# dtinit/data-transfer-project

The Data Transfer Project makes it easy for platforms to build interoperable user data portability features. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers.

Repository: https://github.com/dtinit/data-transfer-project
Canonical: https://ross.abutalabs.com/products/data-transfer-project
Homepage: https://dtinit.org/docs/dtp-what-is-it
Language: Java
License: Apache-2.0
License Family: permissive
Topics: data, transfer, portability, data-portability
Last push: 2026-08-25T15:08:33+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": 3163, "days_push": 8, "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 3619, forks 499 (observed 2026-08-28T04:08:11.840316+00:00)

## What it is
An open-source framework providing common data models and adapter libraries that enable direct service-to-service transfer of user data between online platforms. Platforms embed it to offer interoperable data portability features without requiring users to download and re-upload their content.

## Use cases
- transfer user data directly between two online services
- add data portability features to my platform
- let users move photos and posts from one service to another without downloading
- implement import and export adapters for service APIs
- avoid expensive download-and-upload data migration flows

## When to choose
- you are an online service provider wanting to offer direct data portability to users
- you need a common framework and adapter ecosystem for service-to-service transfers
- you support consumer data verticals like photos, contacts, calendars, or social posts

## When to avoid
- you need a simple one-off personal data export tool rather than a platform integration
- you need enterprise data migration rather than consumer data portability
- you cannot tolerate early-stage code that requires thorough testing before implementation

## Facets
- artifact type: framework
- maturity: active
- function: etl, auth, api-framework, sdk
- domain: privacy, apis, developer-tools, self-hosted
- platform: jvm, cloud, self-hosted
- tags: data-portability, data-transfer, interoperability, adapters, service-to-service, user-data, data-engineering, web-server

## Member repositories
- dtinit/data-transfer-project (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:11.840316+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 2026-08-29T18:31:59.237526+00:00, confidence not recorded.
  - readme: https://github.com/dtinit/data-transfer-project (fetched 2026-08-28T04:08:11.840316+00:00, sha ad7f65b3c2ee)
  - homepage: https://dtinit.org/docs/dtp-what-is-it (fetched 2026-08-29T09:26:37.367242+00:00, sha 86436807fd92)
  - site_page: https://dtinit.org/about (fetched 2026-08-29T09:26:37.372664+00:00, sha bd11fcfb0953)
  - site_page: https://dtinit.org/docs/dtp-intro-for-contributors (fetched 2026-08-29T09:26:37.375634+00:00, sha 0cb32551ba44)
- Data as of 2026-08-30T08:39:29.467469+00:00.