GraphCanon updated 3w · GitHub synced 3w
Decision brief
Quilt is a platform focused on managing scientific and AI-related datasets through detailed version control and context-rich data packages hosted on AWS.
Good fit when
- When your team requires in-depth version control for complex scientific datasets, ensuring that every change to the dataset is tracked and documented.
- If you are working with machine learning projects where maintaining historical versions of data is crucial for reproducing results or debugging models.
Avoid when
- Not recommended if you prefer on-premises solutions over AWS-hosted services, as Quilt operates exclusively within the Amazon Web Services ecosystem.
- If your project involves handling simple and static datasets where traditional CVS tools suffice. The overhead of using a specialized solution like Quilt might not justify its use.
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (1,367) are secondary evidence.
- npm downloads (30d)
- 33·npm downloads API·3w
Maintenance and security
Full trust report- Maintenance
- Very active (2d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install quilt npmSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Quilt is a platform designed to help teams manage scientific and AI-related datasets by providing deep version control and context-rich data packages.
Capability facts
- Languages
- typescript
Source: github.language · Aug 3, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 3, 2026)
2. Install Python task runner:Source link
Tags
README
Quick Start for Contributors
-
Clone and create a branch:
git clone https://github.com/quiltdata/quilt cd quilt git checkout -b my-change -
Install Python task runner:
# macOS/Linux curl -LsSf https://astral.sh/uv/install.sh | sh -
Run Python tests:
cd api/python uv run poe test -
Run catalog locally:
cd catalog npm install npm start
For full setup, testing, and release steps, see docs/CONTRIBUTING.md.
For agents
This page has a .md twin and JSON over the API.