loro/crates/loro-wasm
Leon Zhao 468a957476
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feat: impl toJSON for LoroTreeNode (#538)
* feat: impl `toJSON` for  `LoroTreeNode`
* test: add snapshot test
2024-11-05 20:11:03 +08:00
..
.cargo chore: reduce wasm size 2024-09-02 00:30:00 +08:00
deno_tests fix: define the fork behavior when the doc is detached (#537) 2024-11-04 22:34:33 +08:00
scripts Refactor: merge two js packages (#532) 2024-10-29 21:46:56 +08:00
src feat: impl toJSON for LoroTreeNode (#538) 2024-11-05 20:11:03 +08:00
tests feat: impl toJSON for LoroTreeNode (#538) 2024-11-05 20:11:03 +08:00
.gitignore Doc: loro-crdt documents in comments (#165) 2023-11-10 20:30:54 +08:00
.npmignore Refactor: merge two js packages (#532) 2024-10-29 21:46:56 +08:00
Cargo.toml feat: wasm api 1.0 (#521) 2024-10-19 17:09:03 +08:00
CHANGELOG.md chore: version packages 2024-11-04 22:45:55 +08:00
deno.lock Refactor: merge two js packages (#532) 2024-10-29 21:46:56 +08:00
index.ts Refactor: merge two js packages (#532) 2024-10-29 21:46:56 +08:00
LICENSE feat: init encoding and build pipeline for wasm 2022-12-09 10:46:30 +08:00
package.json chore: version packages 2024-11-04 22:45:55 +08:00
pnpm-lock.yaml feat: extra pkg loro-crdt to wrap loro-wasm 2023-03-24 10:08:11 +08:00
README.md Refactor: merge two js packages (#532) 2024-10-29 21:46:56 +08:00
rollup.config.mjs Refactor: merge two js packages (#532) 2024-10-29 21:46:56 +08:00
tsconfig.json Refactor: merge two js packages (#532) 2024-10-29 21:46:56 +08:00
vite.config.ts Refactor: merge two js packages (#532) 2024-10-29 21:46:56 +08:00
yarn.lock Doc: loro-crdt documents in comments (#165) 2023-11-10 20:30:54 +08:00

Loro

Reimagine state management with CRDTs 🦜
Make your app state synchronized and collaborative effortlessly.

loro-dev%2Floro | Trendshift

Documentation | Getting Started | Rust Doc

Loro 1.0 is out! Read the announcement.

Loro is a CRDTs(Conflict-free Replicated Data Types) library that makes building local-first apps easier. It is currently available for JavaScript (via WASM) and Rust developers.

Features

Basic 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', () => {
  /**
   * Demonstrates synchronization of two documents 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 the state of document A as a byte array
  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);

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

  // Get the current operation log version of document B
  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 synchronization 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);

  // Verify that the list at A now matches the list at B after merging
  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.