Analyze your Stripe data in Jupyter

Getting your data from Stripe to Jupyter can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.

With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Stripe and Jupyter with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.

It’s that simple: Unblock your data with Panoply.

Try Panoply Free

How it works

Connect to Stripe without complicated code.

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Automatically sync and store the data you want with table-level control.

See the Stripe data Panoply collects

Connect to Jupyter and start analyzing in minutes.

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Get started

for free

14 day free trial

Query-ready data with just a few clicks

Seamlessly update all your Jupyter reports and dashboards without lifting a finger. Set it up in minutes, then let Panoply handle the rest.
Try Panoply Free
Code-free data pipeline
Easily connect Stripe and all your other data sources with automated integrations that take pipeline management off your to-do list.
See all data source integrations
Fuel your analytics
Power BI and analytical tools like Jupyter with fresh data so your whole team can discover insights that drive your business forward.
See all BI tool integrations

Integrate with Stripe in minutes

Stripe is a financial services company that provides payment processing software and applications geared toward developers. Stripe’s developer tools are extremely robust and the Stripe Sigma interface allows programmers to create custom reports using SQL. However, merchants without a developer on their team, as well as those who want to easily blend their Stripe analytics with data from other sources, may find themselves in need of a better solution. With Panoply’s code-free cloud data platform, merchants can effortlessly sync, store, and combine their valuable Stripe data with 300+ data sources and destinations. Merchants use Panoply to combine their Stripe data with data sources like Google Ads, Magento, and HubSpot, and business intelligence tools like Power BI and Tableau, to unlock essential analytics for their business.

Learn more:
Documentation

See all integrations

Other integrations with Stripe

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CARTO
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Databricks
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IBM Cognos
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Jupyter
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Klipfolio
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Plotly
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Shiny
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Zoho Analytics
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Amazon DynamoDB
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Amazon S3
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AppsFlyer
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Asana
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BigCommerce
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BigQuery
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Bing Ads
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CSV
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Delighted
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Elasticsearch
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Facebook Ads
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Facebook Pages
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Facebook Posts
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Google Ads
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Google Analytics
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Google Cloud Storage
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Google Search Console
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Google Sheets
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Instagram for Business
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Intercom
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Jira
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JSON
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MailChimp
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Microsoft Excel
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Microsoft SQL Server
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MongoDB
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MySQL
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NetSuite
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Pardot
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PostgreSQL
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Redshift
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Salesforce
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SFTP
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Shopify
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Square
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Twitter
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Upload Data
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WooCommerce
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Wordpress
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Zendesk

Integrate with Jupyter in minutes

You live in Jupyter Notebooks for analytics and prototyping and you love the flexibility and expressiveness of Python, Pandas, R and Julia, but your business users need the ease of a user-friendly BI tool. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no code required. 

Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between the open source tool you love and the BI tool the rest of the company can’t live without—power both with Panoply.

Learn more:
Documentation

See all integrations

Other integrations with Jupyter

Jupyter +
Salesforce
Jupyter +
HubSpot
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PostgreSQL
Jupyter +
MySQL
Jupyter +
MongoDB
Jupyter +
Amazon S3
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Facebook Ads
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Google Ads
Jupyter +
Google Analytics
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Shopify
Jupyter +
Zendesk
Jupyter +
Google Sheets
Jupyter +
JSON
Jupyter +
Microsoft Excel
Jupyter +
Twitter
Jupyter +
BigQuery
Jupyter +
CSV
Jupyter +
Google Search Console
Jupyter +
Instagram for Business
Jupyter +
LinkedIn Ads
Jupyter +
Stripe
Jupyter +
BigCommerce
Jupyter +
Twitter Ads
Jupyter +
WooCommerce
Jupyter +
Asana
Jupyter +
Intercom
Jupyter +
Amazon DynamoDB
Jupyter +
AppsFlyer
Jupyter +
Bing Ads
Jupyter +
Delighted
Jupyter +
Elasticsearch
Jupyter +
Facebook Pages
Jupyter +
Facebook Posts
Jupyter +
Google Cloud Storage
Jupyter +
MailChimp
Jupyter +
Microsoft SQL Server
Jupyter +
Pardot
Jupyter +
Redshift
Jupyter +
Twilio
Jupyter +
Upload Data
Jupyter +
Wordpress
Jupyter +
Tray.io
Jupyter +
Google Drive
Jupyter +
Jira
Jupyter +
NetSuite
Jupyter +
SFTP
Jupyter +
Square
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AdRoll
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AfterShip
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Amazon Aurora PostgreSQL
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Amazon Cloudfront
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Amazon Kinesis Firehose
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Amazon Marketplace
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Apple Search Ads
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Autopilot
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Azure Blob Storage
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Braintree Payments
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Branch
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BranchTrack
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Campaign Monitor
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Chargebee
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Codat
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Google Cloud SQL MySQL
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Harvest Forecast
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Harvest
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Help Scout
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IBM DB2
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Iterable
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Klaviyo
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Lever
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Mailjet
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Marketo
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Mavenlink
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Optimizely
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Oracle Database
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Pinterest
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Amazon QuickSight
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Apache Superset
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Apache Zeppelin
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Birst
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CARTO
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Chartio
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Count
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Cumul.io
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Databricks
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Domo
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GoodData
Jupyter +
Google Data Studio
Jupyter +
Grafana
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Holistics
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IBM Cognos
Jupyter +
Julia
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Klipfolio
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KNIME
Jupyter +
Looker
Jupyter +
Metabase
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MicroStrategy
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Pandas
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Panintelligence
Jupyter +
Pentaho
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Plotly
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PopSQL
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Power BI
Jupyter +
Python
Jupyter +
Qlik
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R
Jupyter +
Redash
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SeekWell
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Shiny
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SQL
Jupyter +
Tableau
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ThoughtSpot
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Zoho Analytics

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Frequently Asked Questions

How do I connect to my data?
To start analyzing your data in , you’ll first create a connection to Panoply. Panoply stores a replica of your data and syncs it so it’s always up-to-date and ready for analysis. You can connect to your data in Panoply via an ODBC connection.
What data can I integrate with ?
Panoply allows you to integrate with over 60 data integrations including all major CRMs, databases, file systems, ad networks, analytics platforms, and finance tools. All of your data is stored in ready-to-analyze tables that can be joined together with SQL or merged in your BI tools. Integrating data for cross-channel advertising analysis, full-funnel conversion analysis, and CAC vs LTV analysis has never been so easy.
What is Panoply?
Panoply is a secure place to sync, store, and access all your business data. With 60+ data integrations, Panoply transforms scattered data into a single source of truth that’s accessible to your entire team via any BI tool or analytical notebook. Run as many queries as you’d like and add as many users as you need for one transparent price.

Technically speaking, Panoply combines user-friendly ETL (Extract, Transform, Load) data pipelines and data warehouse functionality in one platform. Get the control you need with simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.