Back in 2012, I used Data Nitro / Iron Spread. It enabled running Python on spreadsheets.

My problem back then with the tool was that it sat between chairs. It was impossible to run Python entirely, as it only ran a subset of libraries and did not have a package manager, and it required thinking about cells, as is the case with Excel formulas.

As a result, I could only use some of my Python codebase and not collaborate with other Excel users who were not Python experts. We ended up reverting to Excel formulas or VBA.

I'm curious about who is the target user for Neptyne. Is it Python developers and data scientists who want to do some spreadsheet work?

I’ve been following the product for a few years already. I appreciate how easy it is to use. I am not a professional front-end developer, but I nicely benefit from incorporating BeB in my workflow.

Thanks a lot for your feedback! That's really good to know.

Hi Evidently team, congratulations on the launch! I like a lot what you are doing. I work primarily with time-series data. I hope we will see in the future a module to handle time-series problems such as forecasting. Also, please include integration with Google Colab. My colleagues and I work extensively with it, and it is the platform that we use to test new libraries. Otherwise, keep with the great work!

Thanks - integration with Сolab is in the near-time roadmap. You can already use it to generate JSON profiles and export HTML reports. We are working now to make it possible to display all the interactive plots directly inside Сolab.

Longer term, we also plan to add more reports for specific problem types, as such time series or recommendation systems. Keep an eye on the repo!