[sauwan]

As a non-data-scientist who does some infrequent data analysis in python, this looks amazing. But not something I think we can justify paying for with the amount of analysis I do.

If this doesn't work out commercially, would you consider open-sourcing it?

I am curious how many data scientists don't already have pipelines that do similar functions?

[kite_and_code]

Thank you for your feedback! How often do you perform analyses? And what do you think is something that you can justify paying? We would like to find a suitable pricing schema for all use cases.

About open-sourcing: I cannot tell right now what the situation will be in the future. But I can tell you that we believe in Open-Source and technologies which dont provide a vendor lockin. This is also why we export the pandas code. So, you are always flexible with your code and you own the result of your work.

Basically, we want to strengthen people to use Open-Source software at the core but we also want to make it as user-friendly as fully proprietary solutions like Trifacta. So, you will have the best of both worlds without the vendor lockin.

We talked to many Data Scientists and some already started creating similar packages etc but they never got far because it takes a long and consistent effort to catch most of the cases. Also, it quickly becomes a software engineering challenge.

[yuvapavan]

Hi Sauwan,

You can sign up for https://cloud.trifacta.com/ our SaaS offering for your data analysis.