#205: Building reactive Python notebooks with Marimo

Marimo is redefining what a Python notebook can do—bringing structure, version control, and interactivity together. In this episode, we chat with Akshay Agrawal, co-founder and CEO of Marimo, about how their reactive Python notebook fixes hidden state, keeps outputs in sync, and makes reproducible, reviewable code the norm. Akshay shares Marimo’s origin story, how its reactive DAG turns notebooks into clean, Git-friendly tools, and why teams are ditching Jupyter-to-Streamlit pipelines for simpler, reactive workflows. We also dive into performance, data handling with pandas/Polars via Narwhals, and SQL reactivity with DuckDB. Join us in this insightful episode as we talk with Akshay about reproducibility, data workflows, and turning prototypes into shareable apps. For more info on Marimo, reach out to Akshay: Website: https://www.akshayagrawal.com/ Github: https://github.com/akshayka LinkedIn: https://www.linkedin.com/in/akshayka/ X: https://x.com/akshaykagrawal ______ If you found this podcast helpful, please consider following us! Start Here with Pybites: https://pybit.es Developer Mindset Newsletter: https://pybit.es/newsletter 💡 Pybites Books: https://pybitesbooks.com/ Bob LinkedIn: https://www.linkedin.com/in/bbelderbos/ Julian LinkedIn: https://www.linkedin.com/in/juliansequeira/ Twitter: https://x.com/pybites Apple Podcasts: https://podcasts.apple.com/us/podcast/pybites-podcast/id1545551340 Spotify: https://open.spotify.com/show/1sJnriPKKVgPIX7UU9PIN1