Best practices — 5 min read

Seven development principles for opinionated teams

In this blog post, we introduce a set of principles that summarise our development philosophy and steer our decision-making.

26 Apr 2023 (last updated 10 May 2023)
small square exploding sugarcubes

In the Kedro team, we are often passionate, opinionated, and vocal about doing things "the right way". We are also aware that sometimes perfect is the enemy of good and that, once a team matures to include more than a handful of people, it's necessary to define a process for efficient decision-making.

We agreed the following principles in 2021, two years after we first open-sourced Kedro. We discussed them at length; they now guide us regularly as we steer through the next phase of growth as an incubating project within the Linux Foundation (LF AI & Data).

Find out more about Kedro

There are many ways to learn more about Kedro:

1. Modularity at the core ️📦

Modularity allows for easy construction, flexible arrangements and reusability of components, resulting in an extensible and customisable system. Kedro is built around the idea of enabling modular data engineering and data science code. To make this possible, we take this as our core tenet and make sure Kedro’s own components are modular and independent of each other as much as possible. Each component has clearly defined responsibilities and narrow interfaces. We aim to make most of our components highly decoupled from each other and ensure they can be used on their own.

2. Grow beginners into experts 🌱

Every user is on a learning journey and Kedro aims to be the perfect vehicle for such an adventure. We want Kedro to be loved by users across all different levels of experience. Kedro should be your companion as a beginner, taking your first steps into building data products, or as an expert user, well-seasoned in taking machine-learning models into production.

3. User empathy without unfounded assumptions 🤝

Kedro is designed with the user in mind but makes no guesses about what the user has in mind. We strive to understand our users without claiming we are one with them. Our users trust us with their time to learn our API and we should make sure we spend their time wisely. All our assumptions should be grounded on extensive experience and hard data.

4. Simplicity means bare necessities 🍞

We believe that simplicity is “attained not when there is no longer anything to add, but when there is no longer anything to take away”, very much like Antoine de Saint-Exupéry’s definition of perfection. Simplicity is hard to achieve, but once achieved it is easy to understand and rely on. In our pursuit of simplicity at Kedro we start by defining it as something composed of small number of parts, with small number of features or functional branches and having very little optionality. Simple things are easy, robust, reliable, and loved by everyone. They can be used in countless ways on their own or effortlessly become a part of a more complex system since they are modular by nature.

5. There should be one obvious way of doing things 🎯

Inspired by The Zen of Python, we recommend certain ways of accomplishing tasks. We do this because it allows users to focus on their original problem rather than deal with accidental complexity. That doesn’t mean that it will be impossible to do things using a different way; but, as one becomes more accustomed to Kedro, it will become apparent that there is a preferred way of doing things. Kedro is an opinionated framework, and this is built into its design.

6. A sprinkle of magic is better than a spoonful of it ✨

The declarative nature of Kedro introduces some magic by hiding the imperative implementation details. However, we recognise that this departure from Python’s preference for explicit solutions can be taken too far and quickly spiral into “dark magic”. Dark magic introduces confusion for the users and can make it easy for them to get lost in their own project. That’s why we have a strong preference for common sense over dark magic and making things obvious rather than clever. Nevertheless, magic is sometimes justified if it simplifies how things work. We promise to use it sparingly and only for good.

7. Lean process and lean product 👟

Kedro started as a small framework which tackles big problems in the delivery of data science projects from inception to production. We fully subscribe to the principles of lean software development and do our best to eliminate waste as much as possible. We favour small incremental changes over big bang deliveries of functionality and in general we strive to achieve more with less.

Find out more about Kedro

There are many ways to learn more about Kedro:


On this page:

Photo of Jo Stichbury
Jo Stichbury
Technical Writer, QuantumBlack
Share post:
Mastodon logoLinkedIn logo

All blog posts

cover image alt

Kedro newsletter — 5 min read

In the pipeline: February 2024

From the latest news to upcoming events and interesting topics, “In the Pipeline” is overflowing with updates for the Kedro community.

Jo Stichbury

7 Feb 2024

cover image alt

Ibis — 10 min read

Building scalable data pipelines with Kedro and Ibis

From production-ready to production. Bring the flexibility and familiarity of Python, and the scale and performance of modern SQL, to Kedro pipelines.

Deepyaman Datta

29 Jan 2024

cover image alt

Kedro news — 10 min read

Your new Kedro project. Your way.

We've made changes to Kedro in the new 0.19 release to tackle one of the most commonly perceived pain points. Find out more!

Jo Stichbury

24 Jan 2024

cover image alt

Kedro news — 4 min read

Learn Kedro from a new video course

Check out the official video course to teach you the skills you need to create data and machine learning pipelines for future-friendly, platform-agnostic data science code

cover image alt

Kedro news — 5 min read

Exploring our new release: Kedro 0.19

This blog post gives details of the enhancements and improvements to Kedro in the recent 0.19 release.