31 مستودعات
Libraries for converting objects to and from various data formats with schema validation.
Distinguishing note: Focuses on the framework-level orchestration of serialization tasks.
Explore 31 awesome GitHub repositories matching data & databases · Serialization Frameworks. Refine with filters or upvote what's useful.
This library is a header-only C++ framework designed for the serialization, parsing, and manipulation of structured data. It provides a recursive variant data model that represents arbitrary structures as native types, allowing developers to navigate, modify, and patch hierarchical data using standard pointer paths and declarative update patterns. The project distinguishes itself through its template-based architecture, which enables type-safe data structures and custom type mapping at compile time. It offers a unified interface for binary format abstraction, supporting multiple compact repre
Provides a robust framework for serializing complex objects into multiple formats with strict schema validation.
Arrow is a cross-language development platform for in-memory data. It provides a standardized, language-independent columnar memory format designed to accelerate analytical operations and improve memory efficiency on modern computing hardware. By utilizing a schema-driven approach, the framework enables the efficient organization of both flat and nested data structures. The project functions as an analytical data processing engine that facilitates high-performance computation directly on memory-resident datasets. It distinguishes itself through a zero-copy architecture, which allows multiple
Implements a high-performance framework for serializing and deserializing structured data with schema-driven efficiency.
CapnProto is a zero-copy serialization framework and remote procedure call system. It serves as a C++ communication library providing a schema-based data interchange format that eliminates the need to encode or decode data before reading it from memory. The system enables high-performance data serialization and low-latency network communication. It supports cross-language data exchange by using a defined schema to ensure consistent binary representation across different platforms. The framework provides tools for implementing remote procedure calls, allowing functions to be invoked on a remo
Implements a complete binary serialization system that avoids the overhead of traditional encoding and decoding.
Phalcon is a full-stack PHP web framework implemented as a compiled C extension that loads directly into the PHP interpreter. Rather than executing PHP scripts at runtime, the framework runs as a native C module, bundling routing, ORM, templating, and caching into immutable structures compiled at build time. This architecture hooks directly into PHP's internal Zend Engine API to bypass userland function call overhead, processes HTTP requests through a C-level event pipeline, and passes data between layers using pointer references instead of duplicating memory buffers. The framework manages ob
Passes HTTP request data between layers using pointer references instead of duplicating memory buffers.
This project is a framework for the efficient serialization and deserialization of data structures. It provides a unified, macro-based interface that automates the conversion of complex internal objects into standardized formats and reconstructs them from raw input streams or buffers. By leveraging compile-time code generation, the library minimizes manual implementation overhead while ensuring consistent logic across diverse data types. The framework distinguishes itself through a format-agnostic data model and a visitor-based parsing architecture that decouples data structures from specific
Provides a unified, macro-based interface for efficiently serializing and deserializing Rust data structures into various formats.
jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti
Implements zero-copy data transport to move camera frames directly into GPU memory without duplication.
The Intel RealSense SDK is a software development kit providing drivers and libraries for interfacing with depth cameras to capture color, depth, and infrared data streams. It includes a depth camera driver for device discovery and sensor configuration, a stereo vision library for computing depth maps and aligning frames, and a 3D point cloud generator to transform depth and infrared frames into spatial representations. The SDK distinguishes itself through on-chip depth calculation and stereo calibration, using internal vision processors to reduce host CPU load. It supports hardware-level str
Transforms image data into arrays using a shared buffer protocol to avoid expensive memory copying.
Kreuzberg is a document extraction engine that converts PDFs, Office files, images, and over 90 other formats into clean, structured text and metadata. It is built around a compiled Rust core that can be used as a native library, a command-line tool, a REST API server, or a WebAssembly module for browser-based processing. The system is designed to run entirely on self-hosted infrastructure, with no data leaving the user's environment. What distinguishes Kreuzberg is its breadth of integration surfaces and its pipeline architecture. It exposes extraction capabilities through native bindings fo
References images through zero-based indices into a central collection to avoid duplication.
Bigcache is a thread-safe, in-memory key-value store for Go designed to minimize garbage collection pauses. It functions as a memory-optimized cache capable of storing gigabytes of data while maintaining low latency during high-volume operations. The system avoids garbage collection overhead by managing memory through large byte arrays and manual allocation. It utilizes a circular-buffer layout to reuse space and lock-striped sharding to reduce contention during concurrent read and write access. The project provides capabilities for high-volume in-memory caching and low-latency data retrieva
Returns views into the underlying byte array instead of allocating new memory for retrieved values.
orjson is a high-performance Python library for serializing and deserializing JSON data. It functions as both a JSON parsing library and a serialization engine, converting data between native Python objects and UTF-8 encoded bytes. The project provides specialized support for converting complex Python data structures, including dataclasses, datetime objects, and NumPy arrays and scalars, into JSON format. It also allows for the insertion of pre-serialized JSON blobs into documents to maintain processing speed. The library includes capabilities for memory-efficient deserialization through key
Provides a high-performance serialization engine implemented in Rust.
Kitex is a high-performance remote procedure call framework for building distributed microservices in Go. It provides a communication system compatible with gRPC and Protobuf standards and includes a suite of tools for microservices governance. The framework features proxyless service mesh integration, which allows it to manage network traffic and governance directly without adding sidecar proxy latency. It optimizes data throughput through a high-performance communication library that minimizes memory copies. The system covers a broad surface of distributed capabilities, including service d
Reduces CPU cycles and memory allocation by using direct memory access and buffer pooling during data serialization.
better-sqlite3 is a high-performance SQLite3 client for Node.js that executes queries synchronously, returning results directly without callbacks or promises. It compiles as a native addon using N-API, binding directly to the SQLite3 C library for immediate query execution and zero-copy result serialization into native JavaScript objects. The library is optimized for Write-Ahead Logging (WAL) mode, enabling faster concurrent reads and writes in web applications. It provides durability level tuning through the synchronous pragma, allowing adjustments between FULL, NORMAL, and OFF modes to bala
Returns query results as native JavaScript objects without intermediate copying using direct memory access.
CXX is a code generator that produces a safe, zero-overhead FFI bridge between Rust and C++. It lets functions and data types from either language be used directly in the other, with static type safety enforced at compile time and no copying, serialization, or runtime checks across the boundary. The bridge supports the full range of cross-language interactions: Rust can call C++ functions and use C++ types, and C++ can call Rust functions and use Rust types. Standard library types like strings, vectors, and smart pointers are mapped automatically between the two languages, while opaque types
Passes standard library types like strings and vectors across FFI without serialization or copying.
Warp is a Python framework that JIT-compiles Python functions into CUDA kernels for GPU-accelerated parallel computation, with built-in automatic differentiation and multi-framework array interoperability. At its core, it provides a GPU kernel compilation system that enables writing and executing custom GPU kernels directly from Python, while supporting automatic gradient computation through those kernels for integration with machine learning pipelines. The framework also includes tile-based cooperative computing, where thread blocks partition into tiles for shared-memory and tensor-core opera
Exchanges GPU arrays between frameworks via DLPack without copying memory for seamless interop.
This is a Rust serialization library for converting data structures to and from JSON strings and byte streams. It is built as a framework within the Serde ecosystem, providing both a strongly typed parser for compile-time safety and a recursive value tree for manipulating JSON data without a predefined schema. The project supports both typed and untyped processing. It can map JSON data into specific Rust types for schema conformity or parse input into a flexible, schemaless representation. It also includes macro-based utilities for the dynamic construction of JSON objects.
Provides a high-performance JSON serialization framework specifically designed for the Rust ecosystem.
Fluvio هو منصة تدفق أحداث موزعة ومحرك تدفق سحابي أصلي مصمم لجمع وتخزين ونسخ تدفقات البيانات في الوقت الفعلي عبر مجموعة موزعة. يعمل كخط أنابيب بيانات في الوقت الفعلي لبناء سير عمل ذي حالة يقوم باستيعاب وإثراء وتصدير البيانات بين المصادر والمصارف الخارجية. تتميز المنصة باستخدام WebAssembly لتنفيذ وحدات مجمعة لتحويلات البيانات والفلترة المضمنة. يسمح هذا بتنفيذ منطق أعمال مخصص لإعادة تشكيل المعلومات أثناء الحركة دون الحاجة إلى إعادة تشغيل المجموعة. يغطي النظام مجموعة واسعة من القدرات بما في ذلك استيعاب البيانات القائم على الموصلات من بروتوكولات خارجية، وتخزين غير قابل للتغيير قائم على السجلات مع إدخال/إخراج بدون نسخ، وتوسيع المجموعة الأفقي. يدعم إنشاء خطوط أنابيب معقدة قائمة على الأحداث تستخدم المعالجة ذات الحالة، والتجميعات القائمة على النوافذ، وتوزيع البيانات القائم على التقسيم. يمكن نشر المحرك كثنائي خفيف الوزن على معماريات نظام متنوعة، بما في ذلك أجهزة ARM64 IoT لمعالجة بيانات الحافة.
Implements zero-copy disk IO to persist immutable event records while minimizing memory copying overhead.
This is a cross-platform media processing library that reads, writes, encodes, and decodes media in both browser and server environments. It supports common container formats including ISOBMFF, Matroska, Ogg, MPEG-TS, and HLS, and handles codec operations through a combination of WebCodecs API and WebAssembly-based encoders. Media is processed in streaming pipelines that maintain constant memory usage and automatically apply backpressure from output speed to all upstream components. The library distinguishes itself through a plugin-based codec registration system that allows extending support
FFmpeg.wasm creates samples directly backed by FFmpeg AVFrame memory, eliminating data transfer between JavaScript and native code.
Daft is a distributed dataframe library and multimodal data processor designed to handle large-scale structured and unstructured data. It functions as a vectorized execution engine that processes tables alongside images, audio, and video, utilizing a unified schema to manage diverse data types. The project distinguishes itself by combining distributed data engineering with large-scale AI inference. It provides an AI data pipeline for batch-optimizing model prompts and generating high-dimensional text embeddings, while utilizing zero-copy memory sharing to execute custom Python functions witho
Employs zero-copy memory sharing to pass data between the core engine and Python functions without overhead.
TileLang is a Python-embedded domain-specific language compiler that JIT-compiles and autotunes GPU kernels. It uses a tile-based DSL, automatic software pipelining, and parallel autotuning to generate optimized GPU kernels at runtime. It supports tensor core operations with Pythonic syntax, automatic memory management, and thread mapping. The compiler searches over tile sizes, thread counts, and scheduling policies, compiling and benchmarking candidates in parallel to find the fastest kernel. It also caches compiled binaries and tuning results to disk for reuse across sessions. TileLang inc
Wraps tensors from DLPack-compatible frameworks for direct kernel execution.
flutterrustbridge is a code generation tool that automatically creates type‑safe Dart bindings for Rust functions, enabling direct cross‑language calls between Flutter and a Rust backend. It provides an async FFI adapter that transforms synchronous Rust functions into Dart async methods with background thread management, a cross‑language object manager that wraps persistent Rust structs as Dart objects preserving state across calls, and trait object interop that converts Rust traits into Dart abstract classes for seamless bidirectional use. The project handles the full lifecycle of integrat
Transfers binary data between Dart and Rust with zero copy to avoid duplication and improve throughput.