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figure out:\n\n1. Where peak memory usage is, also known as the high-water mark.\n2. What code was responsible for allocating the memory that was present at that peak moment.\n\nThat's exactly what Fil will help you find.\nFil an open source memory profiler designed for data processing applications written in Python, and includes native support for Jupyter.\nFil runs on Linux and macOS, and supports CPython 3.9 and later.\n\n## Getting help\n\n* For more information, you can **[read the documentation](https://pythonspeed.com/fil/docs/)**.\n* If you need help or have any questions, feel free to file an issue or [start a discussion](https://github.com/pythonspeed/filprofiler/discussions).\n**When in doubt, please ask—I love questions.**\n\n## What users are saying\n\n\u003e \"Within minutes of using your tool, I was able to identify a major memory bottleneck that I never would have thought existed.  The ability to track memory allocated via the Python interface and also C allocation is awesome, especially for my NumPy / Pandas programs.\"\n\u003e \n\u003e —Derrick Kondo\n\n\u003e \"Fil has just pointed straight at the cause of a memory issue that's been costing my team tons of time and compute power. Thanks again for such an excellent tool!\"\n\u003e\n\u003e —Peter Sobot\n\n## License\n\nCopyright 2021 Hyphenated Enterprises LLC\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n     http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n","funding_links":[],"categories":["[filprofiler](https://pythonspeed.com/products/filmemoryprofiler/)","Rust","Profiling","Memory Management"],"sub_categories":["Ranking/Recommender"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonspeed%2Ffilprofiler","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpythonspeed%2Ffilprofiler","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonspeed%2Ffilprofiler/lists"}