Awesome GitHub RepositoriesNetwork Analysis

Dgraph is a distributed graph database designed to store and query highly connected data. It organizes information as nodes and edges to represent complex relationships between entities, providing a platform for managing and analyzing deeply linked datasets. The system functions as a horizontally scalable cluster that partitions data across multiple nodes to maintain performance and availability as information volume increases. It utilizes a specialized query language built for low-latency navigation of interconnected data points, allowing for the execution of complex queries across large-sca

sigma.js is a JavaScript graph visualization library and WebGL network renderer designed for drawing large-scale network graphs in web browsers. It functions as a high-performance engine capable of rendering network structures containing thousands of nodes and edges interactively. The library provides a customizable graph engine that allows for the creation of specialized visualizations using low-level graphics primitives and custom drawing layers. It supports the rendering of diverse node shapes, such as images or piecharts, and enables the integration of graph visualizations as overlays on

Cytoscape.js is a JavaScript library designed for rendering interactive node-link diagrams and analyzing complex network structures directly within a web browser. It functions as a comprehensive framework for building responsive graph interfaces, providing the tools necessary to visualize relational datasets and manage hierarchical data models. The library distinguishes itself through a modular architecture that supports custom layout algorithms and rendering styles, allowing for the integration of physics-based engines to organize complex network structures automatically. It utilizes an even

Pattern is a Python web mining library that functions as an HTML web scraper, a natural language processing toolkit, and a network analysis tool. It provides a mathematical framework for categorizing datasets through a vector space model library. The project enables the extraction of structured data from web services and the creation of searchable web content indexes. It processes unstructured text using sentiment analysis, part-of-speech tagging, and n-gram searching. The library covers machine learning classification through the training of models using perceptron algorithms and support ve

petgraph is a graph data structure library for the Rust programming language. It provides a collection of tools for representing and manipulating graphs, functioning as a network analysis tool and a comprehensive graph algorithm suite. The library integrates with Graphviz DOT for importing, exporting, and parsing graph data to facilitate visualization. It distinguishes itself by offering specialized network analysis capabilities, such as the detection of cliques, bridge edges, articulation points, and subgraph isomorphisms. Its computational surface covers a wide range of algorithms, includi

Cozo is a logic-based database engine that functions as a relational data store, an embedded graph database, and a temporal vector database. It utilizes a Datalog-inspired query language to execute relational, recursive, and graph queries. The system distinguishes itself through specialized indexing for high-dimensional vector similarity searches and near-duplicate detection using locality sensitive hashing. It also provides built-in temporal versioning, allowing for historical state retrieval and time-travel queries to access data as it existed at specific points in time. Its broader capabi

Stellar Core is the primary software implementation of the Stellar blockchain network, serving as a distributed ledger and a Federated Byzantine Agreement system. It functions as a core node that maintains the shared state of the network and provides a runtime environment for executing WebAssembly smart contracts. The project enables the creation and management of digital assets, including the implementation of decentralized exchanges through distributed orderbooks and automated liquidity pools. It facilitates cross-border payment settlement by routing assets via path payments and bridging di

This repository serves as an educational collection of practical examples and tutorials designed to facilitate the study of machine learning and data science concepts using Python. It provides a structured environment for learning core algorithms and data analysis techniques through hands-on implementation and iterative exploration. The project covers a broad range of analytical capabilities, including predictive modeling for regression, classification, and clustering tasks, as well as network topology analysis for identifying influence patterns in interconnected data. It also incorporates na