The Network Repository (NR) is the first interactive data repository with a web-based platform for visual interactive analytics. Unlike other data repositories, such as UCI ML Data Repository and SNAP, NR allows users to not only download but also interactively analyze and visualize data using its web-based interactive graph analytics platform. Users can analyze, visualize, compare, and explore data in real-time across many dimensions. The aim of NR is to enable users to quickly discover key insights into data with minimal effort, while also providing a medium for sharing data, visualizations, and insights. NR differentiates itself from other repositories through the number, size, and variety of graph datasets. It also incorporates social and collaborative aspects, allowing users to discuss graphs, post observations, and visualizations. NR provides hundreds of graphs and network datasets for users to download and share. The key factor differentiating NR from other repositories is its interactive graph analytics and visualization platform. NR allows users to interactively explore and visualize data in real-time. Scientific progress depends on standard datasets for comparing and evaluating claims, hypotheses, and algorithms. NR aims to improve and facilitate the scientific study of networks and other data by making it easy to interactively explore, visualize, and compare a large number of datasets. NR is the first interactive graph data repository that provides researchers with the ability to interactively explore and visualize data in seconds using its fast and easy-to-use interactive analytics platform. The repository has a comprehensive and representative set of the most popular and frequently used datasets in academia and industry, including 500+ graphs. NR allows users to upload and visualize their own data. Static plots are limiting as they only provide a single view of the data. In contrast, the interactive platform offers an infinite number of possible views, such as scaling, zooming, filtering, and other data transformations. NR gives researchers the flexibility to interactively plot and visualize data according to their interests. Researchers can analyze and investigate data independently, asking their own questions and verifying recently published findings. NR also allows researchers to explore, analyze, and compare graph data interactively by selecting or filtering data points across various graph statistics and properties. The platform enables users to create profiles, donate datasets, share visualizations, and insights, as well as save synthetically generated networks and visualizations. NR also includes interactive graph generation, including model-based, pattern-based, and hybrid generators.The Network Repository (NR) is the first interactive data repository with a web-based platform for visual interactive analytics. Unlike other data repositories, such as UCI ML Data Repository and SNAP, NR allows users to not only download but also interactively analyze and visualize data using its web-based interactive graph analytics platform. Users can analyze, visualize, compare, and explore data in real-time across many dimensions. The aim of NR is to enable users to quickly discover key insights into data with minimal effort, while also providing a medium for sharing data, visualizations, and insights. NR differentiates itself from other repositories through the number, size, and variety of graph datasets. It also incorporates social and collaborative aspects, allowing users to discuss graphs, post observations, and visualizations. NR provides hundreds of graphs and network datasets for users to download and share. The key factor differentiating NR from other repositories is its interactive graph analytics and visualization platform. NR allows users to interactively explore and visualize data in real-time. Scientific progress depends on standard datasets for comparing and evaluating claims, hypotheses, and algorithms. NR aims to improve and facilitate the scientific study of networks and other data by making it easy to interactively explore, visualize, and compare a large number of datasets. NR is the first interactive graph data repository that provides researchers with the ability to interactively explore and visualize data in seconds using its fast and easy-to-use interactive analytics platform. The repository has a comprehensive and representative set of the most popular and frequently used datasets in academia and industry, including 500+ graphs. NR allows users to upload and visualize their own data. Static plots are limiting as they only provide a single view of the data. In contrast, the interactive platform offers an infinite number of possible views, such as scaling, zooming, filtering, and other data transformations. NR gives researchers the flexibility to interactively plot and visualize data according to their interests. Researchers can analyze and investigate data independently, asking their own questions and verifying recently published findings. NR also allows researchers to explore, analyze, and compare graph data interactively by selecting or filtering data points across various graph statistics and properties. The platform enables users to create profiles, donate datasets, share visualizations, and insights, as well as save synthetically generated networks and visualizations. NR also includes interactive graph generation, including model-based, pattern-based, and hybrid generators.