KazaiMazai/SwiftletModel

SwiftletModel is a Swift library that provides an in-memory object-relational mapping (ORM) framework for managing entity data. It enables developers to define data models using macros, which automatically generate code for persistence, indexing, and relationship management. The system supports complex queries, soft deletes, merge strategies, and various indexing types, all managed through a context-based API.

The project was renamed to SwiftletModel and expanded with Swift macros for automatic model generation, alongside new features like soft deletes, merge strategies, and in-memory context management. This period also involved comprehensive test coverage for queries, relations, and entity lifecycle operations.

12 changes

This period focused on expanding the SwiftletModel framework with advanced indexing capabilities, including unique, hashable, and full-text search constraints. A new query API was introduced to support complex filtering, sorting, and relation handling, while the underlying macro architecture was refactored for better modularity.

8 changes

KazaiMazai/SwiftletModel was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point the surveyor at a repository you know and see whether you agree with it.