About Quilt
Last updated
Was this helpful?
dev
Last updated
Was this helpful?
Quilt connects teams to actionable data by simplifying data discovery, sharing, and analysis. It’s designed to serve data-driven organizations with powerful tools for managing data as code, enabling rapid experimentation, and ensuring data integrity at scale.
Quilt consists of three main elements:
which is a cloud platform for interacting with, visualizing, searching and querying Quilt Packages, which is hosted in an organization's AWS Account.
which provides the ability to create, push, install and delete Quilt Packages.
which provide extension of the core Quilt Capabilities to enable typical elements of life sciences workflows, such as incorporating orchestration data, and connecting packages to Electronic Lab Notebooks.
To dive deeper into the capabilities of Quilt, start with our or explore the for setting up your environment.
If you have any questions or need help, join our or submit a support request to .
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 embeddable 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.
Share: Easily share versioned data using simple URLs and email invites.
Understand: Enrich data with inline documentation and visualizations for better insights.
Discover: Use metadata and search tools to explore data relationships across projects.
Model: Version and manage large data sets that don't fit traditional git repositories.
Decide: Empower your team with auditable data for better decision-making.
- Learn how Quilt is architected.
- Understand the guiding principles behind Quilt.
- Manage metadata at scale.
- Navigate through S3 buckets.
- Visualize documents and datasets directly in the web interface.
- Leverage Quilt’s powerful search capabilities.
- Create visual dashboards for data insights.
- Control platform settings and user access.
- Set platform preferences.
- Manage multi-account access to S3 data.
- Get started with the Quilt SDK.
- Follow a step-by-step guide to building and managing data packages.
- Learn how to version, edit, and share data.
- Detailed API documentation for developers.
- Package electronic lab notebooks from Benchling.
- Integrate with Nextflow pipelines for bioinformatics.