- Latest (22.3)
- Dev Build
Installing Supported Packages
Create a Virtual Environment #
The best way of using GraalVM’s Python runtime is from a virtual environment. This generates wrapper scripts and makes the implementation usable from shell as the standard Python interpreter. To create the virtual environment with GraalVM:
graalpython -m venv <venv-dir>
To activate the environment in your shell session call:
At the moment, there are not enough standard libraries implemented to run the standard package installers for many packages. As a convenience, a simple module to install packages is provided (including potential patches required for those packages). Try the following to find out more:
graalpython -m ginstall --help
As a slightly more exciting example, try:
graalpython -m ginstall install numpy
If all goes well (also consider native dependencies of NumPy), you should be able to
import numpy afterwards.
The support for more extensions is a high priority. The GraalVM team is actively working to enable support for the Python C API, as well as to make extensions such as NumPy, SciPy, Scikit-learn, Pandas, Tensorflow, and alike, work. Other extensions might currently work, but they are not actively tested. Note that to try extensions on GraalVM’s Python runtime, you have to download, build, and install them manually for now.
pip package installer is available and working when using a