Best Graph Visualization Tools Software - Page 2

Graphlytic

i2 Analyze

i2 Analyze is an integrated set of secure services and stores that provide search, analysis, and storage of intelligence data to authorized users. It presents these functions through the web and desktop applications that connect to it.

KeyLines Graph Visualization Toolkit

Build game-changing graph visualization products that turn connected data into insight.

Average Rating: 4.8/5.0

Total Reviews: 4

Linkurious

At Linkurious, a Nuix company, we provide the next generation of data visualization and analytics solutions powered by graph technology. We help teams of analysts and investigators swiftly and accurately find insights otherwise hidden in complex connected data so they can make more informed decisions, faster.

Average Rating: 4.5/5.0

Total Reviews: 1

Linkurious Enterprise

Maltego Graph

Maltego Graph is a comprehensive cyber investigation platform designed to accelerate complex investigations by enabling users to uncover and visualize connections within large datasets swiftly. It integrates data from various sources, including open-source intelligence (OSINT), social media, and internal databases, presenting them in an intuitive graph format. This visualization aids in identifying patterns and relationships that might be overlooked in traditional analysis methods. Key Features and Functionality: - Visual Link Analysis: Maltego Graph allows users to perform link analysis on up to 10,000 entities within a single graph, facilitating the identification of complex relationships. - Data Integration: The platform offers seamless access to over 120 data providers, encompassing more than 12,000 search methods across various domains such as cyber threat intelligence, social media, dark web, cryptocurrency, and corporate data. - Customizable Transforms: Users can create custom integrations with internal repositories and develop their own APIs and Transforms, enabling tailored data analysis. - Collaboration Tools: Maltego Graph supports real-time collaboration by allowing multiple analysts to share and work on encrypted graphs simultaneously. - Automation Capabilities: The platform includes features to automate repetitive investigative processes, enhancing efficiency and consistency in investigations. Primary Value and User Solutions: Maltego Graph addresses the challenges of managing and analyzing vast amounts of dispersed data by providing a unified platform that consolidates diverse information sources. Its visual representation of data connections simplifies the detection of patterns and relationships, significantly reducing the time required for complex investigations. By automating routine tasks and offering customizable tools, Maltego Graph empowers investigators to focus on critical analysis, thereby enhancing the accuracy and depth of their findings. This makes it an invaluable asset for professionals in cybersecurity, law enforcement, and intelligence sectors who require efficient and thorough investigative capabilities.

NetMiner

NetMiner 5 is an advanced analytics platform developed by CYRAM Inc. that combines graph theory, machine learning, and AI to analyze, visualize, and interpret network and text data. Designed for researchers, analysts, and decision-makers across academia, government, and industry, NetMiner helps users uncover complex relational and textual patterns without requiring any programming expertise. At its core, NetMiner is built around social network analysis (SNA), enabling the structural exploration of relationships between people, organizations, documents, and concepts. It supports one-mode, two-mode, and multiplex networks, and provides a wide range of SNA metrics from basic to advanced to assess individual centrality, group dynamics, and whole-network structure. NetMiner goes beyond traditional SNA by integrating machine learning (ML) and graph neural networks (GNNs). Users can easily apply supervised and unsupervised learning techniques such as classification, regression, and clustering, as well as GNN models like GCN, GraphSAGE, and GAT, for predictive modeling. In terms of text analysis, NetMiner offers powerful capabilities to extract keywords, build co-occurrence networks, generate word clouds, and perform topic modeling using LDA. This allows users to move beyond frequency-based analysis and explore the latent meaning structure in large text corpora. NetMiner includes a powerful interactive 2D visualization engine that makes network structure exploration intuitive. Nodes and links can be styled by centrality, frequency, or categories, and users can zoom, filter, and drag to explore key actors and patterns. These visualizations are directly linked to the data for accurate interpretation. Even with large datasets, dynamic visual analysis is possible without writing code. The built-in AI Assistant, powered by LLMs like GPT and Gemini, helps interpret results and suggests next steps—making it accessible even to users who are new to network or text analysis. NetMiner is widely used across fields including: - Academic research: sociology, communication, political science, digital humanities, education - Policy analysis and public sector planning: stakeholder mapping, policy network evaluation, community structure detection - Enterprise analysis: internal communication auditing, compliance monitoring, customer segmentation, influencer analysis - Media and social media analysis: opinion leader detection, information diffusion, discourse analysis - Cybersecurity and anomaly detection: email network analysis, abnormal behavior pattern identification NetMiner supports importing and exporting various file formats (CSV, Excel) and integrates with external tools via APIs and scripting. Licenses are available for students, educational institutions (schools), and organizations/corporations. More than just a network visualization tool, NetMiner is a complete analysis environment built on the foundation of network thinking. It helps users move from data to insight to action—faster, smarter, and with greater clarity. To learn more or request a demo, visit www.netminer.com

Average Rating: 4.5/5.0

Total Reviews: 1

NodeXL Pro

NodeXL is a social network analysis and visualization tool that runs inside Microsoft Excel, making professional network science accessible to analysts, researchers, marketers, and journalists without writing code. Instead of learning specialized software or a programming language, users work in a familiar spreadsheet to import, analyze, and visualize the relationships between people, accounts, topics, and content. With NodeXL Pro, users import network data directly from X (Twitter), Reddit, YouTube, Wikipedia, Bluesky, Instagram, WhatsApp, and enterprise social listening platforms such as Brandwatch, Meltwater, and Talkwalker. Once data is imported, NodeXL automatically calculates the network metrics that reveal how a conversation actually works, including degree, betweenness centrality, and PageRank, and applies community detection algorithms to surface tightly connected groups. Built-in layout algorithms and customizable visualizations turn this analysis into clear, publication-ready network maps and graphs. NodeXL helps teams answer the questions that matter in social media analytics and online research: Who are the most influential voices in this conversation? Which communities are forming around a topic, brand, or event? How is information or misinformation, spreading across a network? It is widely used for social media monitoring, influencer identification, marketing and brand research, organizational network analysis, OSINT and investigative journalism, and academic study. A defining strength of NodeXL is its local-first, Excel-native architecture. Data stays on the user's machine, supporting reproducible methodology, raw data ownership, and the privacy standards required by enterprise, government, and academic users. The NodeXL ecosystem also includes NodeXL INSIGHTS, which transforms analysis into shareable, interactive dashboards for clients, executives, and collaborators, and NodeXL Academy, offering training, courses, and certification in network analysis. Originally developed in collaboration with Microsoft Research and Professor Ben Shneiderman of the University of Maryland, NodeXL has deep academic credibility. Its methodology is cited in more than 1,400 peer-reviewed publications and taught at over 400 universities worldwide. NodeXL is developed and supported by the Social Media Research Foundation, a California nonprofit dedicated to building open tools and open data for understanding social media. Available in Student, Academic/Nonprofit, and Commercial editions, as a Windows desktop license or a Cloud edition for Mac and Windows. NodeXL delivers the analytical depth of dedicated network science software with the ease of a spreadsheet, helping organizations measure, map, and understand the networks that shape their world.

Ogma

Quantexa

Quantexa empowers organisations to drive better decisions from their data. Using the latest advancements in big data and AI, Quantexa uncovers hidden customer connections and behaviours to solve major challenges in financial crime, customer insight and data analytics.

ReGraph graph visualization toolkit for React

ReGraph is a React SDK for building browser-based, interactive, custom and high-performance graph visualizations that reveal threats and hidden insight. For React developers, ReGraph offers a simple and clean coding experience. It has familiar logic, easy state handling and well-documented props. It fits with any browser, device, server or database and comes with clear tutorials, demos and API documentation. Combined with our developer support, you’ll be uncovering network insight in no time. https://cambridge-intelligence.com/regraph/

Sentinel Visualizer

SentVi (formerly Sentinel Visualizer)

SentVi (formerly Sentinel Visualizer) is link analysis software for investigations, litigation support, and intelligence analysis. Built by FMS, Inc., it maps relationships among people, places, events, phone numbers, accounts, and transactions from data such as call detail records, financial records, and case files, with integrated timeline, geospatial, and social network analysis. Windows desktop application on Microsoft SQL Server, with browser and remote app options; perpetual licenses in four editions, a free trial, and a free Reader for sharing results.

System

System Graph is a comprehensive data visualization and analysis platform designed to help organizations transform complex datasets into actionable insights. By leveraging advanced graph technology, it enables users to uncover hidden patterns, relationships, and trends within their data, facilitating more informed decision-making processes. Key features and functionality of System Graph include: - Intuitive Graph Visualization: Offers interactive and customizable graph representations, allowing users to explore data connections seamlessly. - Advanced Analytics Tools: Provides a suite of analytical tools for in-depth data analysis, including pattern recognition, clustering, and predictive modeling. - Scalability: Capable of handling large-scale datasets efficiently, ensuring performance remains optimal as data volume grows. - Integration Capabilities: Supports integration with various data sources and platforms, enabling a unified view of information across systems. - User-Friendly Interface: Designed with a focus on usability, ensuring both technical and non-technical users can navigate and utilize the platform effectively. The primary value of System Graph lies in its ability to simplify complex data analysis, empowering users to identify critical insights and make data-driven decisions. By visualizing intricate data relationships, it addresses challenges related to data complexity and accessibility, ultimately enhancing operational efficiency and strategic planning.

Tom Sawyer Explorations

Apply graph intelligence to your data and achieve first insights in minutes with no coding!