Installation

How to install Optyx

1 For Users

Install Optyx from PyPI:

pip install optyx

Or using uv (recommended for faster installs):

uv pip install optyx

2 Requirements

• Python ≥ 3.10
• NumPy ≥ 1.22
• SciPy ≥ 1.8

All dependencies are installed automatically.

NoteLinear and Mixed-Integer Solvers

Optyx uses SciPy’s HiGHS interfaces: scipy.optimize.linprog() for continuous linear programs and scipy.optimize.milp() for linear models containing integer or binary variables. Unsupported SciPy versions are rejected by the package requirements; Optyx does not fall back to legacy simplex implementations.

3 Development Setup

For contributing or development:

# Clone the repository
git clone https://github.com/optyx-dev/optyx.git
cd optyx

# Install with uv (recommended)
uv sync

# Or with pip in editable mode
pip install -e .

4 Verify Installation

Test that Optyx is installed correctly:

from optyx import Variable, Problem

x = Variable("x", lb=0)
solution = Problem().minimize(x**2).subject_to(x >= 1).solve()
print(f"Optyx is working! x* = {solution['x']:.4f}")

Optyx is working! x* = 1.0000

5 Next Steps

• Quickstart — Solve your first optimization problem
• Core Concepts — Understand the building blocks