Matrix-free operators
Represent operators by forward and adjoint matrix-vector products instead of explicit matrices.
Key features
Large-scale ready
Designed for problems where explicit matrices are prohibitive in memory and compute footprint.
State-of-the-art solvers
Includes iterative methods for least-squares and proximal optimization.
Extensible base operators
Provides LinearOperator and
ProxOperator base classes inspired
by SciPy and easy to extend.
Backend-agnostic design
Uses an idiomatic approach to provide support for multiple computational backends (NumPy / CuPy / JAX).
Open-source driven
Community-driven and affiliated with NumFOCUS, with strong focus on transparent development.
Domains
Maturity snapshot across key application areas.
Signal processing
Image processing
Medical imaging
Geophysics
Want to grow PyLops' competency in one of these domains, or add support for your own domain? Start a discussion here.
Explore our projects
Official links and project stats.
