TypeScript RPC framework for WebSocket and Worker protocols, enabling grid computing and remote function calls.
TGrid is a TypeScript RPC framework that enables remote procedure calls over WebSocket and Worker protocols. It allows developers to call functions and interact with objects across different processes or network nodes as if they were local, simplifying the development of complex distributed systems like grid computing.
TypeScript developers building real-time applications, distributed systems, or grid computing solutions that require communication between clients, servers, and workers.
Developers choose TGrid for its strong TypeScript integration, support for multiple protocols (WebSocket, Worker), and ability to model network interactions in an object-oriented way, reducing boilerplate and improving type safety.
TypeScript RPC (Remote Procedure Call) for WebSocket and Worker protocols
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Uses TypeScript interfaces to enforce type contracts for remote calls, as shown in the calculator example, reducing runtime errors and improving developer confidence.
Supports WebSocket for real-time communication and Worker protocols for parallel processing, enabling flexible deployment across client-server and browser-based environments.
Treats remote systems as local objects, simplifying complex distributed logic like grid computing, a core feature highlighted in the documentation and examples.
Seamlessly integrates with NestJS via Nestia for structured WebSocket applications, as indicated in the setup guides and playground links.
Only supports WebSocket and Worker protocols, lacking built-in options for other RPC transports like HTTP/2 or gRPC, which may require additional work for diverse use cases.
Integration with NestJS requires understanding of both TGrid and Nestia, as admitted in the setup instructions, adding learning overhead for teams not already invested in these ecosystems.
Has a smaller ecosystem compared to mainstream RPC libraries, limiting access to third-party plugins, extensive tutorials, and community-driven resources.