<!here> Join the Kedro Coffee Chat live stream in 3 minutes! @Dmitry Sorokin will be talking about End-to-End Machine Learning with Kedro and open source

Hi @channel, we are excited to announce 📣 kedro-plugins release ! K kedro-datasets-6.0.0 🚀 Major features and improvements - Supported passing

database

to

ibis.TableDataset

for load and save operations. - Added functionality to save pandas DataFrames directly to Snowflake, facilitating seamless

.csv

ingestion. - Added Python 3.9, 3.10 and 3.11 support for

snowflake.SnowflakeTableDataset

. - Enabled connection sharing between

ibis.FileDataset

and

ibis.TableDataset

instances, thereby allowing nodes to save data loaded by one to the other (as long as they share the same connection configuration). - Added

databricks.ExternalTableDataset

and

safetensors.SafetensorsDataset

to experimental datasets. 🪲 Bug fixes and other changes - Made

pandas.GBQTableDataset

lazy and pickleable. - Made

pandas.GBQQueryDataset

pickleable. - Implemented Snowflake's local testing framework for testing purposes. - Improved the dependency management for Spark-based datasets by refactoring the Spark and Databricks utility functions used across the datasets. - Deprecated

tracking.MetricsDataset

and

tracking.JSONDataset

. - Moved

kedro-catalog

JSON schemas from Kedro core to

kedro-datasets

. ⚠️ Breaking Changes - Demoted

video.VideoDataset

from core to experimental dataset. - Removed file handling capabilities from

ibis.TableDataset

. Use

ibis.FileDataset

to load and save files with an Ibis backend instead. kedro-airflow-0.9.2 🚀 Major features and improvements • Removed support for Python 3.8 kedro-docker-0.6.2 🚀 Major features and improvements • Added support for Python 3.13 • Removed support for python 3.8 • Switch dependency management to

uv

. kedro-telemetry-0.6.2 🚀 Major features and improvements • Removed support for Python 3.8 • Added support for Python 3.13 Thanks a lot to our community contributors ✨ - • Felix Scherz • @Minura Punchihewa • @Thomas d'Hooghe • @Mark Druffel • @Chris Schopp We welcome every community contribution, large or small. See what we're working on now and report bugs or suggest future features. Until next time, The Kedro Team 💛

We’re starting soon 👇 In this Friday’s edition of ☕️ Kedro Coffee Chat 🔶, @Rashida Kanchwala will present how to perform experiment tracking using Kedro and MLflow, and will explain how to migrate from Kedro-Viz experiment tracking. • YouTube ▶️ • LinkedIn linkedin https://www.linkedin.com/feed/update/urn:li:ugcPost:7285206153725136896

<!here> ☝️ Coffee Chat happening live on Youtube now: youtube

Hi @here, we are excited to announce that Kedro 0.19.11 is now available! K 🚀 Major features and improvements • Implemented a

<http://KedroDataCatalog.to|KedroDataCatalog.to>_config()

method that converts the catalog instance into a configuration format suitable for serialization. • Improved OmegaConfigLoader performance. • Added support for

%load_ext kedro

. 🪲 Bug fixes and other changes • Added validation to ensure dataset versions consistency across catalog. • Fixed a bug in project creation when using a custom starter template offline. • Added

node

import to the pipeline template. • Update error message when executing

kedro run

without a pipeline. • Safeguard hooks when user incorrectly registers a hook class in

settings.py

. • Fixed parsing paths with query and fragment. • Remove lowercase transformation in regex validation. • Moved

kedro-catalog

JSON schema to

kedro-datasets

. • Updated

Partitioned dataset lazy saving

docs page. • Fixed

KedroDataCatalog

mutation after pipeline run. • Made

KedroDataCatalog._datasets

compatible with

DataCatalog._datasets

. Read the complete release notes for kedro on GitHub. Thanks a lot to our community contributors Hendrik Scherner and @Chris Schopp! We welcome every community contribution, large or small. See what we're working on now and report bugs or suggest future features. Until next time, The Kedro Team

<!here> ☝️

We’re starting in 15 mins 👇 In the upcoming edition of ☕️ Kedro Coffee Chat 🔶, Laura Couto will present how Kedro uses cookiecutter to provide production-ready data science templates. • YouTube ▶️ • LinkedIn linkedin https://www.linkedin.com/events/datasciencetemplateswithkedroan7290428979201671168/theater

KKKKK Kedro-Viz 10.2.0 is LIVE!KKKKK Hey @channel, we're excited to announce Kedro-Viz 10.2.0 is out! 🔺 Deprecations: • Added a deprecation warning for the removal of the Experiment Tracking feature, which will be deprecated in Kedro-Viz version 11.0.0. For more details, please refer to our blog post. (#2248, #2263) 🔧 Bug Fixes & Other Improvements: • Fix kedro viz

--load-file

to run from any directory without requiring a Kedro project. (#2206) • Improved modular pipeline expand/collapse logic for better state synchronisation. (#2225) • Fix inconsistent function inspection for decorated functions. (#2246) 🎯 How to Get the Latest Release: • Python users: Run

pip install kedro-viz==10.2.0

• React users:

npm install @quantumblack/kedro-viz@latest

You can contribute by using these features and providing feedback. Follow our roadmap for more updates, vote on ideas, comment on the tickets, and suggest future features to the community. Happy visualising, and until the next release! — The Kedro Team

🚀 Kedro VS Code Extension 0.3.0 Release Notes Kvscode We’re thrilled to announce Kedro VS Code Extension 0.3.0. This update introduces key improvements, bug fixes, and enhanced usability to streamline your Kedro workflow in VS Code. Major changes and new features • Support for custom project path settings: You can now specify a custom project path within the Kedro extension settings, offering more flexibility when working across multiple projects. • Enabled primary toolbar: Enable primary tool bar with toolbarOptions for Kedro-Viz flowchart view. • Enhanced static catalog validation: The extension now validates dataset classes in the catalog using the Language Server Protocol (LSP). Improvements & Bug Fixes • Removed outdated dependencies related to YAML schema Kedro VS Code: https://marketplace.visualstudio.com/items?itemName=kedro.Kedro

<!channel> Kedro-Viz and VS Code extension releases! 👆🏼

We're live on YouTube! Want to know more about

kedro-databricks

? K 🧱

if you have large scale Kedro projects, this might be interesting for you 👇🏼

In today's edition of ☕️ Kedro Coffee Chat 🔶, @Huong Nguyen and @Dmitry Sorokin will present how you can group your Kedro pipelines using namespaces, and often underused feature. • YouTube youtube • LinkedIn linkedin https://www.linkedin.com/events/groupyourkedropipelinesusingnam7300552245819961344/theater/ see you there! and if you can't make it, the recording will stay up in our channel as always.

<!here> meow popcorn Kedro Coffee Chat starting now! youtube

iwd Happy International Women’s Day! iwd Hi Kedro community! Did you know that half of the Kedro team are women? ✨ This IWD, we’re celebrating the brilliant women who shape Kedro — driving innovation, building great features, and fostering an inclusive community. Your talent, dedication, and leadership inspire us every day. Meet the women behind Kedro: • @Ankita Katiyar 🇮🇳 - Software Engineer • @Laura Couto 🇧🇷 - Software Engineer • @Elena Khaustova 🇷🇺 - Machine Learning Engineer • @Huong Nguyen 🇻🇳 - Software Engineer • @Stephanie Kaiser 🇭🇰 - Design Lead • @Rashida Kanchwala 🇮🇳 - Tech Lead • @Yetunde 🇿🇦 - Product Director And a big shoutout to the other half of the team, who are amazing allies and supporters — championing inclusion and helping us all thrive. 💜 Thank you all for making Kedro stronger, more innovative, and a truly supportive space for everyone.

new versions of kedro-azureml and kedro-vertexai 👇🏼

<!here> In today's edition of ☕️ Kedro Coffee Chat K, @Elena Khaustova will present how you can create a GenAI-powered support chatbot using Kedro and LangChain 🔥 • YouTube youtube https://www.youtube.com/live/rgmANk-QwYg?si=ROvOcyDR36nOsSdL • LinkedIn linkedin https://www.linkedin.com/events/createagenaichatbotwithkedro7305647257524027393/theater/ See you there at 1pm GMT! And if you can't make it, the recording will stay up in our channel as always.

KKKKK Kedro-Viz 11.0.0 is LIVE!KKKKK Hey everyone, we're excited to announce Kedro-Viz 11.0.0 is out! 🚀 Major features and improvements • Experiment Tracking Removal: With a heavy heart, we're announcing that Experiment Tracking is no longer available through Kedro Viz. Please refer to the Kedro documentation for migration guidance here. (#2237) • Horizontal Flowchart Orientation: You can now seamlessly switch between vertical and horizontal layouts to better visualise your pipelines. (#2159) • Pipeline Visualisation in Notebooks: View and interact with Kedro pipeline visualisations directly within Jupyter notebooks. (#2241) • Pipeline Filtering in VSCode: Easily filter and navigate different pipelines when using Kedro-Viz inside VSCode. This will be available with kedro-vscode 0.4.0. (#2269) 🔧 Bug Fixes & Other Improvements: • Fixed kedro viz

--load-file

to run from any directory without requiring a Kedro project. (#2206) • Improved modular pipeline expand/collapse logic for better state synchronisation. (#2225) • Fixed inconsistent function inspection for decorated functions. (#2246) 🎯 How to Get the Latest Release: • Python users: Run

pip install kedro-viz==11.0.0

• React users:

npm install @quantumblack/kedro-viz@latest

You can contribute by using these features and providing feedback. Follow our roadmap for more updates, vote on ideas, comment on the tickets, and suggest future features to the community. Happy visualising, and until the next release! — The Kedro Team

Hey, we are excited to announce that Kedro 0.19.12 is now available! K 🚀 Major features and improvements • Added

KedroDataCatalog.filter()

to filter datasets by name and type. • Added

Pipeline.grouped_nodes_by_namespace

property which returns a dictionary of nodes grouped by namespace • Added support for cloud storage protocols in

--conf-source

🪲 Bug fixes and other changes • Added

DataCatalog

deprecation warning. • Fixed

MemoryDataset

to infer

assign

copy mode for Ibis Tables • Fixed pipeline packaging issue by ensuring

pipelines/__init__.py

exists when creating new pipelines. • Changed the execution of

SequentialRunner

to not use an executor pool to ensure it's single threaded. • Fixed

%load_node

magic command to work with Jupyter Notebook

>=7.2.0

. Read the complete release notes for kedro on GitHub. Many thanks to the following Kedroids for contributing PRs to this release: • @Jacob Pieniazek • @lucas vittor • @Ean • Toran Sahu We welcome every community contribution, large or small. See what we're working on now and report bugs or suggest future features. Until next time, The Kedro Team

🚀 Kedro VS Code Extension 0.4.0 Release Notes Kvscode We’re thrilled to announce Kedro VS Code Extension 0.4.0. This update introduces key improvements, bug fixes, and enhanced usability to streamline your Kedro workflow in VS Code. Major changes and new features: • Pipeline Filtering in Kedro-Viz Flowchart: Introduced the ability to filter pipelines on the Kedro-Viz flowchart directly within VSCode, Quickly focus on specific subsets of your pipeline. • Collapse/Expand Button for Pipelines: Added a dedicated button in the Kedro-Viz flowchart to quickly collapse or expand pipelines, enhancing the navigation experience. Other improvements: • Documentation for Pipeline Filtering: Provided clear instructions and documentation on how to use the new pipeline filter functionality within the Kedro-Viz flowchart. • Minimum Kedro-Viz Version Requirement: Updated the minimum required version of Kedro-Viz to 11.0.0, ensuring you benefit from the latest features and improvements. Kedro VS Code: https://marketplace.visualstudio.com/items?itemName=kedro.Kedro

<!channel> 🚀 Kedro 1.0 is coming — and we need your input! 🚀 As we gear up for our biggest release yet, we want to hear from you — our amazing Kedro community! Your insights, expectations, and feedback will help shape Kedro 1.0 to be the best version possible. 💛 What do you love about Kedro? 💡 What improvements would make your workflow smoother? 📢 What features are on your wishlist? Take a few minutes to share your thoughts in our survey. Your voice matters, and this is your chance to help shape the future of Kedro! 👉 Survey here 👈 (Survey closes in 2 weeks) Thank you for being a part of our journey! 🚀✨

In the upcoming edition of ☕️ Kedro Coffee Chat 🔶, @Ankita Katiyar will present how you can unlock data versioning with Kedro and Delta Lake or Apache Iceberg to create your data lakehouse. • YouTube youtube https://www.youtube.com/live/zBbdsVZpLDo?si=lqdHfUhQzspkAdQK • LinkedIn linkedin https://www.linkedin.com/events/unlockdataversioningwithkedro-d7310699249233489922/theater/ See you there! and if you can’t make it, the recording will stay up on our channel as always 📽️

Hey Kedro Community, We have an important update to share. After years of providing free, unlimited, world-class support, we’ve decided it’s time to start charging for our expertise. Until now, you’ve been blessed with the *Kedro Wizard*—a mystical being (engineer) who answers your questions, fixes your pipelines, and occasionally predicts the future of your ML projects completely free of charge. But let’s be real: maintaining a wizard isn't cheap. Starting today, we’re introducing Kedro Premium Support: 💰 Basic Tier (£9.99/month) – One answered question per week. 🔮 Pro Tier (£99.99/month) – Priority support with answers that actually make sense. 🧙‍♂️ Wizard Tier (£999.99/month) – A dedicated Kedro wizard who will answer unlimited questions and sit with you to debug your pipelines. : 🎶 Toss a coin to your wizard, O Kedro of plenty! 🎶 Stay tuned for sign up details!

🚀 Kedro VS Code Extension 0.5.0 Release Notes Kvscode We’re thrilled to announce Kedro VS Code Extension 0.5.0. This update introduces key improvement and enhanced usability to streamline your Kedro workflow in VS Code. Major changes and new features: • Introduce walkthrough: Added a walkthrough to the Kedro VSCode extension to guide users on setup and getting started. Kedro VS Code: https://marketplace.visualstudio.com/items?itemName=kedro.Kedro

<!here> in today's edition of ☕️ Kedro Coffee Chat 🔶, @Rashida Kanchwala will present the roadmap to Kedro 1.0, what's in the pipeline for the coming months, and how you can make your voice count! • YouTube youtube https://www.youtube.com/live/57EdTfKycos?si=7MUA52HZrRA9t8Tq • LinkedIn linkedin https://www.linkedin.com/events/theroadtokedro1-07316026064122642434/theater/ see you there! and if you can't make it, the recording will stay up in our channel as always 📽️

remember that you can still answer the Kedro 1.0 survey here 👉🏼 https://www.surveys.online/jfe/form/SV_blNpMXyxSvyGEN8

KKKKK Kedro-Viz 11.0.1 is LIVE!KKKKK Hey everyone, we're excited to announce that Kedro-Viz 11.0.1 is out! This is a patch release with few bug fixes 🔧 Bug Fixes & Other Improvements: • Fix shareable viz for git pages. (#2302) • Fix missing layer information for dataset factories. (#2308) 🎯 How to Get the Latest Release: • Python users: Run

pip install kedro-viz==11.0.1

• React users:

npm install @quantumblack/kedro-viz@latest

You can contribute by using these features and providing feedback. Follow our roadmap for more updates, vote on ideas, comment on the tickets, and suggest future features to the community. Happy visualising, and until the next release! 🎉

this week we don't have Coffee Chat ☕ and the next one the full Kedro team at QB will be doing a co-location, so expect slower response times from us 🏢

🚀 Kedro Hackathon is Coming! We Need Your Ideas! 🧠🎉 Hey team! We’re kicking off plans for an internal Kedro Hackathon, and we want you to help shape what we build. This hackathon isn’t just about using Kedro – it’s about pushing the boundaries of what Kedro could become. To get the creativity flowing, we’ve put together a list of 10 starter ideas. But this is just the beginning – we’d love to hear what you want to explore or build. Drop your ideas in this thread! 🧵 Or if you like any of the ideas below, feel free to show some love with an emoji reaction. 📚 GenAI: Prompt Optimization Pipelines – Modular workflows for prompt tuning and testing pycharm iconsvg Kedro PyCharm Extension – IntelliSense, catalog autocompletion, node jumping, and Kedro-native refactors 💬 Kedro Wizard Chatbot – An AI assistant to answer Kedro questions and help with project structure and debugging 🔍 GenAI: Robust Evaluation Pipelines – Standardized LLM evals with metrics and datasets 🐳 Effortless Kedro Deployment with Docker – Per use-case containers for clean, isolated pipelines 🧠 Notebook-to-Kedro Pipeline with GenAI – Automate pipeline generation from messy code 📊 Kedro-Viz Reimagined – Editable graphs, live data previews, and a smoother UI experience 📄 JSON Logging for Observability – Structured logs for easier debugging and dashboards 🌍 Kedro for Geospatial Data – Native support for shapefiles, GeoJSON, and spatial queries 🤖 Kedro-Agent Bridge – Use Kedro pipelines as LangChain agent tools for modular, intelligent workflows Let’s build the future of Kedro together 💛

📢 New Blog Post: Build a GenAI-powered chatbot with Kedro + RAG Hey folks! We just published a new blog post showing how you can use Kedro to build structured, modular GenAI applications, with a focus on Retrieval-Augmented Generation (RAG). In this example, we used real questions from our Slack support channel to build a chatbot that can answer Kedro-related queries using LangChain, Deep Lake, and OpenAI models - all implemented with Kedro pipelines. ✨ What you’ll learn: • How to organize GenAI workflows using Kedro • Tricks for handling prompts, LLMs, and custom objects in a pipeline • How RAG compares to plain LLM output • What’s needed to take this toy project to production 📚 Read the post: https://kedro.org/blog/building-a-genai-powered-chatbot-using-kedro-and-langchain 💻 Source code: https://github.com/kedro-org/kedro-academy/tree/main/kedro-rag-chatbot youtube Demo Let us know what you think or if you want to try this out with your own knowledge base!