:rocket: Kedro Hackathon is Coming! We Need _Your_...
# announcements
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πŸš€ Kedro Hackathon is Coming! We Need Your Ideas! πŸ§ πŸŽ‰ 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. πŸ“š 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 πŸ’¬ Kedro Wizard Chatbot – An AI assistant to answer Kedro questions and help with project structure and debugging πŸ” 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 πŸ“Š Kedro-Viz Reimagined – Editable graphs, live data previews, and a smoother UI experience πŸ“„ JSON Logging for Observability – Structured logs for easier debugging and dashboards 🌍 Kedro for Geospatial Data – Native support for shapefiles, GeoJSON, and spatial queries πŸ€– Kedro-Agent Bridge – Use Kedro pipelines as LangChain agent tools for modular, intelligent workflows Let’s build the future of Kedro together πŸ’›
πŸ“Š 6
🐳 5
pycharm 1
πŸ“š 1
πŸ’¬ 1
πŸ” 1
🧠 2
πŸ“„ 3
🌍 2
πŸ€– 1
πŸ’› 6
d
Kedro MCP server
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g
Integrating elements from MLFlow UI into Kedro Viz would be great to explore pipeline runs πŸ™‚
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Kedro MCP server
Hey, that's my weekend project plan 🀣
Marimo integration
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Sometime that enables you to vibe code an end-to-end data pipeline, from data loading to transformation to modeling to visualization πŸ™‚
Kedro for Geospatial Data
Just use Ibis 🀫
Extracting column-level lineage and displaying it in Kedro-Viz
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g
Not sure if this is what Deepyaman means, but:
Marimo-to-kedro
and
kedro-to-Marimo
converters
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