This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the RadarUnderstand more
Published: Oct 28, 2020
Oct 2020

In the past we've talked about the improving tooling for applying good engineering practices in data science projects. Kedro is another good addition in this space. It's a development workflow framework for data science projects that brings a standardized approach to building production-ready data and machine-learning pipelines. We like the focus on software engineering practices and good design with its emphasis on test-driven development, modularity, versioning and good hygiene practices such as keeping credentials out of the codebase.