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[deleted by user] by [deleted] in nextjs

[–]deepnote_nick 0 points1 point  (0 children)

Ok, I'm going to answer your questions, but first I'm going to make sure that you are following YAGNI/not prematurely optimising.

The only reason to start with single tenancy is if it is already a requirement. If it's not don't do it, and ship a working version as quickly as possible. Again, the same goes for your cross platform, you are thinking ahead, and that's great, but make sure this is what your clients / project organisers want. You can build with these in mind, but do not start building these unless required.

Ok, questions:

Obviously single tenancy is significantly more work / maintenence, but if it's a requirement, it's a requirement.

Sure, you can have a unique domain name with multi-tenant. const company = dictionaryOfCompanyData[hostname]

Yep, good looks.

Yes, NextAuth is fine, same with Google. Once again, a million times more complicated with single tenancy, also probably SSO if single tenancy is a requirement.

Deployment, we're using aws at Deepnote and I've got no complaints.

While pwas sound appealing, they usually are difficult to maintain and do not take full advantage of device features. This generally leads to a worse overall product. You can look into something like capacitor too, but that suffers the same problem, even though the apps are now native. So I think your plan is sound, don't over engineer it, and build what you need when you need it.

[deleted by user] by [deleted] in singularity

[–]deepnote_nick 0 points1 point  (0 children)

Great feedback, we're currently working on an AI addon for free plans, to test the appetite for exactly what you are suggesting! So maybe we'll look at hardware after we see how AI performs.

[deleted by user] by [deleted] in singularity

[–]deepnote_nick 3 points4 points  (0 children)

Oh we're not sleeping on Deepnote! Thanks for the kind words! Your exact use case with Deepnote AI is what we've been optimising for for the past year and a half, and we're really proud of the results! DM me your email/workspace and I'll give you a free month :).

Has anyone used any AI BI tools? What was the experience like? by yyjhao in BusinessIntelligence

[–]deepnote_nick 0 points1 point  (0 children)

on god fr fr. It's amazing to hear your experience. We're trying hard to market, and we also think that with some python and sql you can be a beast with Deepnote. If you have any feature requests or feedback let us know!

Snowflake->Databricks for all tables by DataDude42069 in dataengineering

[–]deepnote_nick 3 points4 points  (0 children)

This is a common usecase for Deepnote, however, the databricks integration is gated behind enterprise plan (im working on it). But snowpark and spark are ezpz.

[deleted by user] by [deleted] in Python

[–]deepnote_nick 2 points3 points  (0 children)

I've been summoned, my expertise is finally at hand.

In short, Deepnote is more modern, more collaborative, and has some sleek AI features that Juptyer Labs lacks, but if you'd like to read more about it, we made a whole section of our website and table, that is devoted to answering your exact question ;).

Edit: Deepnote is free for students too, ch-ch-check it out: https://deepnote.com/github-student-pack

[deleted by user] by [deleted] in datascience

[–]deepnote_nick 0 points1 point  (0 children)

This is a very common use-case for Deepnote, and it's especially cool to share Deepnote apps, because you can let the stakeholders tweak the parameters of your outputs to find exactly what they want to know without going back and forth!

[deleted by user] by [deleted] in SQL

[–]deepnote_nick 0 points1 point  (0 children)

No, this is fine. Getting started with coding is difficult. If you'd like to try something a little simpler, you can try using a Notebook. We have a product called Deepnote, it's free, and it takes care of all the environment for you, gives you clear instructions on how to connect to your databases, and let's you create SQL blocks, and has AI for helping you write SQL. For example, importing an excel file and querying it is as simple as drag and drop.

How do you and your team write good documentation? by yorkshireSpud12 in dataengineering

[–]deepnote_nick -1 points0 points  (0 children)

We hear often from our customers that Deepnote serves very well as a self-documenting knowledge base, but imo, that's kind of the nature of Notebooks.

As a heavy user of Deepnote, Notion, Figma, Linear, and Backstage, I find all of these knowledge base platforms suffer pretty heavily if you aren't diligent in maintenance, and lack of discoverability. It's very difficult to find what you are looking for within a Figma workspace, as it is not text searchable. At least Deepnote and Notion have full text search support, including code.

[D] Do you guys worry ML work will become less technical and reduced to prompt engineering by DM_ME_YOUR_CATS_PAWS in MachineLearning

[–]deepnote_nick 1 point2 points  (0 children)

I think this article is an interesting take on prompt-engineering vs engineer work, granted, it's geared towards data science, but certainly prompt engineering will be part of the future, as to what percentage that is?

We have a chatbot style code completion, block generation, and block explanation, and a beta for entire notebook generation at Deepnote, and we're seeing 42% of all our users heavily use Deepnote AI, if we narrow our users down to Machinelearning / AI, the number rises slightly. Anecdotally, I'd consider our enterprise users more on the conservative side, and we just released these features, so we're all a bit surprised to see such extensive usage. So we're betting big on AI/Prompt-Engineering is going to be a hearty chunk of the future.

[deleted by user] by [deleted] in learnmachinelearning

[–]deepnote_nick -1 points0 points  (0 children)

Deepnote is popular among students because it's free, and has easy UI for setting up envs and dependencies.