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

Free 21-Day Proof of Value

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
Stripe Data Warehousing
Stripe Business Intelligence

Our connectors

Other connectors with Stripe

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Count
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Tableau
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Power BI
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Looker
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Luzmo
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Mode Analytics
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Panintelligence
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Metabase
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Looker Studio
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Redash
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Apache Superset
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SeekWell
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Amazon QuickSight
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Domo
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Grafana
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Qlik
Stripe +
Trevor.io
Stripe +
Draxlr
Stripe +
Apache Zeppelin
Stripe +
Birst
Stripe +
CARTO
Stripe +
Databricks
Stripe +
GoodData
Stripe +
Holistics
Stripe +
IBM Cognos
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Jupyter
Stripe +
Klipfolio
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KNIME
Stripe +
MicroStrategy
Stripe +
Pentaho
Stripe +
Plotly
Stripe +
PopSQL
Stripe +
Julia
Stripe +
Pandas
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Python
Stripe +
SQL
Stripe +
R
Stripe +
Shiny
Stripe +
ThoughtSpot
Stripe +
TIBCO Spotfire X
Stripe +
Yellowfin
Stripe +
Zoho Analytics
Stripe +
Amazon DynamoDB
Stripe +
Amazon S3
Stripe +
AppsFlyer
Stripe +
Asana
Stripe +
BigCommerce
Stripe +
BigQuery
Stripe +
Bing Ads
Stripe +
CSV
Stripe +
Delighted
Stripe +
Elasticsearch
Stripe +
Facebook Ads
Stripe +
Facebook Pages
Stripe +
Facebook Posts
Stripe +
Google Ads
Stripe +
Google Analytics
Stripe +
Google Cloud Storage
Stripe +
Google Drive
Stripe +
Google Search Console
Stripe +
Google Sheets
Stripe +
HubSpot
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Instagram for Business
Stripe +
Intercom
Stripe +
Jira
Stripe +
JSON
Stripe +
Klaviyo
Stripe +
LinkedIn Ads
Stripe +
MailChimp
Stripe +
Microsoft Excel
Stripe +
Microsoft OneDrive
Stripe +
Microsoft SQL Server
Stripe +
MongoDB
Stripe +
MySQL
Stripe +
NetSuite
Stripe +
Pardot
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PostgreSQL
Stripe +
Quickbooks
Stripe +
Redshift
Stripe +
Salesforce
Stripe +
SFTP
Stripe +
Shopify
Stripe +
Square
Stripe +
Twilio
Stripe +
Twitter Ads
Stripe +
Twitter
Stripe +
Upload Data
Stripe +
WooCommerce
Stripe +
Wordpress
Stripe +
Xero
Stripe +
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

Our connectors

Other connectors with Jupyter

Jupyter +
Salesforce
Jupyter +
HubSpot
Jupyter +
PostgreSQL
Jupyter +
MySQL
Jupyter +
MongoDB
Jupyter +
Amazon S3
Jupyter +
Facebook Ads
Jupyter +
Google Ads
Jupyter +
Google Analytics
Jupyter +
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 +
Xero
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 +
Google Drive
Jupyter +
Jira
Jupyter +
Klaviyo
Jupyter +
Microsoft OneDrive
Jupyter +
NetSuite
Jupyter +
Quickbooks
Jupyter +
SFTP
Jupyter +
Square
Jupyter +
AdRoll
Jupyter +
AfterShip
Jupyter +
Amazon Ads
Jupyter +
Amazon Aurora PostgreSQL
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Amazon Cloudfront
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Amazon Kinesis Firehose
Jupyter +
Amazon Marketplace
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Amazon Seller
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Apple App Store
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Apple Search Ads
Jupyter +
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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CaptivateIQ
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Chargebee
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Clari
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Close
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Codat
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Contact Pigeon
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Contentful
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Crashlytics
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Criteo
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Customer.io
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Desk
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Drip
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Dropbox
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EasyPayDirect
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Eloqua
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Enchant
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FormKeep
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Freshdesk
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Front
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GitHub
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GitLab
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Google Cloud SQL Postgres
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Google Analytics Ecommerce
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Google Cloud SQL MySQL
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Grin
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Harvest Forecast
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Harvest
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Help Scout
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Heroku Postgres
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IBM DB2
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Invoiced
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Iterable
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Kandji
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LeafLink
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Lever
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Magento
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Mailjet
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MariaDB
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Marketo
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Mavenlink
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Maverick Payments
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Maxio
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Optimizely
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Oracle Database
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Particle
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Payline
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Pinterest
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QuickBase
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Recharge
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Recurly
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Reddit
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Referral SaasQuatch
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RingCentral
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Sailthru
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Salesforce Marketing Cloud
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Selligent
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SendGrid
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Sendwithus
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SentinelOne
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Shippo
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Sparkpost
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SphereWMS
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Taboola
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Teachable
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TikTok
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Tray.io
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Trello
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Typeform
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Urban Airship
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Vero
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Webhooks
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Zoom
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Zuora

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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 multiple data sources 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 our data connectors, 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.