Client Installation Guide#
Hopsworks (including Feature Store and MLOps)#
The Hopsworks client library is required to connect to the Hopsworks Feature Store and MLOps services from your local machine or any other Python environment such as Google Colab or AWS Sagemaker. Execute the following command to install the full Hopsworks client library in your Python environment:
Virtual environment
It is recommended to use a virtual python environment instead of the system environment used by your operating system, in order to avoid any side effects regarding interfering dependencies.
pip install hopsworks
OSX Installation
On OSX systems you need to install librdkafka manually before installing hopsworks. You can verify if you have installed it previously using brew info librdkafka. If it is not installed yet, you can do so using brew install, however, you always need to set the C_INCLUDE_PATH and LIBRARY_PATH.
If not installed yet, install librdkafka:
brew install librdkafka
C_INCLUDE_PATH=$(brew --prefix)/include
LIBRARY_PATH=$(brew --prefix)/lib
pip install hopsworks
Windows/Conda Installation
On Windows systems you might need to install twofish manually before installing hopsworks, if you don't have the Microsoft Visual C++ Build Tools installed. In that case, it is recommended to use a conda environment and run the following commands:
conda install twofish
setx CONDA_DLL_SEARCH_MODIFICATION_ENABLE 1
pip install hopsworks
Feature Store only#
To only install the Hopsworks Feature Store client library, execute the following command:
pip install hsfs[python]
OSX Installation
On OSX systems you need to install librdkafka manually before installing hopsworks. You can verify if you have installed it previously using brew info librdkafka. If it is not installed yet, you can do so using brew install, however, you always need to set the C_INCLUDE_PATH and LIBRARY_PATH.
If not installed yet, install librdkafka:
brew install librdkafka
C_INCLUDE_PATH=$(brew --prefix)/include
LIBRARY_PATH=$(brew --prefix)/lib
pip install hsfs[python]
Windows/Conda Installation
On Windows systems you might need to install twofish manually before installing hsfs, if you don't have the Microsoft Visual C++ Build Tools installed. In that case, it is recommended to use a conda environment and run the following commands:
conda install twofish
setx CONDA_DLL_SEARCH_MODIFICATION_ENABLE 1
pip install hsfs[python]
Next Steps#
If you are using a local python environment and want to connect to the Hopsworks Feature Store, you can follow the Python Guide section to create an API Key and to get started.
Other environments#
The Hopsworks Feature Store client libraries can also be installed in external environments, such as Databricks, AWS Sagemaker, or Azure Machine Learning. For more information, see Client Integrations.