Modulenotfounderror: no module named ‘skbuild’ ( Best Solution )

Modulenotfounderror: no module named ‘skbuild‘ occurs mainly because if the scikit-build package is not installed or incompatible with the current python version. The best way to fix this error is to reinstall the scikit-build package and upgrade the package manager. There are multiple ways to install scikit-build , In this article, We will explore all the easiest ways to install scikit-build. So let’s begin.

Modulenotfounderror: no module named ‘skbuild’ ( Tricks ) –

The easiest way to installation scikit-build is using a pip package. Apart from we can use conda manager, source etc to achieve the same. Let’s start the journey.

Solution 1: scikit-build installation with pip –

pip install scikit-build

Here are a few more important things that we need to take care of while installing scikit-build.

1. If you are using python3 then there is a slight change in the above command.

pip3 install scikit-build

2. If you need explicit admin access to run any command then add sudo keyword into the above command. It runs the commands with admin rights but it is specific to Linux Family Operating Systems. For the Windows Operating system we need to launch the command prompt in admin mode and run the above command directly, It will run.

3. Make sure that your pip is properly configured before you run the command. I mean the path for pip must be set in the environment variable. If that is not the case then use the below command for installation.

python -m pip install scikit-build/code>

4. One more important thing is that all the above commands will install the latest version of scikit-build but you can choose versions on the basis of compatibility. Just for the reference, Please follow the below code. For version detail you can check release history.

pip install scikit-build==0.14.1

Solution 2: scikit-build installation with conda –

With conda in a single line we can install scikit-build package. You can open the Anaconda prompt and type the below command. But if have created any virtual environment with conda then first activate it and then run the below command.

conda install -c conda-forge scikit-build

Solution 3: scikit-build installation with setup file-

It’s the basic way where we build the installable file from the source. We need to download the source code for scikit-build and then run

python setup.py install

Thanks

Data Science Learner Team