Stingray transforms the chaotic dance of X-ray photons from black holes, neutron stars, and pulsars into crystal-clear timing analysis - making advanced spectral timing techniques accessible to every astronomer.

In the violent neighborhoods around black holes and neutron stars, X-ray photons carry the signatures of matter spiraling into oblivion, magnetic fields strong enough to distort atoms, and gravitational wells so deep they bend spacetime itself. But extracting the physics from these cosmic lighthouses requires sophisticated timing analysis - correlating brightness variations across different energy bands to decode the underlying astrophysical processes. Until now, most astronomers have relied on custom, often fragmented software solutions scattered across the community.

Stingray changes this landscape by providing a unified Python toolkit for X-ray spectral timing analysis. The library handles everything from basic power spectra and cross-correlation functions to advanced techniques like covariance spectra and reverberation mapping. It seamlessly ingests FITS data from major X-ray missions, offers robust statistical frameworks for uncertainty quantification, and even includes sophisticated simulators for modeling complex variability patterns. Whether you’re tracking the heartbeat of an accreting black hole or measuring the spin of a millisecond pulsar, Stingray provides the computational backbone with clean, well-documented APIs that follow modern astronomical software standards.

With 212 stars and growing community adoption, Stingray is becoming the de facto standard for X-ray timing analysis. Researchers studying everything from X-ray binaries to active galactic nuclei are leveraging its capabilities to push the boundaries of high-energy astrophysics, while its educational value is lowering the barrier for new astronomers to master these powerful techniques.

⭐ Stars: 212
💻 Language: Python
🔗 Repository: StingraySoftware/stingray