Show HN: Mineo.app – Better Python Notebooks (opens in new tab)

https://westurner.github.io/hnlog/ Ctrl-F "DVC" ( https://dvc.org/ ) , https://westurner.github.io/hnlog/#comment-24261118 "Ten Simple Rules for Reproducible Computational Research", “Ten Simple Rules for Creating a Good Data Management Plan”, PROV

pygwalker https://github.com/Kanaries/pygwalker :

> PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis

"Generate code from GUI interactions; State restoration & Undo" https://github.com/Kanaries/pygwalker/issues/90

Regarding hex tech, we are more focused on the BI side of the business, providing an integrated platform for deploying and publishing data applications based on notebooks and low-code components, rather than building another real-time notebook collaboration platform or a graph-based notebook like einblick or hex tech. We believe they represent a great opportunity to bridge the gap between data science notebooks and what final users expect: Dashboards and reports.

As for releasing the platform as an open core, we've had internal discussions about this since the beginning of the project, and it's something we're seriously considering.

Accessing the showcase without registering is something we definitely need to change, although it's free to register and all you need is a Google/Microsoft/Github account.

Thanks for the feedback, esafak!

Our goal is not to replace Jupyter Notebook, it's a software that does what it claims to do in an excellent way. We are big fans of it.

Our goal is to provide a platform to deploy and scale your notebooks and turn them into data applications that solve the real problems that occur in production environments, like access control, collaboration, version control, and many other things that are required to turn a notebook you're running in your computer into a product.