2 مستودعات
Awesome GitHub RepositoriesSerialization Optimization Utilities
Libraries and techniques for minimizing memory footprint and improving performance in data serialization.
Distinguishing note: Focuses on the optimization of buffer layouts and bit-width management, distinct from general data storage.
Explore 2 awesome GitHub repositories matching data & databases · Serialization Optimization Utilities. Refine with filters or upvote what's useful.
Awesome Serialization Optimization Utilities GitHub Repositories
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- google/flatbuffers
google/flatbuffers
25,558عرض على GitHubFlatBuffers is a cross-platform serialization library designed for performance-critical applications that require efficient, zero-copy data access. By organizing data in a structured binary format, it allows applications to read and write complex data structures directly from memory-mapped buffers without the need for intermediate parsing or temporary object allocation. The project distinguishes itself through a schema-driven approach that balances high-performance access with long-term data evolution. It utilizes a unique memory layout featuring relative offsets and inline fixed-size structu
FlatBuffers allows developers to reduce memory footprint and improve access performance by choosing efficient container types, minimizing bit widths, and using blobs for large arrays.
C++cc-plus-plusc-sharp - json-iterator/go
json-iterator/go
13,891عرض على GitHubThis project is a high-performance JSON library for Go, serving as a replacement for the standard encoding/json package. It provides a serialization engine for encoding and decoding data structures, alongside a schemaless parser for extracting specific values from JSON blobs using paths. The library distinguishes itself through a focus on reducing CPU and memory overhead. It implements a high-performance encoder that utilizes buffer reuse and reduced float precision to increase data throughput. Broad capability areas include data serialization, high-performance JSON processing, and schema-le
Increases data throughput by reducing float precision and reusing internal memory buffers.
Godeserializationgogolang
