An intuitive interface where users can create complex charts, maps, and dashboards by dragging data fields onto shelves for rows, columns, marks, and filters without writing code.
Provides free cloud hosting for published dashboards, generating a permanent URL and embeddable HTML code that can be integrated into any website or blog.
Allows creators to build custom interactive controls, such as drop-down menus, sliders, and search boxes, that let viewers dynamically filter and explore the data within a published visualization.
The 'Pages' shelf lets authors create a series of visual frames that can be stepped through like slides, animating changes in data over time or across categories to tell a narrative.
The platform curates and features a 'Viz of the Day' on its homepage and maintains a massive, searchable public gallery of millions of visualizations created by users worldwide.
Through Web Data Connectors, Tableau Public can connect to live data sources available via APIs or specific web pages, allowing visualizations to update when the underlying source data changes.
Journalists and news organizations use Tableau Public to create interactive graphics that accompany articles. They can embed visualizations that allow readers to filter data by location, demographic, or time period, exploring the story's data for themselves. This transforms passive reading into an engaging, investigative experience, increasing transparency and reader trust. Outlets like The Guardian and The New York Times have used such embeds to illustrate complex topics like election results, pandemic data, and economic trends.
Researchers, PhD students, and academics use the platform to publish supplementary interactive visualizations for papers, theses, or conference presentations. It provides a citable, persistent URL that peers can use to validate findings and explore the underlying data interactively. This moves beyond static charts in PDFs, supporting open science and reproducibility by making the data exploration process accessible to the broader academic community.
Non-governmental organizations (NGOs) and advocacy groups leverage Tableau Public to visualize impact metrics, funding allocations, and research on social issues (e.g., poverty, climate change, health). They embed these dashboards on their websites to communicate their mission and results transparently to donors, stakeholders, and the public. The interactive nature helps tell compelling stories that drive awareness, support, and action based on data-driven evidence.
Individuals breaking into the data analytics field use Tableau Public as a free portfolio platform. They can work on personal projects or public datasets, publish their dashboards, and share the profile link with potential employers. This demonstrates practical skills in data manipulation, visualization design, and storytelling, providing tangible proof of competency that is more impactful than a resume listing software familiarity.
Instructors in high schools and universities use Tableau Public as a teaching tool for statistics, business, and social science courses. Students can download the free software, work with real-world datasets, and publish their projects. The public gallery also serves as a resource for students to see diverse examples of visualizations, understanding different chart types and narrative techniques used in practice.
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15Five operates in the people analytics and employee experience space, where platforms aggregate HR and feedback data to give organizations insight into their workforce. These tools typically support engagement surveys, performance or goal tracking, and dashboards that help leaders interpret trends. They are intended to augment HR and management decisions, not to replace professional judgment or context. For specific information about 15Five's metrics, integrations, and privacy safeguards, you should refer to the vendor resources published at https://www.15five.com.
20-20 Technologies is a comprehensive interior design and space planning software platform primarily serving kitchen and bath designers, furniture retailers, and interior design professionals. The company provides specialized tools for creating detailed 3D visualizations, generating accurate quotes, managing projects, and streamlining the entire design-to-sales workflow. Their software enables designers to create photorealistic renderings, produce precise floor plans, and automatically generate material lists and pricing. The platform integrates with manufacturer catalogs, allowing users to access up-to-date product information and specifications. 20-20 Technologies focuses on bridging the gap between design creativity and practical business needs, helping professionals present compelling visual proposals while maintaining accurate costing and project management. The software is particularly strong in the kitchen and bath industry, where precision measurements and material specifications are critical. Users range from independent designers to large retail chains and manufacturing companies seeking to improve their design presentation capabilities and sales processes.
3D Generative Adversarial Network (3D-GAN) is a pioneering research project and framework for generating three-dimensional objects using Generative Adversarial Networks. Developed primarily in academia, it represents a significant advancement in unsupervised learning for 3D data synthesis. The tool learns to create volumetric 3D models from 2D image datasets, enabling the generation of novel, realistic 3D shapes such as furniture, vehicles, and basic structures without explicit 3D supervision. It is used by researchers, computer vision scientists, and developers exploring 3D content creation, synthetic data generation for robotics and autonomous systems, and advancements in geometric deep learning. The project demonstrates how adversarial training can be applied to 3D convolutional networks, producing high-quality voxel-based outputs. It serves as a foundational reference implementation for subsequent work in 3D generative AI, often cited in papers exploring 3D shape completion, single-view reconstruction, and neural scene representation. While not a commercial product with a polished UI, it provides code and models for the research community to build upon.
