Probabilistic programming with vectorized programmable inference
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Updated
Mar 3, 2026 - Python
Probabilistic programming with vectorized programmable inference
Source-to-source autodiff for APL
Memory-safe clean-room Rust reimplementation of NumPy with strict/hardened compatibility modes, deterministic stride calculus, differential conformance harnesses, and RaptorQ durability artifacts.
Python scripts to transpile Python, R, Octave, or C to modern Fortran, mark Fortran procedures as pure or elemental, add argument intents, transform loops to array operations, and make other changes
a library for running uiua in python
Translate Python/NumPy and eventually other array languages to Fortran
Vectorized Cartesian Genetic Programming library
Jupyter kernel for the Goal array programming language
Python utilities for JAX and Warp with filtered jit, pytree helpers, and array-to-Warp conversion.
GPU & distributed support for SciPy, scikit-learn, scikit-image, and beyond
🛠 Reimplement NumPy in Rust for full compatibility, memory safety, and better performance with a clear, reliable architecture.
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