How to Install joblib in Python
Lightweight pipelining with Python functions
pip install joblib
What is joblib?
Lightweight pipelining with Python functions
The homepage of joblib with user documentation is located on:
To get the latest code using git, simply type::
If you don't have git installed, you can download a zip of the latest code:
Quick Start
Minimal example to get started with joblib:
import joblib
print(joblib.__version__)
Installation
pip (standard)
pip install joblib
Virtual environment (recommended)
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install joblib
pip3
pip3 install joblib
conda
conda install -c conda-forge joblib
Poetry
poetry add joblib
Verify the Installation
After installing, confirm the package is available:
python -c "import joblib; print(joblib.__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 joblib with pip.
ModuleNotFoundError: No module named 'joblib'
Cause: The package is not installed in the current Python environment.
Fix: Run pip install joblib. If using a virtual environment, ensure it is activated first.
ModuleNotFoundError: No module named 'joblib' (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 joblib to install into the interpreter you are running.
ImportError: cannot import name 'X' from 'joblib'
Cause: The function or class does not exist in the installed version.
Fix: Check the version with pip show joblib and upgrade with pip install --upgrade joblib.
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 joblib. 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 joblib
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 joblib
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 |
|---|---|
1.5.3 latest |
2025-12-15 |
1.5.2 |
2025-08-27 |
1.5.1 |
2025-05-23 |
1.5.0 |
2025-05-03 |
1.4.2 |
2024-05-02 |
Manage joblib
Upgrade to latest version
pip install --upgrade joblib
Install a specific version
pip install joblib==1.5.3
Uninstall
pip uninstall joblib
Check what is installed
pip show joblib