High-Performance Chip Design in Python.
A modern framework for seamless KLayout integration, hierarchical cell caching, and intuitive layout synthesis.
🚀 Key Features
- Smart Layer API: Pythonic boolean operations (
+,-,&,|,^), sizing, and advanced interaction filters (interacting,inside,outside,overlapping). - Hierarchical Caching: Seamless memory and disk caching with Transitive Source Hashing that detects changes in your code, its dependencies, and external library versions.
- Parallel Generation: Leverage multi-core CPUs with asynchronous cell generation for massive design speedups.
- Hierarchical Netlist Extraction: Recover netlists from physical layouts via spatial collision detection and recursive property extraction.
- Connectivity & Routing: Snap-based hierarchical connectivity and automated component chaining for error-free assembly.
- Performance Insights: Detailed design statistics tracking cache hits, build times, and call counts for optimization.
- Jupyter & KLayout Native: Interactive GDSII rendering in notebooks and live synchronization with KLayout via KLive.
📦 Installation
pip install gdswell
📖 Documentation
For more information and examples, visit the Documentation Site.
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