Kedro Static Viz 0.3.0 is out with Hooks Support ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ kedro-static-viz is out with support for the newly released hooks feature. This means that you can have automatically deploy a full gatsby site keeping your... Date: May 28, 2020 kedro-static-viz is out with support for the newly released hooks feature. This means that you can have kedro-static-viz automatically deploy a full gatsby site before_pipeline_run keeping your visualization always up to date. Even though it is a static site there is no functionality lost. The only thing that’s missing is the flask server. With kedro-static-viz you can deploy your visualization to a number of static hosting providers such as GitHub pages free of charge with wicked fast performance ⚡ It’s Fast ─────────── Even though it’s built on gatsbyjs the full site builds in under 2s even on slower hardware. This is because the site is already pre-rendered and stripped of any excess. It’s zipped up right into the python package and is typically used with the cli, but now can be used with python, or as a hook as well. │ ### What is kedro-viz 🤔 Kedro viz is a fantastic kedro plugin that allows you to visualize your data pipeline. Kedro allows you to quickly build production-ready pipelines where you just configure a catalog, then toss python functions into a big pile. Kedro figures out the order everything needs ran in for you, allows you to run a datasets dependencies or dependents only. kedro-viz gives you a great way to see this ordering visually. Image: a visualization of a kedro data pipeline featuring data and functions flowing together. │ kedro visualization from the projects readme Check out a live running example ──────────────────────────────── Using the power of GitHub actions the I have built a kedro iris pipeline visualization that can be found on https://static-viz.kedro.dev/ Itching to get started with kedro ───────────────────────────────── You can be up and running in a matter of minutes if you already have python running on your machine. Make a virtual environment with your environment manager of choice. ``` conda create -n kedro-practice python=3.8 -y conda activate kedro-practice ``` Install kedro. Then create a new project with their awesome cli template built on cookiecutter. Make sure to answer y to get a prebuilt example pipeline with data. ``` pip install kedro kedro-static-viz kedro new ``` Vizualize your pipeline with the cli 〽 ────────────────────────────────────── For local use when you already have the full project kedro viz is a great tool to use, but this is an article about kedro-static-viz. ``` kedro-static-viz static-viz ``` Since we used kedro-static-viz you will have a new directory called public that you can host on any static web hosting service, like GitHub pages or Netlify. Ready to try out the new hooks feature 🙋‍♀️ ─────────────────────────────────────────── Open up your /src/run.py and add the hook to your ProjectContext class. Next time you run your pipeline you will have an updated pipeline. ``` from kedro_static_viz.hooks import StaticViz class ProjectContext(KedroContext): project_name = "kedro0160" project_version = "0.16.1" package_name = "kedro0160" hooks = [ StaticViz() ] ``` Now Run that pipeline 🏃‍♀️ ────────────────────────── Run your pipeline and enjoy that fresh kedro viz each and every time you run your pipeline. ``` kedro run ``` Want to make your own hooks 🎣 ───────────────────────────── Check out some of my other articles on building kedro hooks. Image: creating customizable kedro hooks Image: creating the kedro preflight hook Check out the example 👉 https://static-viz.kedro.dev/