Analyze your Jira data in Python

Getting your data from Jira 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 Jira 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 Jira without complicated code.

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

See the Jira data Panoply collects

Connect to Python and start analyzing in minutes.

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Get started

for free

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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.
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Code-free data pipeline
Easily connect Jira 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 Jira in minutes

Jira is an “issue management” tool that is used for bug tracking and project management in the mobile app and software fields. Panoply makes adding Jira data to your own Smart Data Warehouse seamless. With only a few clicks, Panoply imports all of your Jira data into your warehouse without requiring an ETL process in place. Once there, your data can be combined with any other data sources, and given to your analysts and IT staff for immediate review.

With Panoply, it becomes easier to store, access, query, and report on your Jira data. Whether you are analyzing the bugs in your program or reporting on the status of your system, Panoply’s end to end data management tool makes the process fast and easy.

Learn more:
Jira Data Warehousing
Jira Business Intelligence

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Other connectors with Jira

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Panintelligence
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Metabase
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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
Jira +
Databricks
Jira +
GoodData
Jira +
Holistics
Jira +
IBM Cognos
Jira +
Jupyter
Jira +
Klipfolio
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KNIME
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MicroStrategy
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Pentaho
Jira +
Plotly
Jira +
PopSQL
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Julia
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Pandas
Jira +
Python
Jira +
SQL
Jira +
R
Jira +
Shiny
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ThoughtSpot
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TIBCO Spotfire X
Jira +
Yellowfin
Jira +
Zoho Analytics
Jira +
Amazon DynamoDB
Jira +
Amazon S3
Jira +
AppsFlyer
Jira +
Asana
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BigCommerce
Jira +
BigQuery
Jira +
Bing Ads
Jira +
CSV
Jira +
Delighted
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Elasticsearch
Jira +
Facebook Ads
Jira +
Facebook Pages
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Facebook Posts
Jira +
Google Ads
Jira +
Google Analytics
Jira +
Google Cloud Storage
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Google Drive
Jira +
Google Search Console
Jira +
Google Sheets
Jira +
HubSpot
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Instagram for Business
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Intercom
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JSON
Jira +
Klaviyo
Jira +
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
Jira +
NetSuite
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Pardot
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PostgreSQL
Jira +
Quickbooks
Jira +
Redshift
Jira +
Salesforce
Jira +
SFTP
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Shopify
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Square
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Stripe
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Twilio
Jira +
Twitter Ads
Jira +
Twitter
Jira +
Upload Data
Jira +
WooCommerce
Jira +
Wordpress
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Xero
Jira +
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

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Other connectors with Python

Python +
Salesforce
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HubSpot
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PostgreSQL
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MySQL
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MongoDB
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Amazon S3
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Facebook Ads
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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
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Azure Blob Storage
Python +
Braintree Payments
Python +
Branch
Python +
BranchTrack
Python +
Campaign Monitor
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CaptivateIQ
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Chargebee
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Clari
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Close
Python +
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
Python +
Desk
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Drip
Python +
Dropbox
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EasyPayDirect
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Eloqua
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Enchant
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FormKeep
Python +
Freshdesk
Python +
Front
Python +
GitHub
Python +
GitLab
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Google Cloud SQL Postgres
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Google Analytics Ecommerce
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Google Cloud SQL MySQL
Python +
Grin
Python +
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
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
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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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Spree Commerce
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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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WeInfuse
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Zapier
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Zendesk Chat
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Zendesk Sell
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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.