Track and query Cargo dependency graphs.

Track and query Cargo dependency graphs.

Creates graphviz dependency graphs for Rust projects that use Cargo

A cargo subcommand for creating GraphViz DOT files and dependency graphs

📦 Creates graphs of crates from cargo metadata 🦀

Generate graphs of a Cargo project's dependencies

Know your dependencies via interactive cargo dependency graph visualization. An opinionated fork of cargo-depgraph that focuses on interactivity.

Cargo subcommand to generate trend graph of dependent crates

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Using recurrent Spatio-Temporal Graph Convolutional Neural Networks to improve ETA predictions of cargo railway transportation.

Display a tree visualization of a CocoaPods dependency graph, similar to the `cargo tree` command.

Display a graph from the Cargo packages in a Rust project

Image for a C# tutorial at youtube.com/shadsluiter

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TrainLogisticsApp is a Java application for modeling and managing railway logistics. It allows the creation and management of trains, wagons, railway stations, and connections. The application supports functionalities like wagon attachment, cargo loading, and train routing based on a railway message graph algorithm.

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Cross-ecosystem dependency security scanner. Detects the axios RAT supply chain attack and similar threats. 4-layer detection: AST analysis, behavioral fingerprinting, dep graph profiling, registry metadata. Scans npm/PyPI/Cargo/Brew. Zero dependencies.

Define a group of problems in classical PDDL (Planning Domain Definition Language) for the air cargo domain. Set up the problems for search, experiment with various automatically generated heuristics, including planning graph heuristics, to solve the problems.

This project optimizes cargo delivery routes using Ant Colony Optimization (ACO). It simulates ant behavior to find near-optimal paths on a weighted graph, dynamically updating routes through pheromone trails, making it effective in large, dynamic networks.

The Cargo Mover project based on combined concept of Travelling Salesman Problem and Djikstra’s algorithm. It uses graph as an effective data structure to represent a map with fed locations of the Pick-ups and the truck position.

A Python tool for analyzing and visualizing architectural dependencies from DOT graphs, featuring circular dependency detection, layer violation checks, and generation of color-coded, layered DOT diagrams for enhanced readability. Designed to process outputs from tools like Rust's cargo modules.

Using a greedy approach, I designed a simulation for a truck driver to deliver all cargo for the day and return to the dispatch location in the shortest distance possible. The algorithm tries to approach the shortest Hamiltonian circuit in a connected graph.

Cargo subcommand for building dependency graphs of Rust projects.

Self-contained Cargo.lock parser with optional dependency graph analysis

Graph cargo dependencies.

[DEPRECATED] Custom Routing Profile for GraphHopper

RUST FLOWCHART GENERATOR

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Graph cargo dependencies across multiple repositories

Small test for CargoMedia