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.

A common framework enabling companies to work together to protect consumers' privacy and data rights.

GDPR compliance with ease.

TypeScript implementation of the Vana Data Portability Protocol's Personal Server

Backs up a GitHub organization's repositories and all their associated information for archival purposes.

The only multi-platform community migration tool. Free your community!

Distributed data mesh for real-time access, migration, and replication across diverse databases — built for AI, security, and scale.

Portable AI memory from your conversations and data exports.

Create an independent profile on the web within minutes with your Blockstack ID

Java Parser for Google Takeout data

Analyse & convert data from online services for backup, indexing or migration purpose

Data Privacy platform that helps create and manage DSR requests from the users

A collection of articles to help find solutions for data portability

Open standard for portable AI memory interchange — JSON-LD + Markdown dual format with W3C PROV provenance, bi-temporal tracking, entity relationships, and Obsidian-native support.

TypeScript implementation of the Vana Data Portability Protocol's Personal Server

Inbox Archeology is a local-first tool that analyzes your Gmail Takeout export to reconstruct the social history of your inbox.

JSON Parser for facebook data

The goal of this project is to make it really easy and quick to transfer data between participants in the real estate investment management industry.

A structured search frontend for portability articles to help people find solutions and help us learn about needs

DLRS: Privacy-first digital life archive standard for consent governance, AI avatars, and digital legacy records | 数字生命仓库标准