GraphCanon updated Sep 28, 2026 · GitHub synced Sep 28, 2026
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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 (1,370) are secondary evidence.
- npm downloads (30d)
- 50·npm downloads API·Sep 28, 2026
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 28, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 28, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
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 · Sep 28, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 28, 2026)
2. Install Python task runner:Source link
Tags
README
Quick Start for Contributors 1. Clone and create a branch: 2. Install Python task runner: 3. Run Python tests: 4. Run catalog locally: For full setup, testing, and release steps, see .
For agents
This page has a .md twin and JSON over the API.