Projects with this topic
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High-performance data structures and algorithms library for Zig. Includes graphs, trees, caching, string search, and serialization (DOT/GQL).
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igraph graph algorithm library bindings for Kit
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Circulis Aqua is an AGPL 3.0+ modular infrastructure design system for desalination, water purification, reuse, and geospatial distribution. It uses AI-assisted configuration to design scalable, plug-in water systems that range from residential units to municipal and regional grids. Built on a graph-based water flow model, it enables local-first optimization, closed-loop water reuse, and intelligent routing to ensure no water is wasted across interconnected infrastructure networks.
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Arq is a machine intelligence system for understanding, modeling, and evolving software architecture as a living, dynamic graph. It analyzes codebases as structured systems of modules, dependencies, and behaviors, then simulates how they change over time under real-world constraints. The goal is to make software architecture measurable, explainable, and continuously evolvable.
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Axis Juris is a modular, open-source legal intelligence system designed to analyze and structure patent law, case law, and jurisdiction-specific regulations. It combines a continuously updating legal knowledge graph with AI-driven reasoning to provide sourced, cross-referenced analysis of statutes and precedents. Built for scalability across U.S. federal and state systems (and extendable internationally), Axis Juris focuses on legal alignment, conflict detection, and structured understanding of evolving law.
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ProductionMind is an open-source, graph-native manufacturing intelligence platform that connects every machine, process, and decision across the industrial ecosystem. Built with a modular architecture, it enables predictive maintenance, digital twins, supply chain intelligence, quality optimization, and AI-driven manufacturing workflows through a unified knowledge graph. ProductionMind provides an open foundation for building adaptive, intelligent, and transparent manufacturing systems.
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Adaptive Render Graph (ARG) is a modular, graph-native visual intelligence framework that transforms design systems, images, and UI assets into interconnected nodes that can be indexed, optimized, and dynamically rendered across email, web, and interactive environments. It enables semantic search, AI-driven transformation, and cross-platform reuse of visual assets by treating every component as part of a living, adaptive graph structure rather than static files.
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A rust crate to read graph-tools' graph in gt binary file format
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ThreadGraph is an open-source, AGPL-3.0+ modular agent swarm runtime that transforms complex tasks into executable, graph-structured workflows. It orchestrates multiple specialized agents, tools, and memory systems through a dynamic execution graph, enabling parallel reasoning, structured decomposition, and fully observable workflows. Designed for extensibility and composability, ThreadGraph turns agent-based systems into scalable, reproducible infrastructure rather than linear prompt chains.
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NeighborhoodGraph is an open-source civic intelligence platform that transforms housing, land, infrastructure, and community data into an interactive knowledge graph. It enables users to explore properties, ownership networks, neighborhood trends, and public infrastructure through AI-powered analysis and digital twin visualization. By connecting fragmented public records and geospatial data into a unified system, NeighborhoodGraph helps communities, researchers, and governments better understand how places change over time and how those changes impact people’s lives.
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FarmWeb Intelligence is an open-source agricultural intelligence platform that maps farms, ownership structures, public funding, and related public records into a unified relational graph. It connects corporate entities, production data, subsidies, and legislative sources to provide transparent visibility into how agricultural systems are structured and how public resources flow through them.
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KnowledgeContinuum is a temporal entity resolution system that models knowledge as a versioned identity graph across time, preserving full lineage, enabling explainable merges, and reconstructing how information evolves rather than overwriting it.
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Evaluates the reports from ProtonDB to give stats about the overall progress.
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Ratio graph handling in Python.
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