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loro-crdt

v1.1.3

Published

Loro CRDTs is a high-performance CRDT framework that makes your app state synchronized, collaborative and maintainable effortlessly.

Downloads

4,534

Readme

Loro is a CRDTs(Conflict-free Replicated Data Types) library that makes building local-first and collaborative apps easier. You can now use it in Rust, JS (via WASM), and Swift.

Features

Features Provided by CRDTs

  • P2P Synchronization
  • Automatic Merging
  • Local Availability
  • Scalability
  • Delta Updates

Supported CRDT Algorithms

Advanced Features in Loro

In this example, we demonstrate importing an entire Loro codebase into a Loro-powered version controller, preserving the complete Git DAG history while enabling fast version switching.

Example

Open in StackBlitz

import { expect, test } from 'vitest';
import { LoroDoc, LoroList } from 'loro-crdt';

test('sync example', () => {
  // Sync two docs with two rounds of exchanges

  // Initialize document A
  const docA = new LoroDoc();
  const listA: LoroList = docA.getList('list');
  listA.insert(0, 'A');
  listA.insert(1, 'B');
  listA.insert(2, 'C');

  // Export all updates from docA
  const bytes: Uint8Array = docA.export({ mode: 'update' });

  // Simulate sending `bytes` across the network to another peer, B

  const docB = new LoroDoc();
  // Peer B imports the updates from A
  docB.import(bytes);

  // B's state matches A's state
  expect(docB.toJSON()).toStrictEqual({
    list: ['A', 'B', 'C'],
  });

  // Get the current version of docB
  const version = docB.oplogVersion();

  // Simulate editing at B: delete item 'B'
  const listB: LoroList = docB.getList('list');
  listB.delete(1, 1);

  // Export the updates from B since the last sync point
  const bytesB: Uint8Array = docB.export({ mode: 'update', from: version });

  // Simulate sending `bytesB` back across the network to A

  // A imports the updates from B
  docA.import(bytesB);

  // A has the same state as B
  expect(docA.toJSON()).toStrictEqual({
    list: ['A', 'C'],
  });
});

Credits

Loro draws inspiration from the innovative work of the following projects and individuals:

  • Ink & Switch: The principles of Local-first Software have greatly influenced this project. The Peritext project has also shaped our approach to rich text CRDTs.
  • Diamond-types: The Event Graph Walker (Eg-walker) algorithm from @josephg has been adapted to reduce the computation and space usage of CRDTs.
  • Automerge: Their use of columnar encoding for CRDTs has informed our strategies for efficient data encoding.
  • Yjs: We have incorporated a similar algorithm for effectively merging collaborative editing operations, thanks to their pioneering work.
  • Matthew Weidner: His work on the Fugue algorithm has been invaluable, enhancing our text editing capabilities.
  • Martin Kleppmann: His work on CRDTs has significantly influenced our comprehension of the field.