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Awesome GitHub RepositoriesSelective Decoding
Techniques for parsing only a subset of fields from a serialized data stream to reduce memory and CPU usage.
Distinct from Data Decoders: Focuses on parsing efficiency by ignoring undefined fields, unlike generic data decoders or benchmarks.
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Awesome Selective Decoding GitHub Repositories
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- msgspec/msgspec
msgspec/msgspec
3,821Auf GitHub ansehenmsgspec is a high-performance data modeling, serialization, and schema validation toolkit for Python. It serves as a type-safe serialization framework that integrates schema enforcement and data parsing into a single pass, functioning as both a data serialization library and a schema validation system based on standard Python type annotations. The project distinguishes itself through high-performance structural primitives, including compilation-based routine generation and zero-copy buffer parsing. It optimizes memory usage via garbage collection-aware layouts and reduces processing overhead
Improves decoding speed and reduces memory allocations by ignoring input fields not defined in the schema.
Pythondeserializationjsonjson-schema
