GitHub Connector

Automatically sync your GitHub data with your BI tool, data warehouse, or spreadsheet using Windsor.ai’s no-code ELT connector.

Turn repository activity, pull requests, and workflow runs into actionable insights and use them to improve team performance and release velocity.

Forget CSVs. Stop copy/paste. Connect data in 2 minutes. No code required.

Try It for Free View documentation

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Make the most out of your GitHub data with Windsor.ai

Focus on the data that matters by choosing from our extensive documentation or easily creating custom fields.

95 metrics652 dimensions

Pull Request Commits Issue Comments Workflow Run Attempt Repository Forks Count Contributor Activity Total

Data fields documentation

Leverage our pre-built, customizable dashboard templates for a comprehensive performance overview tailored to your data needs.

View templates

Send your GitHub data to any destination

Import your GitHub data into any destination using Windsor.ai.

Data Studio

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Google Sheets

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ChatGPT

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Claude

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Power BI

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Excel

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Tableau

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Google BigQuery

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Amazon S3

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Azure Blob Storage

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Snowflake

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MySQL

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PostgreSQL

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Python

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Azure SQL

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Amazon Redshift

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Databricks

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Windsor MCP

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Microsoft Fabric

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Copilot Agent

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Perplexity

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Lovable

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Antigravity

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Supabase

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Extract and load GitHub data effortlessly with Windsor.ai's connector

Integrating GitHub data into your external analytics stack typically requires custom API work, time-consuming data prep, or costly tools.

Windsor.ai makes the process effortless with a no-code ELT connector that automatically syncs your GitHub data to your preferred destination with just a few clicks.

With Windsor.ai's GitHub connector, you can:

Stream GitHub repository, issue, pull request, and workflow data to 20+ destinations automatically.
Track PR cycle times, code review activity, and deployment frequency in real time across all your repositories.
Store and centralize historical development data for long-term trend analysis and team benchmarking.
Set up quickly and go straight to insights with ready-to-use, customizable dashboard templates.

Join over 17,000+ businesses that trust Windsor.ai to streamline GitHub data integration

How to export GitHub data with the Windsor.ai connector

Sign up and start for free

Create your Windsor.ai account and log in.

Select GitHub as a data source

In your dashboard, connect GitHub data source, select the necessary account(s), and grant access to Windsor.ai.

Choose report fields and metrics

Select the fields that you’d like to add to your report. For example, you can include metrics such as Repository Forks Count, Pull Request Additions, Issue Comments, Time Milestone Open Issues, and many more.

Select a data destination

Choose a destination where you want to stream your GitHub data.

FAQs

What is GitHub?

GitHub is the leading platform for software development and version control, enabling teams to collaborate on code, manage repositories, track issues, and streamline delivery pipelines. As a data source, it provides rich insights into repository activity, team productivity, issue resolution, and release cycles, making it essential for understanding the health and efficiency of development workflows.

Why use Windsor.ai's GitHub connector?

Windsor.ai’s GitHub connector automates the entire data pipeline, instantly syncing repositories, pull requests, issues, and workflow data with your preferred destination, cutting data preparation time by over 50%.

It enables teams to analyze contributor activity, CI/CD performance, and code review trends directly in their BI tool or data warehouse, without manual exports, custom API work, or ongoing pipeline maintenance.

What data can I extract from GitHub using Windsor.ai?

Windsor.ai gives you access to a comprehensive range of GitHub data, including:

Pull requests and stats: additions, deletions, changed files, commits, comments, review comments, merge status, and timestamps.
Issues and milestones: issue state, comments, labels, assignees, open/closed counts per milestone.
Repositories: stargazers, forks, open issues, size, language, visibility, and branch data.
Workflows and jobs: run status, conclusion, attempt count, job names, and runner data.
Commits and branches: commit author, branch, SHA, and timestamps.
Contributors: total contributions, weekly activity, and contributor identity.
Deployments: environment, status, production flag, and timestamps.
Organizations and teams: collaborator counts, permissions, membership, and security settings.
Releases: publish dates, mention counts, draft/prerelease flags.

How long does it take to sync GitHub to a destination using Windsor.ai?

With Windsor.ai’s intuitive interface, the integration process takes a few minutes. No technical expertise is required; connecting GitHub data is simple, straightforward, and completely code-free.

How much does it cost to integrate GitHub with Windsor.ai?

Windsor.ai’s pricing for GitHub data integration varies depending on your use case and data volume. We offer absolutely transparent, volume-based event pricing plans for diversified business needs and budgets.

Do you have helpful links to get started with integrating GitHub and Windsor.ai?

Yes, we have helpful resources to help you get started. You can explore our official documentation for GitHub data integration into a chosen destination, available GitHub data fields, and ready-to-use templates: