df81aece51
The event will now be ordered by (depth, container counter). Therefore, two container creation events within the same layer will be sorted based on the containers’ counter values. This approach can prevent the issue where child tree node events are received before the parent tree node events |
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.changeset | ||
.devcontainer | ||
.github/workflows | ||
.vscode | ||
crates | ||
docs | ||
examples/loro-quill | ||
scripts | ||
supply-chain | ||
.editorconfig | ||
.gitignore | ||
Cargo.lock | ||
Cargo.toml | ||
cliff.toml | ||
CONTRIBUTING.md | ||
deno.lock | ||
deny.toml | ||
LICENSE | ||
package.json | ||
pnpm-lock.yaml | ||
pnpm-workspace.yaml | ||
README.md | ||
rust-toolchain |
Loro
Make your JSON data collaborative and version-controlled 🦜
Documentation | Getting Started | Rust Doc
https://github.com/loro-dev/loro/assets/18425020/fe246c47-a120-44b3-91d4-1e7232a5b4ac
✨ Loro 1.0 is out! Read the announcement.
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
- 📝 Text Editing with Fugue
- 📙 Peritext-like Rich Text CRDT
- 🌲 Moveable Tree
- 🚗 Moveable List
- 🗺️ Last-Write-Wins Map
Advanced Features in Loro
- 🚀 Fast Document Loading
- ⏱️ Fast Time Travel Through History
- 🏛️ Version Control with Real-Time Collaboration
- 📦 Shallow Snapshot that Works like Git Shallow Clone
https://github.com/user-attachments/assets/68e0017a-4987-4f71-b2cf-4ed28a210987
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
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'],
});
});
Blog
- Loro 1.0
- Movable tree CRDTs and Loro's implementation
- Introduction to Loro's Rich Text CRDT
- Loro: Reimagine State Management with CRDTs
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.