3 个仓库
Mechanisms for reclaiming system memory through manual or periodic garbage collection of unused objects.
Distinct from Manual Memory Management: The candidates focus on pointer-level C-style deallocation or cognitive memory; this is about database engine object reclamation.
Explore 3 awesome GitHub repositories matching data & databases · Memory Deallocation Management. Refine with filters or upvote what's useful.
This project is a comprehensive collection of C++ libraries and toolkits providing reference implementations for data structures, graph algorithms, and bitwise logic. It serves as a C++ algorithm reference containing over 180 solved coding problems and a specialized toolkit for competitive programming. The repository distinguishes itself through extensive low-level bit manipulation libraries for parity checks, endianness detection, and XOR-based logic. It also provides a wide array of reference solutions for complex algorithmic challenges involving backtracking, graph theory, and dynamic prog
Provides routines to deallocate every node in a linked list sequence to prevent memory leaks.
Chafa is a terminal graphics library that converts images and animated GIFs into character art for display in terminal emulators. It supports multiple output formats including ANSI escape sequences, Sixel graphics, and Unicode block characters, making it a versatile tool for rendering images directly within the terminal environment. The library is built as a shared C library with official bindings for Python and JavaScript, allowing developers to integrate terminal image rendering capabilities into applications across different programming environments. Chafa handles the full pipeline from im
Releases memory allocated for an array of string objects, safely handling null pointers.
Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr
Triggers garbage collection of unused objects manually or via periodic cycles to reclaim system memory.