The Network Data Repository (NR) is the first interactive data repository that allows users to not only download but also interactively analyze and visualize graph data using a web-based platform. Unlike traditional data repositories such as UCI ML Repository and SNAP, NR offers a dynamic environment where users can explore, compare, and visualize data in real-time across multiple dimensions. NR contains hundreds of graph datasets from various collections, including social, information, and biological networks, spanning a wide range of types and domains. It provides a comprehensive set of popular and frequently used datasets in academia and industry, with over 500 graphs from 19 general collections. NR's key feature is its interactive graph analytics and visualization platform, which enables users to explore and analyze data in seconds. The platform allows users to zoom in on specific data points, scale data, and filter based on various graph properties. NR also supports interactive graph clustering tasks, such as role discovery and community detection. The repository is community-oriented, allowing users to share data, visualizations, and insights. It also enables users to upload and visualize their own data. NR's interactive platform provides an infinite number of possible views, unlike static plots found in other repositories. NR also incorporates state-of-the-art graph sampling methods to ensure fast and efficient data processing. Despite the increasing interest in graph data and algorithms, there remains a lack of standard benchmark datasets for many problems. NR encourages users to upload data, including references to published papers, to facilitate reproducible research. NR is a valuable resource for researchers seeking to explore, compare, and analyze graph data in an interactive and efficient manner.The Network Data Repository (NR) is the first interactive data repository that allows users to not only download but also interactively analyze and visualize graph data using a web-based platform. Unlike traditional data repositories such as UCI ML Repository and SNAP, NR offers a dynamic environment where users can explore, compare, and visualize data in real-time across multiple dimensions. NR contains hundreds of graph datasets from various collections, including social, information, and biological networks, spanning a wide range of types and domains. It provides a comprehensive set of popular and frequently used datasets in academia and industry, with over 500 graphs from 19 general collections. NR's key feature is its interactive graph analytics and visualization platform, which enables users to explore and analyze data in seconds. The platform allows users to zoom in on specific data points, scale data, and filter based on various graph properties. NR also supports interactive graph clustering tasks, such as role discovery and community detection. The repository is community-oriented, allowing users to share data, visualizations, and insights. It also enables users to upload and visualize their own data. NR's interactive platform provides an infinite number of possible views, unlike static plots found in other repositories. NR also incorporates state-of-the-art graph sampling methods to ensure fast and efficient data processing. Despite the increasing interest in graph data and algorithms, there remains a lack of standard benchmark datasets for many problems. NR encourages users to upload data, including references to published papers, to facilitate reproducible research. NR is a valuable resource for researchers seeking to explore, compare, and analyze graph data in an interactive and efficient manner.