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        "author": "Patrick Senti",
        "author_email": "patrick.senti@omegaml.io",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Environment :: Web Environment",
            "Framework :: Flask",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Financial and Insurance Industry",
            "Intended Audience :: Healthcare Industry",
            "Intended Audience :: Manufacturing",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Database :: Front-Ends",
            "Topic :: Office/Business :: Financial :: Spreadsheet",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Software Development :: Libraries :: Application Frameworks",
            "Topic :: Software Development :: Widget Sets"
        ],
        "description": "dashserve: Plotly Dash Served Easily\n====================================\n\n*dashserve* supports developing and serving Plotly Dash apps within Jupyter Notebook.\ndashserve can also serialize Dash apps and serve them anywhere form a file.\n\nDocumentation https://omegaml.github.io/dashserve/html/index.html\n\nRun from within Jupyter Notebook or Jupyter Lab\n-----------------------------------------------\n\n.. code::\n\n   # in Jupyter Notebook\n   from dashserve import JupyterDash\n\n   app = JupyterDash(__name__)\n   app.layout = html.Div(children=[\n      ...\n   ]\n   app.run_server()\n\n   * Serving Flask app \"__main__\" (lazy loading)\n   * Environment: production\n     WARNING: Do not use the development server in a production environment.\n     Use a production WSGI server instead.\n   * Debug mode: off\n   * Running on http://127.0.0.1:8050/ (Press CTRL+C to quit)\n\nMore options are available, see documentation\n\nLicense\n-------\n\ndashserve is MIT licensed. Details see LICENSE file\n\nNote Plotly Dash is Copyright (c) 2018 Plotly Inc, and is not part of dashserve\n\nCommercial options\n------------------\n\ndashserve is brought to you by omega|ml - productize machine learning\n\nThe commercial version of dashserve is a module of omega|ml to provide multi-user\nanalytics dashboards, enterprise-grade security, full data integration and machine\nlearning applications. From laptop to web scale, all deployed with a single-line of code.\n\nWe can help you build and deploy analytics applications easily. Get in touch\nat info@omegaml.io or chat with us at http://omegaml.io\n\n* Serving machine learning models to applications via a state-of-the art REST API\n* Getting your data science team from zero to speed using omega|ml, batteries included\n* Consulting on data science, visualizations using Plotly and machine learning\n\n",
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        "license": "MIT",
        "maintainer": "",
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        "name": "dashserve",
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        "summary": "develop and serve Plotly Dash apps in Jupyter Notebook",
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