Gephi is an open-source software designed for graph and network analysis, featuring a 3D render engine for real-time visualization of large networks. It offers a flexible, multi-task architecture that supports spatialization, filtering, navigation, manipulation, and clustering. Key features include high-quality layout algorithms, data filtering, clustering, statistics, and annotation. The software is user-friendly and can handle complex data sets, making it accessible to both experts and beginners. Gephi's visualization module uses a 3D render engine to display graphs in real-time, leveraging the computer's graphics card to free up the CPU. It supports large networks (over 20,000 nodes) and multi-core processors. The software also includes a powerful plugin system and a timeline component for dynamic network visualization, allowing users to explore network changes over time. Future developments will focus on enhancing clustering, hierarchical networks, and spatialization algorithms, as well as improving the user interface and performance. Gephi is available at http://gephi.org.Gephi is an open-source software designed for graph and network analysis, featuring a 3D render engine for real-time visualization of large networks. It offers a flexible, multi-task architecture that supports spatialization, filtering, navigation, manipulation, and clustering. Key features include high-quality layout algorithms, data filtering, clustering, statistics, and annotation. The software is user-friendly and can handle complex data sets, making it accessible to both experts and beginners. Gephi's visualization module uses a 3D render engine to display graphs in real-time, leveraging the computer's graphics card to free up the CPU. It supports large networks (over 20,000 nodes) and multi-core processors. The software also includes a powerful plugin system and a timeline component for dynamic network visualization, allowing users to explore network changes over time. Future developments will focus on enhancing clustering, hierarchical networks, and spatialization algorithms, as well as improving the user interface and performance. Gephi is available at http://gephi.org.