# quiltdata/quilt

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.

Repository: https://github.com/quiltdata/quilt
Canonical: https://ross.abutalabs.com/products/quiltdata-quilt
Homepage: https://quilt.bio
Language: TypeScript
License: Apache-2.0
License Family: permissive
Topics: data, data-engineering, data-version-control, data-versioning, python, serialization, parquet
Last push: 2026-08-26T18:39:30+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 3491, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1370, forks 90 (observed 2026-08-28T04:04:31.889279+00:00)

## What it is
Quilt is a scientific data management platform built on AWS that turns S3 data into deeply versioned, metadata-rich data packages for teams and AI to find, trust, and reuse. The open-source portion provides a Python SDK (quilt3) and CLI for creating, installing, and uploading packages, while the enterprise platform adds hosted search, visualization, and governance.

## Use cases
- version and package scientific datasets stored in S3
- manage omics and NGS pipeline data with reproducibility
- bundle data with metadata and lineage for reuse
- make lab instrument data searchable and shareable
- prepare AI-ready versioned datasets in your own AWS account
- push and pull data packages from Python or the CLI

## When to choose
- your team works with large scientific or life-sciences datasets on AWS S3
- you need data versioning, lineage, and documentation alongside raw files
- you want governed, reproducible data packages without migrating data off S3

## When to avoid
- you need only the hosted search and visualization catalog without the enterprise platform
- your data is not on AWS or you cannot use S3
- you want a lightweight general-purpose data versioning tool outside the AWS ecosystem

## Facets
- artifact type: application
- maturity: active
- function: database, search-engine, serialization, sdk, cli, data-science, etl
- domain: data-science, bioinformatics, healthcare, cloud-computing, self-hosted
- platform: cloud, python
- tags: data-versioning, data-packages, s3, data-lake, scientific-data-management, parquet, lineage, reproducibility, life-sciences, data-engineering, typescript, web-server, docker

## Member repositories
- quiltdata/quilt (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:31.889279+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:40:56.193205+00:00, confidence not recorded.
  - readme: https://github.com/quiltdata/quilt (fetched 2026-08-28T04:04:31.889279+00:00, sha 88fea04678ae)
  - homepage: https://quilt.bio (fetched 2026-08-29T11:58:06.193596+00:00, sha 3d14c47263b8)
  - site_page: https://www.quilt.bio/pricing (fetched 2026-08-29T11:58:06.204921+00:00, sha 9d85a1fb397c)
  - site_page: https://www.quilt.bio/platform?hsLang=en (fetched 2026-08-29T11:58:06.206867+00:00, sha 1a1b0dfa68ac)
- Data as of 2026-08-30T08:39:29.467469+00:00.