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https://github.com/omegaml/dashserve

develop and serve Plotly Dash apps in Jupyter Notebook or JupyterLab
https://github.com/omegaml/dashserve

data-science plotly plotly-dash scikit-learn

Last synced: 3 months ago
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develop and serve Plotly Dash apps in Jupyter Notebook or JupyterLab

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README

        

dashserve: Plotly Dash Served Easily
====================================

*dashserve* supports developing and serving Plotly Dash apps within Jupyter Notebook and JupyterLab.
dashserve can also serialize Dash apps to a file and serve it using your favorite WSGI server.

Documentation https://omegaml.github.io/dashserve

Run from within Jupyter Notebook or Jupyter Lab
-----------------------------------------------

.. code::

# in Jupyter Notebook
from dashserve import JupyterDash

app = JupyterDash(__name__)
app.layout = html.Div(children=[
...
]
app.run_server()

* Serving Flask app "__main__" (lazy loading)
* Environment: production
WARNING: Do not use the development server in a production environment.
Use a production WSGI server instead.
* Debug mode: off
* Running on http://127.0.0.1:8050/ (Press CTRL+C to quit)

More options are available, see documentation

License
-------

dashserve is MIT licensed. Details see LICENSE file

Note Plotly Dash is Copyright (c) 2018 Plotly Inc, and is not part of dashserve

Commercial options
------------------

dashserve is brought to you by omega|ml - productize machine learning

The commercial version of dashserve is a module of omega|ml to provide multi-user
analytics dashboards, enterprise-grade security, full data integration and machine
learning applications. From laptop to web scale, all deployed with a single-line of code.

We can help you build and deploy analytics applications easily. Get in touch
at [email protected] or chat with us at http://omegaml.io

* Serving machine learning models to applications via a state-of-the art REST API
* Getting your data science team from zero to speed using omega|ml, batteries included
* Consulting on data science, visualizations using Plotly and machine learning