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The Swift language implementation of gRPC.
The main features of grpc/grpc-swift are: Core Libraries.
Open-source alternatives to grpc/grpc-swift include: google/gson — Gson is a Java library designed for the serialization and deserialization of objects into structured text formats. It… google/guava — Guava is a Java standard library extension and utility toolkit that provides optimized data structures, concurrency… grpc/grpc — gRPC is a language-agnostic remote procedure call framework designed for high-performance communication between… grpc/grpc-dart. grpc/grpc-dotnet — This project is a .NET implementation of the gRPC framework, providing a system for executing functions on remote… grpc/grpc-go — grpc-go is a Go language implementation of the gRPC framework, providing a remote procedure call library for…
Guava is a Java standard library extension and utility toolkit that provides optimized data structures, concurrency tools, and core extensions. It serves as a comprehensive set of helpers for Java development, focusing on reducing repetitive boilerplate logic. The project is distinguished by its specialized implementations of immutable collections, which ensure thread safety and data consistency by preventing accidental modification. It also includes a dedicated graph data structure library for modeling and traversing networks of interconnected nodes and edges, alongside advanced collection t
gRPC is a language-agnostic remote procedure call framework designed for high-performance communication between distributed services. It utilizes a structured interface definition language to generate consistent client stubs and server skeletons, enabling applications to invoke methods on remote servers as if they were local objects. By leveraging the HTTP/2 transport layer, the framework supports efficient binary serialization and multiplexed data exchange across diverse programming environments. The framework distinguishes itself through its support for flexible communication patterns, incl
Gson is a Java library designed for the serialization and deserialization of objects into structured text formats. It functions as a reflection-based data mapper, inspecting class structures at runtime to automatically convert memory-resident objects into data representations and reconstruct them back into typed language objects. The library distinguishes itself through a modular type-adapter pattern that allows for custom conversion rules for complex or nested structures. It also provides robust support for production environments by generating build-time metadata and configuration rules, wh