass encoder for native WebGPU)\n- `getTimestampWrites()` - Get timestampWrites config for native WebGPU render pass\n- `update()` - Process timing data\n- `getData()` - Returns `{ fps, cpu, gpu, gpuCompute }`\n- `captureTexture(source, sourceId)` - Capture texture to ImageBitmap for transfer\n\n### Stats.setData()\n\nUse `stats.setData(data)` to feed external timing data into the Stats UI. When set, `update()` uses this data instead of internal timing.\n\n## Texture Preview Panels\n\nDisplay render target previews alongside performance metrics. Supports both WebGL and WebGPU.\n\n### Three.js Usage\n\n```js\nconst stats = new Stats({ trackGPU: true });\nstats.init(renderer);\n\n// Create a texture panel\nconst panel = stats.addTexturePanel('GBuffer');\n\n// Set texture source (WebGLRenderTarget or WebGPU RenderTarget)\nconst renderTarget = new THREE.WebGLRenderTarget(width, height);\nstats.setTexture('GBuffer', renderTarget);\n\n// In render loop - textures update automatically\nfunction animate() {\n renderer.setRenderTarget(renderTarget);\n renderer.render(scene, camera);\n renderer.setRenderTarget(null);\n renderer.render(scene, camera);\n stats.update();\n}\n```\n\n### Worker Texture Transfer\n\n```js\n// Worker - capture and transfer texture\nconst bitmap = await profiler.captureTexture(renderTarget, 'gbuffer');\nself.postMessage(\n { type: 'texture', name: 'GBuffer', bitmap, width, height },\n [bitmap]\n);\n\n// Main thread - receive and display\nworker.onmessage = (e) => {\n if (e.data.type === 'texture') {\n stats.setTextureBitmap(e.data.name, e.data.bitmap, e.data.width, e.data.height);\n }\n};\n```\n\n### Texture Panel API\n\n- `stats.addTexturePanel(name)` - Create a new texture preview panel\n- `stats.setTexture(name, source)` - Set Three.js RenderTarget source\n- `stats.setTextureWebGL(name, framebuffer, width, height)` - Set raw WebGL framebuffer\n- `stats.setTextureBitmap(name, bitmap, width?, height?)` - Set ImageBitmap (for workers)\n- `stats.removeTexturePanel(name)` - Remove a texture panel\n\n## TSL Node Capture (WebGPU)\n\nCapture any Three.js TSL node for live preview. Works with MRT, post-processing, and custom shaders.\n\n### Main Thread Usage\n\n```js\nimport Stats from 'stats-gl';\nimport { statsGL } from 'stats-gl/addons/StatsGLNode.js';\nimport { addMethodChaining } from 'three/tsl';\n\n// Enable .toStatsGL() method on TSL nodes\naddMethodChaining('toStatsGL', statsGL);\n\nconst stats = new Stats({ trackGPU: true });\nstats.init(renderer);\ndocument.body.appendChild(stats.dom);\n\n// In your PostProcessing setup:\nconst scenePass = pass(scene, camera);\nscenePass.setMRT(mrt({\n output,\n normal: directionToColor(normalView),\n diffuse: diffuseColor\n}));\n\n// Register nodes for capture - panels are created automatically\nscenePass.getTextureNode('diffuse').toStatsGL('Diffuse', stats);\nscenePass.getTextureNode('normal').toStatsGL('Normal', stats);\nscenePass.getLinearDepthNode().toStatsGL('Depth', stats);\n```\n\n### Web Worker Usage\n\nThe same `StatsGLNode.js` addon works in Web Workers with OffscreenCanvas:\n\n**Worker:**\n```js\nimport { StatsProfiler } from 'stats-gl';\nimport { flushCaptures } from 'stats-gl/addons/StatsGLNode.js';\n\nconst profiler = new StatsProfiler({ trackGPU: true });\nawait profiler.init(renderer);\n\n// Register nodes (no stats instance needed in worker)\ndiffuseNode.toStatsGL('Diffuse');\nnormalNode.toStatsGL('Normal');\ndepthNode.toStatsGL('Depth');\n\nasync function render() {\n profiler.begin();\n postProcessing.render();\n profiler.end();\n profiler.update();\n\n // Send stats to main thread\n self.postMessage({ type: 'stats', data: profiler.getData() });\n\n // Capture and transfer TSL nodes as ImageBitmaps\n const captures = await flushCaptures(renderer);\n for (const { name, bitmap } of captures) {\n self.postMessage({ type: 'texture', name, bitmap }, [bitmap]);\n }\n}\n```\n\n**Main Thread:**\n```js\nimport Stats from 'stats-gl';\n\nconst stats = new Stats({ trackGPU: true });\ndocument.body.appendChild(stats.dom);\n\n// Create panels for worker captures\nstats.addTexturePanel('Diffuse');\nstats.addTexturePanel('Normal');\nstats.addTexturePanel('Depth');\n\nworker.onmessage = (e) => {\n if (e.data.type === 'stats') stats.setData(e.data.data);\n if (e.data.type === 'texture') {\n stats.setTextureBitmap(e.data.name, e.data.bitmap);\n }\n};\n```\n\n### Transform Callback\n\nUse a callback to transform the node before capture (e.g., linearize depth):\n\n```js\ndepthNode.toStatsGL('Depth', stats, (node) => linearizeDepth(node));\n```\n\n## Custom Panels\n\nAdd custom metrics panels:\n\n```js\nconst customPanel = stats.addPanel(new Stats.Panel('COUNT', '#ff0', '#220'));\n\nfunction animate() {\n // Update with value and max\n customPanel.update(currentValue, maxValue, 2); // 2 decimal places\n customPanel.updateGraph(currentValue, maxValue);\n stats.update();\n}\n```\n\n## API Reference\n\n### Default Export: Stats\n\nMain class with DOM rendering.\n\n```js\nimport Stats from 'stats-gl';\n\nconst stats = new Stats(options);\nstats.init(renderer); // Initialize with Three.js renderer, canvas, or GPUDevice\nstats.begin(); // Start timing (auto-called for Three.js)\nstats.end(encoder?); // End timing (pass encoder for native WebGPU)\nstats.update(); // Update display\nstats.setData(data); // Set external timing data\nstats.getTimestampWrites('render'); // Allocate a render-pass timestamp pair\nstats.getTimestampWrites('compute'); // Allocate a compute-pass timestamp pair\nstats.dispose(); // Clean up resources\n```\n\n### Named Exports\n\n```js\nimport Stats, {\n StatsProfiler, // Headless profiler for workers\n PanelTexture, // Texture preview panel class\n TextureCaptureWebGL, // WebGL texture capture utility\n TextureCaptureWebGPU, // WebGPU texture capture utility\n StatsGLCapture // Addon capture helper\n} from 'stats-gl';\n\n// TSL Node capture addon (WebGPU only, works in main thread and workers)\nimport { statsGL, flushCaptures } from 'stats-gl/addons/StatsGLNode.js';\n```\n\n## Contributing\n\nContributions to stats-gl are welcome. Please report any issues or bugs you encounter.\n\n## License\n\nThis project is licensed under the MIT License.\n\n## Maintainers\n\n- [@onirenaud](https://twitter.com/onirenaud)\n- [@utsuboco](https://twitter.com/utsuboco)\n","readmeFilename":"README.md"}