Deepnote
DeepnoteReviews from AWS customer
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Deepnote 10/10
What do you like best about the product?
Deepnote has an intuitive and simple UI – great for data science newcomers. It's fully managed so I don't need to worry about python installation and environment config.
Great for newbies, great for advanced users.
I stopped using Jupyter completely.
I like variables explorer and the ability to share my code quickly.
They are constantly adding features, so far everything was super useful.
Great for newbies, great for advanced users.
I stopped using Jupyter completely.
I like variables explorer and the ability to share my code quickly.
They are constantly adding features, so far everything was super useful.
What do you dislike about the product?
So far, I haven't encountered anything I dislike about Deepnote.
What problems is the product solving and how is that benefiting you?
Collaborating on analyses and model development with my colleagues. Sharing results with the rest of the company is fast and easy.
It allows me to quickly reuse code. I used it on several occasions for impromptu analysis during live presentation.
It allows me to quickly reuse code. I used it on several occasions for impromptu analysis during live presentation.
The best notebook for Ruby on Rails
What do you like best about the product?
The out-of-box Ruby on Rails integration blows my mind. Custom docker images are extremely useful, too.
What do you dislike about the product?
Nothing comes to mind really! I'd highly recommend Deepnote to any existing Jupyter user.
What problems is the product solving and how is that benefiting you?
Data analysis of a B2B SaaS app.
Great experience
What do you like best about the product?
I really like how Deepnote engages with the community and appreciate the constant addition of sought-after features.
What do you dislike about the product?
Nothing really, I think Deepnote is doing great for the product of this age.
What problems is the product solving and how is that benefiting you?
Iterating fast and being able to ask and answer important questions based on data.
The best data science notebook I've used
What do you like best about the product?
Deepnote has an excellent, intuitive user interface. Most importantly, its real-time collaboration features make it incredibly easy to work together with our team. It has a very robust feature set from versioning and code reviews that enables our team to work more productively. Pricing is very accessible and easy to get started, and their support is great!
What do you dislike about the product?
Nothing thus far - especially considering their support team has been very responsive and helpful to our questions.
What problems is the product solving and how is that benefiting you?
Allowing our data team to more easily collaborate, review each other's work, and handing off to our enigneering team.
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