{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/16"}],"enrichment":{"capability":"Daiquiri simplifies Python logging configuration by providing a single setup call and custom formatters and handlers for structured logging output.","skillfed_tags":["logging","structured-logging","configuration"],"use_cases":["Set up JSON-structured logging in a new application with a single function call instead of manual handler and formatter configuration.","Configure logging for microservices or containerized applications where structured logs are parsed by log aggregation systems.","Add consistent logging to system administration scripts and tools running on Linux servers.","Replace ad-hoc print statements in CLI tools with proper logging that can be easily toggled between console and file output."],"what_it_does":"Daiquiri is a Python logging configuration helper that reduces boilerplate when setting up logging in applications. Instead of manually configuring loggers, handlers, and formatters, you call daiquiri's setup function to get a working logging pipeline. It wraps python-json-logger to enable structured JSON logging and provides additional custom formatters and handlers for common use cases.\n\nThe package targets system administrators and IT professionals who need reliable, easy-to-configure logging for production applications. It's designed for POSIX/Linux environments and supports Python 3.10 and later. With low install friction and no security vulnerabilities, it's a straightforward addition to projects that want structured logging without extensive configuration code.","worth_installing":"Yes. Daiquiri is actively maintained, has no known vulnerabilities, carries a permissive Apache 2.0 license, and installs with minimal friction. It's a good fit if you want to reduce logging boilerplate in Python applications targeting Python 3.10 or later. Install it if you prefer declarative logging setup over manual configuration; skip it if your project already has a mature logging strategy."},"id":"daiquiri","links":{"html":"https://skillfed.io/packages/daiquiri","md":"https://skillfed.io/packages/daiquiri.md","pypi":"https://pypi.org/project/daiquiri/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-09-04","license_spdx":null,"license_treatment":"permissive","name":"daiquiri","python_support":"supports_current","summary":"Library to configure Python logging easily"},"popularity":{"monthly_downloads":124202,"position":11878,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.4.0"}