SSDataKit VS Records

Compare SSDataKit vs Records and see what are their differences.

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SSDataKit Records
- -
460 58
- -
0.0 8.0
- almost 5 years ago
Objective-C Swift
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

SSDataKit

Posts with mentions or reviews of SSDataKit. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning SSDataKit yet.
Tracking mentions began in Dec 2020.

Records

Posts with mentions or reviews of Records. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Records yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing SSDataKit and Records you can also consider the following projects:

PrediKit - An NSPredicate DSL for iOS, OSX, tvOS, & watchOS. Inspired by SnapKit and lovingly written in Swift.

ObjectiveRecord

AERecord - Super awesome Swift minion for Core Data (iOS, macOS, tvOS)

MagicalRecord - Super Awesome Easy Fetching for Core Data!

DATAStack - 100% Swift Simple Boilerplate Free Core Data Stack. NSPersistentContainer

encrypted-core-data - v2.0 - iOS Core Data encrypted SQLite store using SQLCipher

HardCoreData - CoreData stack and controller that will never block UI thread

ios-queryable - ios-queryable is an implementation of IQueryable/IEnumerable for Core Data

Cadmium - A Swift framework that wraps CoreData, hides context complexity, and helps facilitate best practices.

Graph - Graph is a semantic database that is used to create data-driven applications.