Analyze your Twitter data in Jupyter

Getting your data from Twitter 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 Twitter 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.

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How it works

Connect to Twitter without complicated code.

Tweets check Followers Likes

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

See the Twitter data Panoply collects

Connect to Jupyter and start analyzing in minutes.

Tweets check Followers Likes

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 Twitter 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 Twitter in minutes

On Twitter’s social media platform, individuals and enterprises share photos and talk about almost anything they want to in 160 characters or less. Posts can include links to items for sale and to e-commerce or other websites. The platform collects data on views, likes, shares, clicks, and overall audience engagement. Sales aren’t the only way that businesses can benefit from their Twitter accounts. Analysis of Twitter engagement data can provide important marketing insights for planning campaigns targeted to specific demographics.

If you collect, process, and analyze Twitter data to grow your business, an enterprise-level ETL + Smart Data Warehouse can make the most of that data while keeping it safe. The one-click Panoply integration connects your Twitter account to a powerful, fast, and secure cloud data pipeline. With Panoply, you can automatically combine all your data sources with your Twitter data and connect to more than 100 BI tools for big-picture analysis.

Learn more:
Documentation
Twitter Data Warehousing
Twitter Business Intelligence

Our connectors

Other connectors with Twitter

Twitter +
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
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Trevor.io
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Draxlr
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Apache Zeppelin
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Birst
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CARTO
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Databricks
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GoodData
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Holistics
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IBM Cognos
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Jupyter
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Klipfolio
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KNIME
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MicroStrategy
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Pentaho
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Plotly
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PopSQL
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Julia
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Pandas
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Python
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SQL
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R
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Shiny
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ThoughtSpot
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TIBCO Spotfire X
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Yellowfin
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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
Twitter +
Facebook Posts
Twitter +
Google Ads
Twitter +
Google Analytics
Twitter +
Google Cloud Storage
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Google Drive
Twitter +
Google Search Console
Twitter +
Google Sheets
Twitter +
HubSpot
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Instagram for Business
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Intercom
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Jira
Twitter +
JSON
Twitter +
Klaviyo
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LinkedIn Ads
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MailChimp
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Microsoft Excel
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Microsoft OneDrive
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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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Quickbooks
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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
Twitter +
Stripe
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Twilio
Twitter +
Twitter Ads
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Upload Data
Twitter +
WooCommerce
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Wordpress
Twitter +
Xero
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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

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
Jupyter +
Amazon Cloudfront
Jupyter +
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
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Autopilot
Jupyter +
Azure Blob Storage
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Braintree Payments
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Branch
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BranchTrack
Jupyter +
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
Jupyter +
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
Jupyter +
GitLab
Jupyter +
Google Cloud SQL Postgres
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Google Analytics Ecommerce
Jupyter +
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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PayPal
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Pinterest
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QuickBase
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Rakuten
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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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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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Zapier
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Zendesk Chat
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Zoho CRM
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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.