Tom Sawyer Perspectives is a data-driven web, desktop, and cloud-based platform for building graph and data visualization and analysis applications.
Tom Sawyer Perspectives is a low-code graph and data visualization and analysis development platform with an integrated design and preview interface and extensive API libraries. The platform integrates enterprise data sources with powerful graph visualization, layout, and analysis technology to solve big data problems.
Perspectives enables developers to quickly develop production-quality, data-oriented visualization applications. Two graphic modules—the Designer and Previewer—are used to build applications to visualize and analyze the specific data that drives each project.
Using the Designer, developers define the schema, data sources, bindings, rules, views, filters, searches, and analyses. To simplify schema creation, several integrators support schema extraction. Developers can also use the Designer to specify custom toolbars, tooltips, context menus, and graphical viewing and editing behaviors. With the Previewer, they can iteratively view the application design without needing to recompile. When used together, the Designer and Previewer provide an efficient round-trip process that dramatically speeds up application development.
Tom Sawyer Perspectives currently scores 77/100 in the Data Visualization category. This is based on press buzz (41/100), recent user trends (falling), and other relevant information on Tom Sawyer Perspectives gathered from around the web.
The score for this software has stayed the same over the past month. What is this? |
Regional Restrictions: Worldwide / available in english
Low-code graph and data visualization and analysis development platform.
Data federation from multiple data sources into a single data model.
Drawings, maps, charts, timelines, tables, trees, and inspector data views.
Bundle, Circular, Hierarchical, Orthogonal, and Symmetric layouts.
Address analytic problems with more than 30 built-in algorithms such as centrality analysis; clustering and partitioning; dependency, impact, and root-cause analysis; path finding; traversals; cycles; trees; and network flows.
Flexible filtering; attribute-driven search; synchronized selection and highlighting; overviews; panning and link navigation; and marquee, focal, and interactive zooming.
Product recommendations, vendor rankings, market overview and tips on how to select Data Visualization software for business. Published in December 2024.
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FREE DOWNLOAD Data-Visualization-Software-Buyer-Guide-2018.pdfEnterprises, systems integrators, technology providers, and government agencies.
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To visualize and analyze social networks; network topologies and IT operations; architectures and models; schematics and maps; and dependencies, flows, and processes.
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