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.
For Humans and Agents
Built for people and AI agents alike, with an MCP server, user and developer skills, and a benchmarks suite.
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.
What we are up to
Open pull requests across our main repositories, ranked by latest activity.
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Explore our libraries
Official links and project stats.
Our side projects
Tools for benchmarking, and for humans and agents working with PyLops.
pylops-asv
Performance benchmarking of PyLops operators over time with airspeed velocity (ASV).
pylops-benchmarks
Quality benchmarking of PyLops operators and solvers across use-cases.
pylops-mcp
An MCP server that gives AI agents access to PyLops operators, solvers and docs.
pylops-agent-skills
User skills that teach AI agents how to work with PyLops like a pro.