PyScaffold was started by Blue Yonder developers to help automating and standardizing the process of project setups. Nowadays it is a pure community project and you are very welcome to join in our effort if you would like to contribute.

Issue Reports

If you experience bugs or in general issues with PyScaffold, please file an issue report on our issue tracker.

Code Contributions

Submit an issue

Before you work on any non-trivial code contribution it’s best to first create an issue report to start a discussion on the subject. This often provides additional considerations and avoids unnecessary work.

Create an environment

Before you start coding we recommend to install Miniconda which allows to setup a dedicated development environment named pyscaffold with:

conda create -n pyscaffold python=3 six virtualenv pytest pytest-cov

Then activate the environment pyscaffold with:

source activate pyscaffold

Clone the repository

  1. Create a Gitub account if you do not already have one.

  2. Fork the project repository: click on the Fork button near the top of the page. This creates a copy of the code under your account on the GitHub server.

  3. Clone this copy to your local disk:

    git clone
    cd pyscaffold
  4. You should run:

    pip install -U pip setuptools
    pip install -e .

    to be able run putup.

  1. Install pre-commit:

    pip install pre-commit
    pre-commit install

    PyScaffold project comes with a lot of hooks configured to automatically help the developer to check the code being written.

  2. Create a branch to hold your changes:

    git checkout -b my-feature

    and start making changes. Never work on the master branch!

  3. Start your work on this branch. When you’re done editing, do:

    git add modified_files
    git commit

    to record your changes in Git, then push them to GitHub with:

    git push -u origin my-feature
  4. Please check that your changes don’t break any unit tests with:


    (after having installed tox with pip install tox or pipx). Don’t forget to also add unit tests in case your contribution adds an additional feature and is not just a bugfix.

    To speed up running the tests, you can try to run them in parallel, using pytest-xdist. This plugin is already added to the test dependencies, so everything you need to do is adding -n auto or -n <NUMBER OF PROCESS> in the CLI. For example:

    tox -- -n 15

    Please have in mind that PyScaffold test suite is IO intensive, so using a number of processes slightly bigger than the available number of CPUs is a good idea. For quicker feedback you can also try:

    tox -e fast
  5. Use flake8/black to checkfix your code style.

  6. Add yourself to the list of contributors in AUTHORS.rst.

  7. Go to the web page of your PyScaffold fork, and click “Create pull request” to send your changes to the maintainers for review. Find more detailed information creating a PR. You might also want to open the PR as a draft first and mark it as ready for review after the feedbacks from the continuous integration (CI) system or any required fixes.

  8. If you are submitting a change related to an existing CI system template (e.g. travis, cirrus, or even tox and pre-commit), please consider first submitting a companion PR to PyScaffold’s ci-tester, with the equivalent files changes, so we are sure it works.

    If you are proposing a new CI system template, please send us a link of a simple repository generated with your templates (a simple putup --<YOUR EXTENSION> ci-tester will do) and the CI logs for that repository.

    This helps us a lot to control breaking changes that might appear in the future.


New PyScaffold releases should be automatically uploaded to PyPI by one of our GitHub actions every time a new tag is pushed to the repository. Therefore, as a PyScaffold maintainer, the following steps are all you need to release a new version:

  1. Make sure all unit tests on Cirrus-CI are green.

  2. Tag the current commit on the master branch with a release tag, e.g. v1.2.3.

  3. Push the new tag to the upstream repository, e.g. git push upstream v1.2.3

  4. After a few minutes check if the new version was uploaded to PyPI

If, for some reason, you need to manually create a new distribution file and upload to PyPI, the following extra steps can be used:

  1. Clean up the dist and build folders with tox -e clean (or rm -rf dist build) to avoid confusion with old builds and Sphinx docs.

  2. Run tox -e build and check that the files in dist have the correct version (no .dirty or Git hash) according to the Git tag. Also sizes of the distributions should be less than 500KB, otherwise unwanted clutter may have been included.

  3. Run tox -e publish -- --repository pypi and check that everything was uploaded to PyPI correctly.

After successful releases (specially of new major versions), it is a good practice to re-generate our example repository. To manually do that, please visit our GitHub actions page and run the Make Demo Repo workflow (please check if it was not automatically triggered already).


I’ve got a strange error related to versions in when executing the test suite or about an entry_point that cannot be found.

Make sure to fetch all the tags from the upstream repository, the command git describe --abbrev=0 --tags should return the version you are expecting. If you are trying to run the CI scripts in a fork repository, make sure to push all the tags. You can also try to remove all the egg files or the complete egg folder, i.e. .eggs, as well as the *.egg-info folders in the src folder or potentially in the root of your project. Afterwards run python egg_info --egg-base . again.

I’ve got a strange syntax error when running the test suite. It looks like the tests are trying to run with Python 2.7 …

Try to create a dedicated venv using Python 3.6+ (or the most recent version supported by PyScaffold) and use a tox binary freshly installed in this venv. For example:

python3 -m venv .venv
source .venv/bin/activate
.venv/bin/pip install tox
.venv/bin/tox -e all

I am trying to debug the automatic test suite, but it is very hard to understand what is happening.

Pytest can drop you in a interactive session in the case an error occurs. In order to do that you need to pass a --pdb option (for example by running tox -- -k NAME_OF_THE_FALLING_TEST --pdb). While pdb does not have the best user interface in the world, if you feel courageous, it is possible to use an alternate implementation like ptpdb and bpdb (please notice some of them might require additional options, such as --pdbcls ptpdb:PtPdb/--pdbcls bpdb:BPdb). You will need to temporarily add the respective package as a dependency in your tox.ini file. You can also setup breakpoints manually instead of using the --pdb option.