Neon Player, originally built on top of Pupil Player from the Pupil Core ecosystem, has been a critical part of our software portfolio for over a decade. Its codebase carried years of innovations, experiments, and extensions from users around the world. But with that history came complexity: maintaining and extending the system had become increasingly challenging.
The new Neon Player changes that.
This beta release is a complete redesign, re-architected, and rewritten codebase. It preserves the features you know from Neon Player and introduces a much simpler, more maintainable implementation, paving the way for faster development, easier contributions, and more room for experimentation.
The new Neon Player remains fully open-source, retaining a flexible plugin architecture that has enabled so many users to extend and customize the software. We’ve seen countless creative adaptations over the years, far beyond what we could have envisioned, and we want to continue supporting that spirit of exploration and hackability!
This is a beta release, so we invite everyone to download the software, try it out, and share feedback. Your input is essential as we refine and finalize the new version. The current production version of Neon Player will remain fully available for all users who rely on it today, but will no longer see any active development.
We welcome general feedback and discussion on Discord, and we kindly ask that bug reports be submitted as GitHub issues so we can track and address them efficiently.
Try the Neon Player Beta and help us shape its future.
New Research Digest 👀 Taking Flight: Decoding Pilot Cognition in the Real World 🛩️
In this latest Digest, we explore a study from the University of Waterloo that moved the lab into the cockpit. By integrating Neon eye tracking with physiological sensors and flight telemetry, the team captured a dataset comprising gaze, physiological signals, and flight parameters across a range of manoeuvres in real operational conditions!
Read the full digest here: https://pupil-labs.com/blog/taking-flight-decoding-pilot-cognition-in-the-real-world
New Research Digest 📣 How to Measure and Map Urban Cycling Stress for Safer Streets 🚴🏙️
Crash statistics and surveys provide insight after something goes wrong, but they do not capture how stress, uncertainty, and risk build up as people cycle through city streets.
In our latest Research Digest, we highlight research from Interdisciplinary Transformation University and the University of Salzburg that uses Neon together with physiological sensors to uncover these blind spots.
Explore the full digest on our blog: https://pupil-labs.com/blog/how-to-measure-and-map-urban-cycling-stress-for-safer-streets 🙂