Mathematica is a computational software program based on symbolic mathematics, developed by Wolfram Research.
Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.
Create complex and interactive data visualizations with minimal input and development time by using a ready-to-go javascript charts library.
Neo4j Graph Data Science is an analytics and ML engine that uses the relationships in your data to improve predictions. It plugs into enterprise data ecosystems so you can get more data science projects into production quickly. Using pretuned graph algorithms, data scientists can explore billions of data points in seconds to identify hidden connections and generate compelling visualizations that lead to better stakeholder decision making. Practical business applications and operations benefit from the context-first analysis that only graphs can provide across projects like recommendation engines, anomaly and fraud detection, route optimization, marketing, network analysis, and many more.
Gephi is an open-source visualization and exploration software for all kinds of graphs and networks.
Arcade Analytics is a graph analytics tools Making graph analysis visual stunning and simple to use. Arcade runs on all modern browsers and squeezes the GPU if available.
Build game-changing graph visualization products that turn connected data into insight.
Rocketgraph enables enterprises and government agencies to extract hard-to-find insights from massive, complex datasets—100x faster than traditional tools. What We Do Born from a Department of Defense supercomputing project, our platform combines GenAI with scalable property graphs to solve real-world problems like: • Fraud detection and risk scoring • Cyber threat monitoring, including dark web activity • Forecasting and strategic intelligence • Network and infrastructure security Our graph engine scales to hundreds of billions of edges, making it ideal for investigative workflows, high-performance analytics, and decision support. Based in Seattle | 11–50 team members | Founded in 2014
A pure JavaScript library for creating interactive diagrams on the Web. GoJS makes it easy to construct interactive diagrams of Nodes, Links, and Groups, with customizable templates and layouts.
NetMiner 5 offers an integrated environment that supports the entire analytics workflow—from data collection to interpretation— along with a wide range of data types and analytical techniques such as Social Network Analysis/Graph Analytics, M/L, GNN and Visualization. With big data collection, AI-powered auto-interpretation, and a user-friendly, intuitive interface, anyone can easily get started with data analysis.
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.