Panoply makes it easy to integrate with Jupyter.

Automate your Jupyter Notebook workflow by integrating with Panoply

With open source Jupyter Notebook, programmers create and share interactive code, visual graphics, and text. This BI tool supports script in over 40 languages. It integrates to large data platforms like Apache Spark from Python, R and Scala. You can share Jupyter Notebook work through email, Dropbox, GitHub or the Jupyter Notebook Viewer. As with any data operations, you need an ETL to extract, transform and output your Jupyter Notebook code work. Panoply’s Jupyter Notebook integration makes the ETL process easy and seamless. This fully automated pipeline manages the entire ETL workflow on the cloud in real time. With Panoply, your data is continuously uploaded, cleaned and streamed to the client side. So the output you share is always the most relevant and up to date.

How Panoply Works with Jupyter

Panoply automates the collection, modeling, and scaling of any data
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Combine data from Jupyter and other integrations

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Librato
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Bing Ads
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Nielsen
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Redash
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Talend
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Instagram
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Amazon Kinesis Firehose
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WebFOCUS
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Bime
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Spree Commerce
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HubSpot
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Facebook Posts
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Ocado
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Tableau
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LinkedIn
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Indicative
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Birst
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Mailjet
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Stitch
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Sparkpost
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Asana
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Buffer
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Statsbot
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JIRA
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Pendo
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Google Adwords
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Attunity
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Google Cloud Storage
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Salesforce Marketing Cloud
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Heroku Postgres
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MongoDB
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Twitter Ads
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Shiny
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Facebook Ads
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Pyramid Analytics
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Sybase
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MailChimp
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Get up and running now with Panoply and Jupyter

Upload and start analyzing your data sources in minutes

Learn more about platform features