Quilt is a Scientific Data Management Platform on AWS that helps teams and AI find, trust, and reuse data through deeply versioned, context-rich data packages.
Quilt consists of three main elements:
To dive deeper into the capabilities of Quilt, start with our Quick Start Guide or explore the Installation Instructions for setting up your environment.
If you have any questions or need help, join our Slack community or submit a support request to support@quilt.bio.
The Quilt documentation is structured to guide users through different layers of the platform, from basic concepts to advanced integrations. Whether you’re a business user, developer, or platform administrator, the docs will help you quickly find the information you need.
The Quilt Platform powers the core features of the Quilt data catalog, providing tools for browsing, searching, and visualizing data stored in AWS S3. The platform is ideal for teams needing to collaborate on data, with capabilities like document previews and metadata collection.
Core Sections:
For users of the Quilt Platform (often referred to as the Catalog):
For administrators managing Quilt deployments:
The Quilt Python SDK allows users to programmatically manage data packages, version datasets, and automate data workflows. Whether you’re uploading a package, fetching data, or scripting custom workflows, the SDK provides the flexibility needed for deeper integrations.
The Quilt Ecosystem extends the platform with integrations and plugins to fit your workflow. Whether you’re managing scientific data or automating packaging tasks, Quilt can be tailored to your needs with these tools:
Quilt is for teams across industries like machine learning, biotech, and analytics who need to manage large datasets, collaborate seamlessly, and track the lifecycle of their data. Whether you’re a data scientist, engineer, or administrator, Quilt helps streamline your data management workflows.