klibbig

klibbig is a cross-language software library designed to facilitate efficient handling of large binary data and streaming workloads in performance-critical environments. It provides a set of data structures, I/O abstractions, and tooling intended to minimize memory usage while sustaining high-throughput processing, making it suitable for data pipelines, analytics, and asset management tasks.

Key features of klibbig include zero-copy deserialization, memory-mapped I/O, and chunked streaming that enable scalable processing of large datasets. The library offers pluggable codecs and compression options, along with bindings for multiple programming languages to support integration in diverse environments. Its core design emphasizes a low-overhead API, predictable performance, and thread-safe operation where required by concurrent workloads.

Architecturally, klibbig adopts a modular structure with a core runtime, buffer and stream facilities, codec abstractions, and adapters that connect to external storage or data formats. The components are designed to be portable across major platforms such as Windows, macOS, and Linux, and to support both in-process and out-of-process data workflows. The project prioritizes a clean, minimal API surface to ease adoption while providing extensibility for custom data schemas and processing pipelines.

Common use cases for klibbig include large-scale ETL and data processing, real-time analytics, scientific computing workflows that require efficient binary data handling, and game or media asset management where memory footprint and throughput are critical. The library is typically adopted in environments that demand predictable latency, scalable throughput, and language-agnostic interoperability.

Historically, klibbig emerged from an open-source community focused on efficient data processing and has evolved through periodic releases and community contributions. It is distributed under an open-source license and maintains ongoing development and documentation to support users and contributors.