A Single Source of Truth for Plotly and Jupyter
Power consistent reporting and analysis with Panoply.
Sync and store data from over 30+ sources. Keep all your business units happy by connecting their favorite BI tools.Panoply in 30 seconds
See how easy it is to centralize your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing all your business data.
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Fuel your analytics
Panoply automatically organizes data from over 30 sources into query-ready tables and connects to popular BI tools and analytical notebooks. From executives to analysts, your entire team will have access to consistent, up-to-date data, no matter which BI tool they prefer.
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Code-free data pipeline
Seamlessly sync all your business data to Plotly and Jupyter using Panoply’s built-in ETL. Set up a pipeline in minutes with our simple point-and-click interface, then we’ll handle the ongoing maintenance so you can focus on building reports, not fixing leaky plumbing.
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All your data in one place
Centralize your data by syncing and storing data from over 30 sources. Break down the silos separating your business data while enabling users to create reporting and discover insights in their favorite BI tool.
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Integrate with Plotly in minutes
Plotly provides two paid BI tools to meet the needs of business enterprise and the community. Plotly maintains open source libraries on GitHub for Python, JavaScript and R. Whether you use Plotly’s open source libraries, its paid tools, or both, the Panoply Plotly integrator provides all-in-one ETL to automate the data upload, transform and output process. Panoply extracts all data types to one place, sorts and simplifies, and streams continuously to your Plotly charts and web apps. So the output you see is always based on real-time data.
Other integrations with Plotly
Integrate with Jupyter in minutes
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.
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Seamlessly Sync All Your Business Data to Plotly & Jupyter Free for 14 days.