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Representing application events as mutable dictionaries to facilitate machine-readable processing and metadata enrichment.
Distinct from Dictionary-Based Feature Representations: Candidates refer to data compression or ML feature sets, not the structural representation of logging events.
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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
Treats log entries as mutable dictionaries instead of strings to enable precise, machine-readable processing throughout the pipeline.