Installation

Vectrix ships with a built-in Rust engine — like Polars, the Rust extension is compiled into the wheel. No compiler, no extras, just pip install and it’s fast.

Requirements

• Python 3.10 or higher (3.11+ recommended for best performance)
• OS: Windows, macOS, Linux — all platforms supported including Apple Silicon

Install

Choose your preferred package manager

pip (most common)

pip install vectrix

uv (fastest)

uv add vectrix

conda / mamba (from PyPI)

pip install vectrix

This installs Vectrix with its 3 core dependencies (NumPy, pandas, SciPy) and the Rust engine. No C compiler, no CUDA, no heavy frameworks.

Optional Extras

Vectrix follows a modular design — install only what you need

pip install vectrix                  # All 30+ models + built-in Rust engine
pip install "vectrix[ml]"            # + LightGBM, XGBoost, scikit-learn
pip install "vectrix[foundation]"    # + Amazon Chronos-2, Google TimesFM 2.5
pip install "vectrix[all]"           # Everything

Built-in Rust Engine

29 core forecasting hot loops are Rust-accelerated and compiled into every wheel. Pre-built binary wheels are available for all major platforms

• Linux x86_64 (manylinux)
• macOS Apple Silicon (ARM64) + x86_64
• Windows x86_64
• Python 3.10, 3.11, 3.12, 3.13

No Rust compiler is needed. The acceleration is completely transparent — your code doesn’t change, it just runs faster. Vectrix auto-detects the Rust engine at import time.

Verify Installation

After installing, confirm everything works

import vectrix
from vectrix import forecast

result = forecast([100, 120, 130, 115, 140], steps=3)
print(result.predictions)

Check that the Rust engine loaded

import vectrix
print(vectrix.TURBO_AVAILABLE)  # True if Rust engine is active

Core Dependencies

Vectrix is designed to be lightweight. Only 3 packages are required — all widely used, well-maintained scientific Python libraries