How to Install `numba` in Python

v0.65.0 General Purpose Python >=3.10 BSD

compiling Python code using LLVM

Install pip install numba

What is numba?

compiling Python code using LLVM

A Just-In-Time Compiler for Numerical Functions in Python

Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax.

Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.

Documentation → PyPI page →

Quick Start

Minimal example to get started with numba:

import numba

print(numba.__version__)

Installation

pip (standard)

pip install numba

Virtual environment (recommended)

python -m venv venv
source venv/bin/activate   # Windows: venv\Scripts\activate
pip install numba

pip3

pip3 install numba

conda

conda install -c conda-forge numba

Poetry

poetry add numba

Dependencies

Installing numba will also install these packages:

llvmlite numpy numpy

Verify the Installation

After installing, confirm the package is available:

python -c "import numba; print(numba.__version__)"

If this prints a version number, installation succeeded. If you see a ModuleNotFoundError, see the errors section below.

Installation Errors

Common errors when installing numba with pip.

ModuleNotFoundError: No module named 'numba'

Cause: The package is not installed in the current Python environment.

Fix: Run pip install numba. If using a virtual environment, ensure it is activated first.

ModuleNotFoundError: No module named 'numba' (installed but still failing)

Cause: pip installed the package into a different Python than the one running your script.

Fix: Use python -m pip install numba to install into the interpreter you are running.

ImportError: cannot import name 'X' from 'numba'

Cause: The function or class does not exist in the installed version.

Fix: Check the version with pip show numba and upgrade with pip install --upgrade numba.

pip: command not found

Cause: pip is not in PATH or Python was not added to PATH during installation.

Fix: Try python -m pip install numba. On macOS/Linux try pip3.

PermissionError: [Errno 13] Permission denied

Cause: No write access to the system Python package directory.

Fix: Use a virtual environment, or add --user: pip install --user numba

SSL: CERTIFICATE_VERIFY_FAILED

Cause: pip cannot verify PyPI's SSL certificate — common behind corporate proxies.

Fix: Try: pip install --trusted-host pypi.org --trusted-host files.pythonhosted.org numba

Recent Releases

Version	Released
`0.65.0` latest	2026-04-01
`0.65.0rc1`	2026-03-14
`0.64.0`	2026-02-18
`0.64.0rc1`	2026-02-04
`0.63.1`	2025-12-10

Full release history on PyPI →

Manage numba

Upgrade to latest version

pip install --upgrade numba

Install a specific version

pip install numba==0.65.0

Uninstall

pip uninstall numba

Check what is installed

pip show numba

Last updated: 2026-04-11 • Data from PyPI

How to Install numba in Python