DSViz is a simple and intuitive Python interface to multiple packages in order to help visualise different data structres while coding them. This package is developed mainly for students or developers who are in the process of learning data structures.
Graph Attributes and Structure Matching (GASM): graph matching on CPU and GPU.
Tools for using and manipulating simple basic data structures
View graph data structures in the IPython notebook.
Declarative structural computation: exact polynomial-time answers to combinatorial questions on structured graphs, with automatic routing to the cheapest correct evaluator.
Research prototype for streaming transaction structuring detection and graph risk features
Graph neural network tool for solvent removal from MOF structures
A Dash Graph component modified to support use of figure.data-structured input to extend and/or add traces.
AutoML tools for graph-structure dataset
Analyze the structure of C# projects and solutions: dependency graphs, package references, version conflicts, and structural metrics
LiteratureGraphContext: structure paper PDFs into a knowledge graph for AI assistants.
Build a structured AI knowledge graph in Obsidian through natural conversation
Cached, incremental code-graph maps so AI agents query code structure instead of reading whole files. `explore` returns verbatim source + call edges + blast radius in one call; plus FTS5 search, multi-hop impact analysis, import-based affected-tests, and .gitignore-aware indexing with exclude/include config. CLI + MCP server, wires into Claude Code, Codex, Gemini CLI, and Cursor. Auto-sync watch mode.
A Python library for graph theory analysis of microscopy images.
A framework for performing forward and derivative analyses for systems following directed acylic graph structure.
Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
Local-first knowledge graph for software projects. Gives AI tools structural facts about your codebase via 11 MCP tools.
OpenTrace Python agent — maps system architecture, code structure, and service relationships into a knowledge graph
Turn any business website into a clean, structured company profile — a graph-based extraction engine.
Primitive structure extraction and graph kernels for molecular graph classification, with a scikit-learn API
Core schema, normalization, and crystal graphs for MatterGraph.
Generate polyglot code for de/serializing object graphs from JSONable structures.
Structured graph runtime for Python and TypeScript.
A Python package that implements common data structures such as Array, Stack, Queue, Linked List, Binary Tree, and Graph.
A structure-informed graph neural network for predicting TCR-pMHC binding
Graph package
Structural dependency graph for codebases - the memory layer for developers and AI agents
KIN (K Immediate Neighbors) is a machine learning algorithm inspired by KNN (K Nearest Neighbors) which has been adjusted to graph-structured data.
Buddhist concepts as load-bearing Python infrastructure: reactive dependency graphs, retention profiling, decay containers, side-effect ledger, structural identity tools, runtime introspection, and a project-quality checker.
Defines the standardized interface and data structures for Context Graph plugins, enabling the semantic linking, decomposition, and enrichment of multi-modal content.
Basic Chemistry Toolkit
Multi-genome gene order based scaffold assembler
Heterogeneous Knowledge Graph engine for structured LLM reasoning
Causal Temporal Regime Structure Learning (CASTOR): joint regime and temporal causal graph discovery
Transform your codebase into a structured semantic knowledge graph for AI agents and developers.
Symmetry-break cataloguing — ISA + SQLite schema + MCP server for accumulating named structural distinctions about a domain (Klein-four-equipped, self-hosting)
Transform PDF documents into structured knowledge graphs with citation provenance
Knowledge graph CLI for structured memory in Claude Code
Structured NLP tasks powered by a fine-tuned small language model
Java AST Structural Graph – static structural dependency analysis for Java codebases
A package to work with protein structure networks
Structural context compiler for AI coding agents — 73× token reduction via spatial .exv maps
Python library for creating graphs, trees, and gemini structures.
Graph algorithms and data structures
A comprehensive, zero-dependency collection of fundamental data structures for Python
Benchmark harness for structural invariants: collisions and frontiers over non-isomorphic corpora, T4 across universes (standard, multilayer, hypergraph), anchors table and controls (relabeling, negative). Built on the GraphKind engine.