DeepDiff is a Swift library for efficiently calculating differences between collections and models. It is designed for iOS, macOS, and Swift developers who need fast diffing when updating lists, tables, collection views, or other ordered data displays. The library relies on models conforming to a diff-aware protocol so items can be uniquely identified and compared. This makes it useful for deciding which elements were inserted, deleted, moved, or replaced between two versions of a dataset. DeepDiff helps reduce unnecessary UI reloads by making updates more targeted and animation-friendly. The repository is archived, so it is best treated as a stable reference or legacy dependency rather than an actively evolving Swift package.
Features
- Swift collection diffing library
- Insert, delete, move, and replace detection
- DiffAware model protocol
- Useful for table and collection view updates
- Animation-friendly UI data changes
- Archived read-only project