# networkx/networkx **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/networkx-networkx).** 16,641 stars · 3,464 forks · Python · other ## Links - GitHub: https://github.com/networkx/networkx - Homepage: https://networkx.org - awesome-repositories: https://awesome-repositories.com/repository/networkx-networkx.md ## Topics `complex-networks` `graph-algorithms` `graph-analysis` `graph-generation` `graph-theory` `graph-visualization` `python` ## Description NetworkX is a Python library designed for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. It provides a comprehensive framework for modeling relationships between entities as graphs, directed graphs, or multigraphs, allowing users to attach arbitrary metadata and properties to nodes and edges. The library distinguishes itself through a modular architecture that decouples graph analysis logic from data storage, utilizing nested dictionaries and adjacency lists to manage topology. It features a pluggable backend system that delegates computationally intensive numerical routines to external scientific computing libraries, bridging high-level graph logic with low-level performance requirements. The project includes a broad suite of tools for synthetic network generation, community detection, and structural metric analysis to identify patterns within complex datasets. It also provides a coordinate-based layout engine and rendering methods to map abstract graph structures onto two-dimensional planes for visual interpretation. ## Tags ### Data & Databases - [Graph Libraries](https://awesome-repositories.com/f/data-databases/graph-computing-systems/graph-theory/graph-libraries.md) — Provides a comprehensive package for creating, manipulating, and studying the structure, dynamics, and functions of complex networks. - [Graph Data Models](https://awesome-repositories.com/f/data-databases/graph-data-models.md) — Represents relationships between entities using flexible data structures that support graphs, directed graphs, and multigraphs. ([source](https://networkx.org)) - [Graph Community Detection](https://awesome-repositories.com/f/data-databases/anomaly-detection/graph-community-detection.md) — Detects clusters within a graph using spectral bipartitioning or greedy node-swapping algorithms to reveal underlying structural groupings. ([source](https://networkx.org/documentation/stable/release/release_3.6.1.html)) - [Adjacency Lists](https://awesome-repositories.com/f/data-databases/list-data-structures/adjacency-lists.md) — Organizes network connections as a collection of lists where each node maps to its neighbors for fast traversal. - [Network](https://awesome-repositories.com/f/data-databases/metric-calculators/network.md) — Calculates structural metrics and dynamics of networks to identify patterns, connectivity, and functional characteristics. ([source](https://networkx.org)) - [Numerical Library Integrations](https://awesome-repositories.com/f/data-databases/numerical-library-integrations.md) — Delegates computationally intensive graph algorithms to external numerical libraries to accelerate matrix operations and linear algebra calculations. ### Networking & Communication - [Complex Networks](https://awesome-repositories.com/f/networking-communication/network-infrastructure-routing/network-infrastructure-configuration/network-management/complex-networks.md) — Provides a flexible data structure for representing social, biological, and infrastructure systems as graphs, directed graphs, or multigraphs. ### Graphics & Multimedia - [Graph Visualization Libraries](https://awesome-repositories.com/f/graphics-multimedia/visualization-mapping/graph-visualization-libraries.md) — Provides a collection of methods for rendering complex graph structures and node layouts to help users interpret relationships. - [Graph Node Visualizations](https://awesome-repositories.com/f/graphics-multimedia/graphics-engines-rendering/rendering/engines/canvas-vector-graphics/custom-shape-rendering/graph-node-visualizations.md) — Provides methods to render network graph nodes and edges onto coordinate planes for visual interpretation of complex structures. ([source](https://networkx.org/documentation/stable/release/release_3.6.1.html)) ### Scientific & Mathematical Computing - [Scientific Computing Platforms](https://awesome-repositories.com/f/scientific-mathematical-computing/high-performance-execution-environments/scientific-computing-platforms.md) — Provides a toolkit for performing high-performance numerical analysis on network data by integrating with external scientific computing backends. ### Artificial Intelligence & ML - [Synthetic Network Generators](https://awesome-repositories.com/f/artificial-intelligence-ml/synthetic-data-generators/synthetic-network-generators.md) — Creates classic, random, or custom graph topologies to model real-world systems or test network behavior. ([source](https://networkx.org)) ### Software Engineering & Architecture - [Graph Layout Engines](https://awesome-repositories.com/f/software-engineering-architecture/software-architecture/diagramming-standards/graph-layout-engines.md) — Calculates spatial positioning for nodes by applying mathematical algorithms to map abstract graph structures onto two-dimensional planes. - [Library Interfaces](https://awesome-repositories.com/f/software-engineering-architecture/library-interfaces.md) — Provides programmatic interfaces for external applications to consume core graph logic and functionality. ([source](https://networkx.org/documentation/latest/)) ### User Interface & Experience - [Data Visualization](https://awesome-repositories.com/f/user-interface-experience/data-visualization-tools/data-visualization.md) — Renders complex connections and node layouts into graphical formats to help users explore and interpret relationships within data. ### Programming Languages & Runtimes - [Graph Representations](https://awesome-repositories.com/f/programming-languages-runtimes/programming-utilities/data-structure-type-helpers/data-structures/dictionaries/graph-representations.md) — Stores graph topology using nested dictionaries to provide efficient lookups for node neighbors and associated edge attributes. ### Development Tools & Productivity - [Modular Architecture](https://awesome-repositories.com/f/development-tools-productivity/modular-architecture.md) — Decouples graph analysis logic from data storage to allow independent implementation of community detection and structural metric functions. ### Education & Learning Resources - [Matrix-to-Graph Converters](https://awesome-repositories.com/f/education-learning-resources/matrix-operations/matrix-to-graph-converters.md) — Generates network structures from biadjacency matrices by mapping matrix rows and columns to specific node lists. ([source](https://networkx.org/documentation/stable/release/release_3.6.1.html))