Professional astronomers and astrophotographers have long been trapped in a world of memory-hungry, sluggish image processing tools that struggle with modern high-resolution datasets from observatories like JWST and ground-based surveys. Processing a single multi-filter observation could consume gigabytes of RAM and take minutes of waiting—time that adds up when you’re working with hundreds of frames or exploring different processing parameters.
AstroBurst shatters these limitations by leveraging Rust’s zero-cost abstractions and WebGPU’s parallel computing power to deliver near-native performance with a fraction of the memory footprint. The application seamlessly handles FITS files, performs GPU-accelerated screen transfer functions (STF), generates real-time histograms and FFT power spectra, and enables rapid RGB composition from multiple filters. What once took minutes now happens in milliseconds—like composing six JWST NIRCam filters in just 410ms, complete with interactive preview and adjustment.
Whether you’re a professional astronomer analyzing survey data, an advanced astrophotographer stacking deep-sky images, or a researcher working with space telescope observations, AstroBurst transforms the tedious bottleneck of image processing into a fluid, responsive experience. The cross-platform desktop application brings modern software engineering practices to astronomical workflows, proving that scientific tools don’t have to sacrifice performance for functionality.
⭐ Stars: 11
💻 Language: Rust
🔗 Repository: samuelkriegerbonini-dev/AstroBurst