3 مستودعات
Mapping platform-specific network error codes to a unified set of constants for cross-platform consistency.
Distinct from Environment Error Normalization: Shortlist candidates focus on high-level error handling or specific DB codes rather than OS-level socket error mapping
Explore 3 awesome GitHub repositories matching operating systems & systems programming · Network Error Normalization. Refine with filters or upvote what's useful.
Axios is a promise-based HTTP client used to make asynchronous network requests in both browser and Node.js environments. It functions as a multi-environment network adapter that abstracts the transport layer to ensure consistent behavior across different runtimes. The project distinguishes itself through a request lifecycle management system that allows for the cancellation of active requests, the setting of timeouts, and the monitoring of upload and download transfer progress. It includes a mechanism for intercepting network traffic, enabling the transformation of outgoing requests and inco
Normalizes various network failures and HTTP status codes into a structured error object for consistent handling.
Hiredis is a minimalistic C client library designed to send commands and receive responses from Redis servers using a binary-safe protocol. It functions as a core toolkit providing a Redis protocol parser, a secure connector, and both synchronous and asynchronous driver interfaces. The library distinguishes itself through a decoupled protocol parser that converts raw byte streams into structured data objects independently of the network transport layer. It supports high-performance pipelining to batch multiple commands into a single network round-trip and provides a secure networking layer fo
Maps platform-specific network error codes to standard constants for consistent cross-platform error handling.
This library provides a comprehensive framework for managing errors in JavaScript and TypeScript applications. It enables the creation of structured, type-safe error hierarchies, allowing developers to define custom error classes that ensure consistent behavior and categorization across a codebase. The project distinguishes itself through a modular plugin architecture that allows for the extension of core error functionality, such as custom logging, serialization, and validation. It includes an exception normalization pipeline that converts non-standard or malformed errors into predictable in
Normalizes unknown exceptions and malformed error objects into defined, predictable error instances to prevent runtime bugs.