A Swift JSON library offering both easy optional-chaining access and strict error-handling with detailed failure paths.
JAYSON is a Swift library for decoding and encoding JSON that provides two distinct access patterns: easy optional-chaining for quick reads and strict, error-throwing access for robust parsing. It solves the problem of opaque JSON failures by delivering detailed error reports that pinpoint exactly where decoding went wrong, helping developers handle edge cases safely.
Swift developers working on iOS, macOS, watchOS, tvOS, or Linux apps who need reliable JSON parsing with clear error diagnostics, especially those building data-heavy clients or APIs.
Developers choose JAYSON for its unique combination of convenience and safety—offering optional-chaining for simple cases and strict error reporting for critical paths—all within a native Swift API that supports dynamic member lookup and detailed debugging information.
🧱 A JSON decoding/encoding library that handles optimistically or strictly.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Provides both easy optional-chaining for quick reads (e.g., `json[3]?.shot?.images?.string`) and strict error-throwing access for robust parsing, offering flexibility based on use case.
Throws JSONError with precise failure location and debugging paths, such as missing keys or type mismatches, making it easy to diagnose parsing issues without silent failures.
Supports Swift dot-syntax for key paths in strict mode (e.g., `next(\.id)`), enhancing code readability and reducing string-based key errors.
Includes strict getters like `getString()` and optional read-only properties, ensuring type-safe JSON handling and preventing unexpected data types.
Requires explicit chaining for each JSON key, which can be cumbersome and verbose compared to Swift's Codable for automatic decoding of complex nested structures.
Does not integrate with Swift's built-in Codable protocol, potentially necessitating extra boilerplate code for compatibility with existing Codable models or ecosystems.
The detailed error handling and dynamic features might introduce performance costs, though unbenchmarked in the README, which could be a concern for high-throughput or latency-sensitive applications.