Analyze your Microsoft Excel data in Python

Getting your data from Microsoft Excel to Python 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 Microsoft Excel and Python 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 Microsoft Excel without complicated code.

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

See the Microsoft Excel data Panoply collects

Connect to Python 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 Python 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 Microsoft Excel 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 Python with fresh data so your whole team can discover insights that drive your business forward.
See all BI tool integrations

Integrate with Microsoft Excel in minutes

People and businesses all over the world rely on Microsoft Excel to process, analyze, and display their data. This classic BI tool has some new modern features. Examples are learned intelligence that organizes your data based on recognized patterns, prebuilt advanced formulas and one-click templates for predictive charts, and real-time collaboration in shared files. You can add fast, automated data management and cloud convenience and security to Excel with the Panoply integration. Panoply manages your data in the only fully integrated cloud service that combines an automated ETL with a data warehouse. It continuously uploads, sorts, and stores all your latest data in one place, saving you time and data prep effort. The Panoply ETL pipeline streams your latest, cleanest data to your Excel charts and graphs, so they always display the most relevant results.

Learn more:
Documentation
Microsoft Excel Data Warehousing
Microsoft Excel Business Intelligence

Our connectors

Other connectors with Microsoft Excel

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

Integrate with Python in minutes

Love the power of Python for analytics and machine learning but need a way to support it alongside other BI tools? Panoply makes it easy to pipe data to multiple analytics tools with 30+ code-free connectors you can set up in minutes.

Along with eliminating API configuration and maintenance, Panoply automatically stores a copy of your data in the cloud, making your queries faster and more stable. Plus, by powering all your BI and analytics tools with the same centralized data you can ensure that key metrics are consistent across the company, no matter who’s doing the reporting.

Learn more:
Documentation

Our connectors

Other connectors with Python

Python +
Salesforce
Python +
HubSpot
Python +
PostgreSQL
Python +
MySQL
Python +
MongoDB
Python +
Amazon S3
Python +
Facebook Ads
Python +
Google Ads
Python +
Google Analytics
Python +
Shopify
Python +
Zendesk
Python +
Google Sheets
Python +
JSON
Python +
Microsoft Excel
Python +
Twitter
Python +
BigQuery
Python +
CSV
Python +
Google Search Console
Python +
Instagram for Business
Python +
LinkedIn Ads
Python +
Stripe
Python +
Xero
Python +
BigCommerce
Python +
Twitter Ads
Python +
WooCommerce
Python +
Asana
Python +
Intercom
Python +
Amazon DynamoDB
Python +
AppsFlyer
Python +
Bing Ads
Python +
Delighted
Python +
Elasticsearch
Python +
Facebook Pages
Python +
Facebook Posts
Python +
Google Cloud Storage
Python +
MailChimp
Python +
Microsoft SQL Server
Python +
Pardot
Python +
Redshift
Python +
Twilio
Python +
Upload Data
Python +
Wordpress
Python +
Google Drive
Python +
Jira
Python +
Klaviyo
Python +
Microsoft OneDrive
Python +
NetSuite
Python +
Quickbooks
Python +
SFTP
Python +
Square
Python +
AdRoll
Python +
AfterShip
Python +
Amazon Ads
Python +
Amazon Aurora PostgreSQL
Python +
Amazon Cloudfront
Python +
Amazon Kinesis Firehose
Python +
Amazon Marketplace
Python +
Amazon Seller
Python +
Apple App Store
Python +
Apple Search Ads
Python +
Autopilot
Python +
Azure Blob Storage
Python +
Braintree Payments
Python +
Branch
Python +
BranchTrack
Python +
Campaign Monitor
Python +
CaptivateIQ
Python +
Chargebee
Python +
Clari
Python +
Close
Python +
Codat
Python +
Contact Pigeon
Python +
Contentful
Python +
Crashlytics
Python +
Criteo
Python +
Customer.io
Python +
Desk
Python +
Drip
Python +
Dropbox
Python +
EasyPayDirect
Python +
Eloqua
Python +
Enchant
Python +
FormKeep
Python +
Freshdesk
Python +
Front
Python +
GitHub
Python +
GitLab
Python +
Google Cloud SQL Postgres
Python +
Google Analytics Ecommerce
Python +
Google Cloud SQL MySQL
Python +
Grin
Python +
Harvest Forecast
Python +
Harvest
Python +
Help Scout
Python +
Heroku Postgres
Python +
IBM DB2
Python +
Invoiced
Python +
Iterable
Python +
Kandji
Python +
LeafLink
Python +
Lever
Python +
Magento
Python +
Mailjet
Python +
MariaDB
Python +
Marketo
Python +
Mavenlink
Python +
Maverick Payments
Python +
Maxio
Python +
Optimizely
Python +
Oracle Database
Python +
Particle
Python +
Payline
Python +
PayPal
Python +
Pinterest
Python +
Pipedrive
Python +
Pivotal Tracker
Python +
QuickBase
Python +
Rakuten
Python +
Recharge
Python +
Recurly
Python +
Reddit
Python +
Referral SaasQuatch
Python +
RingCentral
Python +
Sailthru
Python +
Salesforce Marketing Cloud
Python +
Selligent
Python +
SendGrid
Python +
Sendwithus
Python +
SentinelOne
Python +
Shippo
Python +
Sparkpost
Python +
SphereWMS
Python +
Spree Commerce
Python +
Taboola
Python +
Teachable
Python +
TikTok
Python +
Tray.io
Python +
Trello
Python +
Typeform
Python +
Urban Airship
Python +
Vero
Python +
Webhooks
Python +
WeInfuse
Python +
Zapier
Python +
Zendesk Chat
Python +
Zendesk Sell
Python +
Zoho CRM
Python +
Zoom
Python +
Zuora

Try It Now

Start syncing your data to now. Free 21-Day Proof of Value.

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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.