This project provides a lightweight logging facade for Rust applications, serving as a standardized interface for recording diagnostic messages. By decoupling application code from specific logging backends, it allows developers to maintain a consistent diagnostic surface while remaining independent of the underlying implementation.
Les fonctionnalités principales de rust-lang/log sont : Logging Abstractions, Logging Decoupling, Severity-Level Log Writers, Backend Registrations, Persistence Flushing, Embedded Diagnostics, Global Diagnostic Dispatchers, Freestanding Environment Support.
Les alternatives open-source à rust-lang/log incluent : tokio-rs/tracing — This project is a structured tracing framework for Rust that serves as an async-aware instrumentation library and… sirupsen/logrus — Logrus is a structured logging library for Go that produces machine-readable output using key-value pairs and JSON… delgan/loguru — Loguru is a Python logging library and thread-safe framework designed for recording system events and diagnostic… hynek/structlog — structlog is a structured logging library for Python that treats log entries as dictionaries instead of strings. This… metrics-rs/metrics — This project is a unified observability framework for Rust applications, designed to capture, aggregate, and report… dotnet/core — This project is a cross-platform development framework and managed runtime environment designed for building…
This project is a structured tracing framework for Rust that serves as an async-aware instrumentation library and telemetry data collector. It provides a structured logging facade and the tools necessary to record, filter, and route event-based diagnostic data from both standard applications and embedded systems. The framework distinguishes itself through a core implementation that supports bare-metal and no-standard-library environments without requiring a dynamic memory allocator. It specifically handles the complexities of asynchronous workflows by propagating diagnostic contexts across fu
Logrus is a structured logging library for Go that produces machine-readable output using key-value pairs and JSON formatting. It serves as a pluggable logging framework providing a thread-safe event logger with configurable mutex locking to manage concurrent writes across multiple goroutines. The project distinguishes itself through a pluggable hook system that routes log entries to external services or custom destinations. It also features a contextual logger capable of attaching persistent metadata and request-scoped fields to entries to improve traceability. The framework covers broad ob
Loguru is a Python logging library and thread-safe framework designed for recording system events and diagnostic messages. It functions as a structured logging tool that can serialize messages into JSON strings with metadata for automated parsing and analysis. The library includes a specialized exception tracker that captures unhandled crashes across main and background threads, rendering detailed stack traces that include local variable values. It further distinguishes itself through a unified routing pipeline that can intercept messages from the standard library logging module and dispatch
structlog is a structured logging library for Python that treats log entries as dictionaries instead of strings. This data-centric approach enables machine-readable output and precise data analysis by generating log entries as key-value pairs. It functions as both a standalone logging framework and a compatibility layer that adds structured capabilities to the Python standard library logging module. The library features a processor-pipeline architecture that passes log dictionaries through a sequence of functions to modify events or add metadata before final rendering. It includes a contextua