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JupyterHub. Also works with Streamlit and other \nvisualization frameworks.\n\n## Install and Run\n\nInstall using pip.\n\n```\npip install plotlydash-tornado-cmd\n```\n\nThe file to start is specified on the command line, for example:\n\n```\nplotlydash-tornado-cmd ~/Dev/mydashscript.py\n```\n\nBy default the server will listen on port 8888, importing the Dash app named 'app', or locating the first dash.Dash \nobject that it can find otherwise.\n\nTo specify a different port, use the --port flag.\n\nTo explicitly specify the name of your dash.Dash app, use the --server-name flag.\n\n```\nplotlydash-tornado-cmd --server-name=app --port=8888 ~/Dev/mydashscript.py\n```\n\nTo run directly in python: `python -m plotlydash_tornado_cmd.main \u003crest of command line\u003e`\n\n## Changelog\n\n- v0.0.6 Change CWD to script's folder, and also add that folder to the Python search path.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fideonate%2Fplotlydash-tornado-cmd","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fideonate%2Fplotlydash-tornado-cmd","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fideonate%2Fplotlydash-tornado-cmd/lists"}