How to install stanford-wdl-kit via python pip

- Operating System :: MacOS
- Operating System :: MacOS :: MacOS X
- Operating System :: Microsoft
- Operating System :: Microsoft :: Windows
- Operating System :: POSIX
- Operating System :: POSIX :: Linux
- Programming Language :: Python :: Implementation
- Programming Language :: Python :: Implementation :: PyPy

When you know about this project and you want to new install stanford-wdl-kit to support your project or you get trouble as ModuleNotFoundError: No module named "stanford-wdl-kit" or ImportError: cannot import name "stanford-wdl-kit" in your project, let follow this tutorial to install stanford-wdl-kit

Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

In Windows (CMD):

py -m pip --version

In Unix/macOS:

python3 -m pip --version

Ensure pip, setuptools, and wheel are up to date:

In Windows (CMD):

py -m pip install --upgrade pip setuptools wheel

In Unix/macOS:

python3 -m pip install --upgrade pip setuptools wheel

py -m pip install --user virtualenv

py -m venv test_stanford-wdl-kit_env

test_stanford-wdl-kit_env\Scripts\active

pip3 install virtualenv

python3 -m venv test_stanford-wdl-kit_env

source test_stanford-wdl-kit_env/bin/active

Step 2: OK, now, let flow below content to start the installation stanford-wdl-kit

To install stanford-wdl-kit on Windows(CMD):

py -m pip install stanford-wdl-kit

To install stanford-wdl-kit on Unix/macOs:

pip install stanford-wdl-kit

Step 3: If you want to install a specific stanford-wdl-kit version, add ==<stanford-wdl-kit version> to the end command line

Example:

pip install stanford-wdl-kit==1.2.0

Please see the version list below table:

py -m pip install stanford-wdl-kit==1.2.1

pip install stanford-wdl-kit==1.2.1

py -m pip install stanford-wdl-kit==1.2.0

pip install stanford-wdl-kit==1.2.0

Step 4: Otherwise, you can install stanford-wdl-kit from local archives:

Download the distribution file from stanford-wdl-kit-1.2.1.tar.gz or the specific stanford-wdl-kit version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_stanford-wdl-kit_downloaded_file>

On Unix/macOs:

pip install <path_to_stanford-wdl-kit_downloaded_file>

List distribution:

Project link:

- Homepage