Archimedes is an open-source Python framework designed to simplify the development of complex engineering systems by providing tools for modeling, simulation, optimization, controls, and hardware deployment. The ultimate goal is to make it possible to do practical hardware engineering with Python. Archimedes builds on the powerful symbolic computation capabilities of CasADi with an interface designed to be familiar to NumPy users.
Introduction to the Archimedes project
Learn how to use Archimedes
Announcements, deep dives, and case studies
Quick Example¶
import numpy as np
import archimedes as arc
def f(x):
return np.sin(x**2)
# Use automatic differentiation to compute df/dx
df = arc.grad(f)
np.allclose(df(1.0), 2.0 * np.cos(1.0)) # True
# Automatically generate C code
template_args = (0.0,) # Data type for C function
arc.codegen(df, "grad_f.c", template_args, return_names=("z",))
Key features:
NumPy-compatible array API with automatic dispatch
Efficient execution of computational graphs in compiled C++
Automatic differentiation with forward- and reverse-mode sparse autodiff
Interface to “plugin” solvers for ODE/DAEs, root-finding, and nonlinear programming
Automated C code generation for embedded applications
JAX-style function transformations
PyTorch-style hierarchical data structures for parameters and dynamics modeling
Documentation¶
Resources
Core Concepts
Reference
Development