1 repo
Tools and libraries for high-performance numerical analysis and array-based data processing.
Distinguishing note: Focuses on performance-oriented numerical array access rather than general-purpose serialization.
Explore 1 awesome GitHub repository matching scientific & mathematical computing · Numerical Computing Utilities. Refine with filters or upvote what's useful.
FlatBuffers 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 maps scalar vectors directly to high-performance numerical arrays in Python to accelerate data processing when handling large nested structures.