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Using Bokeh — Dataiku DSS 13 documentation


Using Bokeh — Dataiku DSS 13 documentation

Bokeh charts generated using Python code can be shared on a DSS dashboard using the “static insights” system. This does not include the capability to include ...

Bokeh web apps — Dataiku DSS 13 documentation

In addition to webapps, you can use Bokeh for interactive visualizations in a Jupyter notebook. You can also export “static” Bokeh visualizations (where you can ...

Bokeh: Your first webapp - Dataiku Developer Guide

This tutorial will create a simple Bokeh webapp in Dataiku DSS. We will use sample sales data from the fictional Haiku T-shirt company.

Dataiku DSS - Reference documentation — Dataiku DSS 13 ...

Dataiku DSS - Reference documentation¶ · Installing Python packages · Reusing Python code · Using Matplotlib · Using SpaCy · Using Bokeh · Using Plot.ly · Using Ggplot ...

Webapps — Dataiku DSS 13 documentation

Introduction to DSS webapps · “Standard” web apps · Shiny web apps · Bokeh web apps · Example use cases · Custom visualizations · Applicative frontend.

Introduction to DSS webapps - Dataiku Documentation

You write your Bokeh code as you would outside of DSS, and DSS takes care of hosting your webapp and making it available to users with access to your data ...

Are URL parameters supported in a Bokeh Web App?

13 from going through their documentation). Notably, the DSS nginx will simply redirect the request to the underlying Bokeh server but should ...

Bokeh - Dataiku Developer Guide

What's New? Discuss Dataiku · Using Dataiku · Setup And Configuration · General ... You are viewing the developer guide for version 13 of DSS. Go back to the ...

Component: Web Apps — Dataiku DSS 13 documentation

For a Python Bokeh or Dash web app, there will be a backend.py file. Use the get_webapp_config() method to extract parameter values the user specifies on the ...

Dash webapps in dataiku - Plotly Community Forum

The dataiku ecosystem integrates with Shiny and Bokeh, but not Dash ... Dataiku since version 8 (Public webapps — Dataiku DSS 8.0 documentation).

Webapps and security — Dataiku DSS 13 documentation

Authentication of webapp users · Run-as-user · Identifying users from within a webapp. Standard webapp. Bokeh webapp. Dash webapp · Impersonating users from within ...

Dash web apps — Dataiku DSS 13 documentation

Contrary to Bokeh, Dash is not installed by default in DSS. We recommend that you create and use a code environment. You need to install the dash package ...

DSS and Python - Dataiku Documentation

DSS includes deep integration with Python. In many parts of DSS, you can write Python code: In recipes. In Jupyter notebooks. In standard webapp backends.

Welcome to Bokeh — Bokeh 0.13.0 documentation

Its goal is to provide elegant, concise construction of versatile graphics, and to extend this capability with high-performance interactivity over very large or ...

“Standard” web apps — Dataiku DSS 13 documentation

A Python backend is a Python file which uses the Flask library. In the Python code, declare your Flask routes, and query them from the JS part using any AJAX ...

dataiku/dss-visual-edit: Spin up a visual app to validate and edit data

The documentation website for Visual Edit is at https://dataiku.github.io/dss-visual-edit/. Quick Links: For Data Experts: Installation; User guides: Use ...

DSS 13 Release notes - Dataiku Documentation

You are viewing the documentation for version 13 of DSS. » Release notes Open page in a new tab. Release notes¶.

Upload to Dataiku DSS in a Webapp

Shiny offers a fileInput widget, but Python APIs for DSS's managed folders are more convenient to use. Since Bokeh requires coding the uploading widget yourself ...

Exploring Dataiku DSS 12.6: Harness the Power of Generative AI

... with a number of other product integrations to expedite development and documentation efforts. ... Dataiku DSS 12.6 (13). Powerful ...

Publish a Code Studio as a webapp - Dataiku Documentation

You are viewing the documentation for version 13 of DSS. » Code Studios ... DSS-webapp-managed frameworks, Flask, Bokeh, Shiny and Dash. Building a ...