DifferenceKit: O(n) Diffing for Swift Collections and Batch UI Updates
đź’» A fast and flexible O(n) difference algorithm framework for Swift collection.
At a glance
- What is it?
- DifferenceKit is an Apache-2.0 Swift framework that computes diffs between collections in linear time using an approach based on Paul Heckel's algorithm, then splits those diffs into stages that UITableView and UICollectionView can apply without crashing. It is for iOS, macOS, tvOS, watchOS and Linux developers who animate list changes and need a data source that stays in sync.
- Who is it for?
- Adopt DifferenceKit if you animate UITableView or UICollectionView batch updates and want a diffing library you can read end to end, with Apache-2.0 terms and no runtime dependency beyond Swift. Do not adopt it if your list is small enough that reloadData is fine, or if your UI layer already supplies a diffing API you are happy with.
- Can I use it commercially?
- Yes. Apache-2.0 is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
- Is it still maintained?
- Yes. The repository last received commits 99 days ago.
- What is it written in?
- Mainly Swift, according to GitHub's language statistics.
Answers come from the project's GitHub data, last synced on September 30, 2026, and from our analysis. They are not legal advice.
Editorial analysis
The crash-prone gap DifferenceKit was built to close
Batch updates in UITableView and UICollectionView are not a single operation. Each insert, delete, move and reload is applied together, and certain combinations of those diffs crash when applied simultaneously. The README states this directly: in performBatchUpdates there are combinations of diffs that cause a crash. A diff algorithm that returns one flat set of changes can therefore be correct and still unusable, because correctness at the algorithm level does not guarantee that UIKit will accept the result. DifferenceKit's answer is to split the set of diffs into the minimal number of stages that can each be performed without crashing. That is the specific problem it solves, and it is a problem of the UI framework rather than of diffing itself. The audience is Swift developers who maintain list screens where rows appear, disappear and reorder, and who want the animation to reflect the data change rather than a full reload. The framework targets UIKit, AppKit and Texture, and the README also lists Linux as a supported platform, which matters if you want to test diffing logic outside an Apple UI stack.
Paul Heckel's algorithm, adapted to produce staged changesets
The README describes the algorithm as optimized based on Paul Heckel's algorithm, citing the 1978 paper "A technique for isolating differences between files", and states that it allows all kinds of diffs to be calculated in linear time O(n). It also notes that RxDataSources and IGListKit are implemented based on the same algorithm, so the linear-time approach is not unique to this project. What is specific is the output shape. You create a StagedChangeset from two collections of elements conforming to Differentiable, and that changeset carries the diffs already divided into stages. The protocol has a generic associated type: differenceIdentifier identifies an element, and isContentEqual(to:) decides whether an element with the same identifier has changed content. The README's User example uses id for identity and name for content equality, which is the distinction that lets a rename animate as a reload rather than as a delete plus an insert. Default implementations exist for Equatable and Hashable types, so String can conform with an empty extension. For mixed element types, AnyDifferentiable wraps them. For sectioned collections, each section conforms to DifferentiableSection, and ArraySection is the general-purpose type that supplies a model for diffing sections against each other. The implementation lives in Sources/Algorithm.swift according to the README's link.
Installing DifferenceKit and applying your first changeset
The README does not print install commands, but it carries CocoaPods, Carthage and Swift Package Manager badges, and the repository contains DifferenceKit.podspec and Package.swift, so those are the three package managers the project ships for. The Makefile shows the release path the maintainer uses (bundle exec pod trunk push DifferenceKit.podspec) and a Linux test path (docker run -v `pwd`:`pwd` -w `pwd` --rm swift:latest swift test), which is useful if you want to run the test suite in a container. Adding the dependency through Swift Package Manager means pointing at the repository URL in your Package.swift dependencies. Once the module is available, the first real step is making your element type differentiable.
struct User: Differentiable {
let id: Int
let name: String
var differenceIdentifier: Int {
return id
}
func isContentEqual(to source: User) -> Bool {
return name == source.name
}
}With that in place, build a changeset from the old and new arrays. The README's example reorders two users and appends a third, and the result is a StagedChangeset rather than a flat list of edits.
let source = [
User(id: 0, name: "Vincent"),
User(id: 1, name: "Jules")
]
let target = [
User(id: 1, name: "Jules"),
User(id: 0, name: "Vincent"),
User(id: 2, name: "Butch")
]
let changeset = StagedChangeset(source: source, target: target)Applying it to a table view is one call. The README is explicit that the data source must be updated synchronously inside the setData closure, because the diffs are applied in stages and failing to do so is bound to create a crash.
tableView.reload(using: changeset, with: .fade) { data in
dataSource.data = data
}If a changeset is very large, the README suggests the interrupt closure as an escape hatch. Returning true from it falls back to reloadData instead of animating every diff.
collectionView.reload(using: changeset, interrupt: { $0.changeCount > 100 }) { data in
dataSource.data = data
}The threshold of 100 in that snippet is the README's example value, not a measured optimum. Treat it as a starting point and raise or lower it against your own list sizes.
Where DifferenceKit stops being the right tool
The framework diffs collections. It does not know about your cells, your layout or your prefetching. If your list has no stable identity for elements, differenceIdentifier has nothing reliable to key on, and the diff will be wrong in ways that surface as visual glitches rather than compiler errors. The README's own warning about synchronous data source updates is the sharpest limitation: the reload call and the setData closure form a contract that the library cannot enforce, and breaking it crashes at runtime. That is a real design constraint, not a documentation gap. A second limitation is that batch updates with too many diffs can hurt performance, which is why the interrupt closure exists; the fallback trades animation quality for a plain reload. Third, if your UI is SwiftUI, the framework's reload extensions target UITableView, UICollectionView and AppKit equivalents, and the README does not present a SwiftUI integration path. Fourth, the sectioned API requires a model type for sections, so a flat list with no section identity should use the linear API rather than ArraySection. Finally, the README's comparison section is truncated in the repository text, so any claim about how it performs against RxDataSources or IGListKit should be checked against the Benchmark directory rather than assumed.
DifferenceKit against IGListKit and RxDataSources
The README names RxDataSources and IGListKit as implementations also based on Paul Heckel's algorithm, so the shared ancestry is acknowledged rather than hidden. The difference is scope. IGListKit is a full list infrastructure: it brings its own adapter, section controllers and update model, and adopting it means restructuring how you feed your collection view. RxDataSources sits on top of RxSwift, so it assumes a reactive data flow and a stream of section models; if you do not already use RxSwift, adding it for diffing alone is a large dependency. DifferenceKit is narrower. It hands you a changeset and reload helpers, and leaves the data source, the cell configuration and the reactive layer to you. That makes it easier to drop into an existing UIKit codebase that already has a data source object, at the cost of doing more wiring yourself. The staged changeset is the concrete difference in mechanism: the README frames the staging as the response to crash-prone diff combinations in performBatchUpdates, which is a problem statement about UIKit rather than about the algorithm.
Maintenance, upgrades and the Apache-2.0 terms
The repository is not archived, and the last push was on 2026-06-23. The most recent release listed is 1.3.0 from 2022-06-24, preceded by 1.2.0 in 2021 and 1.1.5 in 2020. That pattern matters more than the push date: the codebase is being touched, but tagged releases are infrequent, so if you depend on a released artifact rather than a branch, expect to sit on a version for a while. The repository keeps a [email protected] alongside Package.swift, which indicates deliberate support for older Swift toolchains, and .swift-version pins the compiler the maintainers use. Upgrading is a source-compatibility question rather than a runtime one, since the library has no service component; the Makefile's test-linux target runs swift test inside a swift:latest container, which is the cheapest way to check a change against the test suite without an Apple toolchain. The licence is Apache-2.0, which permits commercial and closed-source use and includes an explicit patent grant; the LICENSE file is the authoritative text, and the DifferenceKit.podspec carries the licence declaration for CocoaPods consumers. This is not legal advice, and if you redistribute the framework in a product with its own compliance process, the notice requirements in Apache-2.0 are worth reading in full.
Editorial conclusion
Adopt DifferenceKit if you animate UITableView or UICollectionView batch updates and want a diffing library you can read end to end, with Apache-2.0 terms and no runtime dependency beyond Swift. Do not adopt it if your list is small enough that reloadData is fine, or if your UI layer already supplies a diffing API you are happy with. Before wiring it in, verify that your element type has a stable differenceIdentifier, that every setData closure updates the data source synchronously, and that your interrupt threshold is set for the largest realistic change count. The last push to the repository was on 2026-06-23, and the most recent release listed is 1.3.0 from 2022-06-24, so pin a version and check the release notes before upgrading.
Frequently asked questions
How does the DifferenceKit diff algorithm work?
It is an O(n) algorithm optimized based on Paul Heckel's algorithm, which the README cites via his 1978 paper on isolating differences between files. DifferenceKit then splits the resulting diffs into the minimal stages that can be applied in performBatchUpdates without crashing.
Which platforms does DifferenceKit support?
The README lists iOS, macOS, tvOS, watchOS and Linux, and describes batch update support for UIKit, AppKit and Texture. The repository also contains a test-linux.sh script and a test-linux Makefile target that runs the tests in a Swift container.
How do I install DifferenceKit in a Swift project?
The README shows CocoaPods, Carthage and Swift Package Manager badges, and the repository ships both a DifferenceKit.podspec and a Package.swift. The README itself does not print install commands, so use the package manager's own instructions with the repository URL or podspec.
Why does DifferenceKit crash if I do not update my data source in setData?
The README warns that diffs are applied in stages and that the data referenced by the data source must be updated synchronously with the data passed in the setData closure. Failing to do so is described as bound to create a crash.
Can DifferenceKit fall back to reloadData for large changesets?
Yes. The README shows an interrupt closure that returns true when changeCount exceeds a threshold, in its example greater than 100, which falls back to reloadData instead of animating the batch update. The 100 value is the README's example, not a measured optimum.
Official sources
Add this badge to your README
If you maintain this project, the badge below links readers to this analysis and shows its maintenance status from the daily GitHub snapshot. Paste the markdown into your README; add ?metric=license or ?metric=stars to the image URL for a different field.
[](https://hysenlabs.com/projects/ra1028-differencekit)