No, I didn't know. Not a fucking mention of it. Would have been nice to have that on the page somewhere.
The 10k subscribers is a soft goal, so we may still develop bamboolib if we are somewhat close to it, but the 10k give us a clear threshold. Also, if we decide not to do it, we will delete all mails. So you don't need to be afraid that your mail gets abused.
Also please note that our landing page is just online for a couple of hours and we have already hundreds of signups, so in my estimation, getting at least close to 10k is very feasible.
This depends of course on whether people who really need bamboolib share it with others who also really need it. And we are glad that we already found some people who would save between 20-40h per month. However, the big question is: are we able to find more people like those and are they able to find us. So, this is the challenge :) However, the challenge is big and therefore, we need support from others who are willing to share bamboolib if they really need it
How do you know if they really want it if all you have to show are mock ups and no real functionality. Or even worse, using videos of OTHER SOFTWARE without mentioning that it's lifted from that and not from a WIP or anything like that.
This pisses me off way more than it should. The onus is ON YOU to do market research, not for the market to do research for you. You should know if this is in demand already or not. What's the point besides mining e-mail addresses?
Also, to many people it has been very clear that this is just a product vision when they watched the video because I mention this multiple times in the video.
I can understand that you would prefer the "hacker way" of first coding something before talking about it at all. Actually, this is what we did with edaviz.com
During that work we came to the hypothesis that bamboolib might be even more interesting to many Python Data Scientists. However, we wanted to save our coding time because we might be slower than you. And thus, we decided for creating the vision video first.
The landing page and the email addresses helped us to get in contact with users who are really passionate about the project and want to see it happen. However, the features within Jupyter are to some extent different than the features within Trifacta Wrangler which operates in the cloud. Also, the users of Trifacta Wrangler don't have the option to fall back to real code when they might want to.
It's a well-known commercial package that's been around for ages and when I saw it they seem to have some good ideas around UI for data prep (e.g. like seeing your dataframe at every stage, reordering operations and flipping back and forth) that could further inspire your GUI.
I am Florian, the co-creator of bamboolib and I am happy to answer any questions :)
- Trifacta can be slow, and part of that might be the way it stores the data (I'm assuming js data structures); if so Pandas/Bamboolib could improve that.
- Trifacta/Cloud Dataprep is directly integrated with Cloud Dataflow and can handle jobs that would crash Pandas.
And yes, as I say in the video, we used the Trifacta Wrangler Free Version to illustrate the vision of what we aspire to build. In the end, it will look different of course and we have some ideas on where we would imagine a completely different user interface. If this will be better or worse remains to be seen..
And thank you for the comparison of Trifacta and pandas. And I agree, that pandas won't be able to handle any dataset size. However, I wonder if the data set size can be increased if we also work in the cloud on machines with a larger RAM. Or, maybe even export Dask code instead of pandas code.
So, you seem to have experience working with Trifacta Wrangler. Is there something that you don't love about their solution?
I think there's great value in making sure the product is a bit more intuitive to unlock some interesting markets, beyond data science.
I'm confused. Is it like a giant iPad and they paw a square that is designed for Pandas and they get a bamboo treat?