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Install\n\n```\n$ pip install mpysync\n```\n\n## Performance\nTake for example, a decently sized project (50 files, 836K) on an ESP32...\n\nCopying all files with `ampy`:\n```\n$ time ampy --port /dev/ttyUSB0 put build/ui ui\nreal\t8m33.000s\n```\n\nVs. rsync-ing the same files (no changes):\n```\n$ time python -m mpysync build/ --host 10.0.0.179\nreal\t0m1.511s\n\n$ time python -m mpysync build/ --port /dev/ttyUSB0\nreal\t0m6.858s\n```\n\nWorst case (no files in common), copying all files w/ `mpysync` is still an order of magnitude faster:\n```\n$ time python -m mpysync build/ --port /dev/ttyUSB0\nreal\t0m59.650s\n```\n\n\n\n## CLI Usage\n\n### Over Serial\n```\npython -m mpysync build/ --port /dev/ttyUSB0\n```\n\n### Over WiFi\n```\npython -m mpysync build/ --host 10.0.0.179\n```\n\n### All Options\n```\npython -m mpysync [--directory \u003cstr\u003e] [--host \u003cstr\u003e] [--port \u003cvalue\u003e] [--baud \u003cint\u003e] [--dry_run \u003cbool\u003e] [--clear_cache \u003cbool\u003e] [--verify \u003cbool\u003e]\n```\n\n## OTA Usage\n\nIn your `main.py` or (or anywhere really):\n\n```\nimport mpysync.server\n```\n\nThen (somewhere later in your code), start the main event loop:\n\n```\nimport uasyncio as asyncio\nasyncio.get_event_loop().run_forever()\n```\n\nBy default it listens on port 31261.\n\n### Memory\nWhen running in the background (for OTA updates), `mpysync` consumes 16k RAM if you're already using uttp, 20k otherwise.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkeredson%2Fmpysync","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkeredson%2Fmpysync","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkeredson%2Fmpysync/lists"}