How to Install `hyperopt` in Python

v0.2.7 Data & Science BSD

Distributed Asynchronous Hyperparameter Optimization

Install pip install hyperopt

What is hyperopt?

Distributed Asynchronous Hyperparameter Optimization

Documentation → PyPI page → Author: James Bergstra

Quick Start

Minimal example to get started with hyperopt:

import hyperopt

print(hyperopt.__version__)

Installation

pip (standard)

pip install hyperopt

Virtual environment (recommended)

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

pip3

pip3 install hyperopt

conda

conda install -c conda-forge hyperopt

Poetry

poetry add hyperopt

Dependencies

Installing hyperopt will also install these packages:

numpy scipy six networkx future tqdm cloudpickle py4j

Verify the Installation

After installing, confirm the package is available:

python -c "import hyperopt; print(hyperopt.__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 hyperopt with pip.

ModuleNotFoundError: No module named 'hyperopt'

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

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

ModuleNotFoundError: No module named 'hyperopt' (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 hyperopt to install into the interpreter you are running.

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

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

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

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 hyperopt. 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 hyperopt

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 hyperopt

MemoryError when loading data

Cause: Dataset is too large to fit in RAM.

Fix: Read in chunks, filter columns on load, or consider Polars/Dask for out-of-core processing.

Recent Releases

Version	Released
`0.2.7` latest	2021-11-17
`0.2.6`	2021-11-15
`0.2.5`	2020-10-07
`0.2.4`	2020-04-24
`0.2.3`	2020-01-12

Full release history on PyPI →

Manage hyperopt

Upgrade to latest version

pip install --upgrade hyperopt

Install a specific version

pip install hyperopt==0.2.7

Uninstall

pip uninstall hyperopt

Check what is installed

pip show hyperopt

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

How to Install hyperopt in Python