{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/4"}],"enrichment":{"capability":"Provides Rich-styled colored console logging with structured metadata, multi-backend fan-out (journald, Windows Event Log, Graylog), and ring-buffer log dumps in JSON, HTML, or text format.","skillfed_tags":["structured-logging","multi-backend","rich-terminal"],"use_cases":["Centralize logs from a multi-threaded or async application to journald or Graylog while displaying colored output on the console.","Export recent log history as JSON or HTML for debugging without restarting the application.","Bridge existing stdlib logging calls in third-party libraries into a structured, multi-backend logging pipeline.","Set independent log levels for console, journald, and Graylog so verbose debugging stays local while only errors reach remote sinks.","Capture and inspect per-event metadata and context bindings for structured observability without manual instrumentation."],"what_it_does":"lib_log_rich is a logging runtime that wraps and extends Python's standard logging with Rich terminal styling, structured metadata binding, and multi-sink fan-out. It captures colored console output tuned to terminal capabilities, while simultaneously routing events to journald (Linux), Windows Event Log, or Graylog backends\u2014each with independent log-level gates. The package maintains a ring buffer of recent log events that can be dumped on demand in JSON, HTML, or plain text, and provides queue-backed adapters for thread-safe and async-safe console output suitable for GUIs or streaming contexts.\n\nYou initialize it once with a RuntimeConfig (service name, environment, payload limits), then either use its LoggerProxy API directly or attach a stdlib handler to bridge existing logging calls from third-party libraries and legacy code. Context metadata (user, hostname, process ID) is captured automatically. The package validates all configuration through Pydantic, offers optional .env loading, and exposes diagnostic hooks for observability without coupling to a monitoring stack.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and offers a clean abstraction over multi-backend logging with Rich styling. Install it if you need structured logging with journald/Windows Event Log/Graylog fan-out and colored console output; skip it if you only need basic Python logging or have no use for remote log sinks."},"id":"lib-log-rich","links":{"html":"https://skillfed.io/packages/lib-log-rich","md":"https://skillfed.io/packages/lib-log-rich.md","pypi":"https://pypi.org/project/lib-log-rich/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-31","license_spdx":null,"license_treatment":"permissive","name":"lib-log-rich","python_support":"supports_current","summary":"Rich-powered logging runtime with contextual metadata, multi-sink fan-out, and ring-buffer dumps"},"popularity":{"monthly_downloads":127450,"position":11742,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"6.3.7"}