enzyme ☆
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Description:
High-performance automatic differentiation of LLVM
Type: Formula  |  Latest Version: 0.0.231@0  |  Tracked Since: Dec 17, 2025
Links: Homepage  |  @EnzymeAD  |  formulae.brew.sh
Category: Developer tools
Tags: automatic-differentiation llvm compiler-plugin hpc scientific-computing machine-learning
Install: brew install enzyme
About:
Enzyme is a high-performance automatic differentiation (AD) plugin for LLVM that performs AD at the compiler level. It enables developers to automatically generate gradients for complex functions directly within compiled code, delivering significant performance gains over traditional runtime AD libraries. This makes it ideal for scientific computing, machine learning, and optimization tasks where speed is critical.
Key Features:
  • LLVM-based compiler plugin for seamless integration
  • High-performance differentiation with minimal runtime overhead
  • Supports multiple programming languages via LLVM (C, C++, Fortran, Julia)
  • Handles complex control flow and memory operations efficiently
Use Cases:
  • Accelerating gradient computations in scientific simulations
  • Integrating automatic differentiation into existing C++/Fortran HPC codes
  • Building high-performance machine learning frameworks
  • Optimizing derivative-based numerical methods
Alternatives:
  • AD (Automatic Differentiation) – Enzyme operates at the LLVM IR level for better performance, while AD is a source-to-source tool
  • Stan Math Library – Stan is a C++ library focused on Bayesian statistics, whereas Enzyme is a general-purpose compiler plugin
Version History
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Dec 25, 2025 11:01am 0.0.231 0 VERSION_BUMP c491a7d0
Dec 24, 2025 7:57am 0.0.230 0 VERSION_BUMP ba5faa52
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