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@ -12,10 +12,9 @@ Given raw profiling data, speedscope allows you to interactively explore the dat
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Visit https://jlfwong.github.io/speedscope/, then either browse to find a profile file or drag-and-drop one onto the page. The profiles are not uploaded anywhere -- the application is totally in-browser.
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## Supported file formats:
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There are two file formats currently supported:
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1. The folded stack format output by the FlameGraph scripts do: https://github.com/brendangregg/FlameGraph#2-fold-stacks. Example: https://github.com/jlfwong/speedscope/blob/master/sample/perf-vertx-stacks-01-collapsed-all.txt
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2. The timeline format output by Chrome developer tools: https://developers.google.com/web/tools/chrome-devtools/evaluate-performance/reference#save. Example: https://github.com/jlfwong/speedscope/blob/master/sample/chrome-timeline.json
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2. The timeline format output by Chrome developer tools: https://developers.google.com/web/tools/chrome-devtools/evaluate-performance/reference#save. **NOTE**: You must append a `.json` extension. Example: https://github.com/jlfwong/speedscope/blob/master/sample/chrome-timeline.json
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3. The `.cpuprofile` format output by Chrome developer tools JavaScript profiler, useful for viewing flamecharts generated by Node.js applications: https://medium.com/@paul_irish/debugging-node-js-nightlies-with-chrome-devtools-7c4a1b95ae27
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## Views
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