We collect stunning works from the world’s most innovative data artists. Each piece transforms raw information into visual experiences that inspire, inform, and amaze.
Our goal is to showcase as many talented data artists as possible, celebrating diverse voices and styles across the globe.
Explore their unique creations and get inspired by the endless ways data can be transformed into art.
Data art is a creative practice that transforms raw data into visually compelling artworks. By blending aesthetics with information, data artists use charts, patterns, and interactive visuals to reveal stories, emotions, and insights hidden within datasets.
Data art acts as a cursor between science and abstraction. Some works feel like scientific figures, with annotations and numbers that speak for themselves. Others drift into pure abstraction, only revealing their meaning with extra context.
While data art and generative art both involve digital creativity, they are not the same. Data art specifically uses real-world data as its source material, aiming to visualize information, patterns, or stories embedded in that data.
In contrast, generative art is created through algorithms and autonomous systems that generate visuals often without a direct connection to external data. Data art focuses on revealing meaning and insights from existing datasets, whereas generative art emphasizes process, randomness, and system-driven creativity.
Data to Art is constantly growing, adding new artists and projects to the gallery as soon as we discover them. Here is our latest addition, but you can see all the available projects here.
Data art is captivating on a screen, but its true magic comes alive in the real world—on a canvas you can see, touch, and feel.
We highlight data art exhibitions happening worldwide, and even curate some ourselves. For inquiries, feel free to get in touch.
We’re always looking to enrich our gallery with outstanding data art. If you are—or know—an artist whose work deserves to be featured, we’d love to hear from you.