See it
Constellations and 3D space
Start with Orion and see how a familiar sky pattern changes when each star is placed at its estimated distance.
Open the fly-throughSee it. Question it. Build with it.
Found in Space starts with open astronomical measurements and turns them into interactive 3D experiences. Explore the view, see how it was made, ask what the evidence can and cannot show, and use the same data and code to build something of your own.
Explore the stars
For anyone who wants to see the sky differently. Begin with familiar constellations, then move through 3D star positions estimated from catalogue measurements and watch the flat night sky open into depth.
Browse the visual journeysTeach through inquiry
For teachers, lecturers and workshop leaders. Use guided visualisations, classroom prompts and open-ended investigations to ask what the measurements show, what remains uncertain, and how the representation shapes what we notice.
Open the teacher hubLearn & build
For students, pupils, curious coders and independent learners. Learn the astronomy and data concepts, inspect the pipeline, or use the open data and code to build your own visualisation, investigation or game.
Find a starting pointWhat is Found in Space?
Found in Space begins with measurements from Gaia, Hipparcos and other catalogues. It lets people explore the resulting view while keeping visible how those measurements were selected, estimated and turned into a 3D world.
A scientific picture might be built from observations, derived measurements, models, simulations or illustration. They can all be useful, but they are not the same. The aim is to make those layers clear and explorable, so people can ask what each one can—and cannot—tell us.
See it
Start with Orion and see how a familiar sky pattern changes when each star is placed at its estimated distance.
Open the fly-throughQuestion it
Plot temperature against luminosity, then ask what the structure tells you and what the sample might be hiding.
Open the lessonBuild with it
Begin with a small bright-star data guide before deciding whether to run the full pipeline yourself.
Open the guide