Deepnote
DeepnoteReviews from AWS customer
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great end to end jupyter notebook!
What do you like best about the product?
Smart code complete thats better than any other jupyter notebook I've seen. Most IDE like expericence with great Ui
What do you dislike about the product?
Happy with everything about my experience except for Ipywidgets support. Currently not easy to support Ipywidgets but once implemented I have no complaints
What problems is the product solving and how is that benefiting you?
Creating content and tutorials to share with my connections
Best platform to run your code - even from iPhone!
What do you like best about the product?
Deepnote allows me to run the code from any platform (even from my iPhone) without worrying about dependencies, etc.
Also, it makes onboarding of new team members quick and simple - yesterday I was able to onboard a new developer within a few hours.
Also, it makes onboarding of new team members quick and simple - yesterday I was able to onboard a new developer within a few hours.
What do you dislike about the product?
When I started using Deepnote it was still in the early stage and had some bugs, but the Deepnote development team did a great job, and now it works perfectly!
What problems is the product solving and how is that benefiting you?
I use Deepnote for testing simple scripts, parsing the web, and interacting with our MongoDB. Now our team has one source of truth and can collaborate more effectively.
Amazing tool for exploratory workflows
What do you like best about the product?
Deepnote's native integrations mean I can tap directly into my data in BigQuery without having to leave the notebook. I also enjoy the interplay between SQL and Python in one notebook. The native charting feature is also extremely useful for doing quick ad hoc visualizations without any code.
What do you dislike about the product?
Nothing at the moment. Deepnote has been a great alternative to Jupyter, I'm excited to see where it goes next.
What problems is the product solving and how is that benefiting you?
Product analytics for a B2B SaaS app.
Tight, responsive, performant, secure product with incredible team and vision
What do you like best about the product?
My team loves Deepnote because they:
- care about design
- build engaged communities
- obsess over customer feedback
- made a product that works with all of the most common integrations
- value security of data
- care about design
- build engaged communities
- obsess over customer feedback
- made a product that works with all of the most common integrations
- value security of data
What do you dislike about the product?
Value is most apparent when multiple users collaborate; realizing this value requires teams to align on tools internally. Forcing this decision which is not a negative about DeepNote but rather a positive, but many orgs put off this hard choice :)
What problems is the product solving and how is that benefiting you?
Analyses from data scientist A are hard to share (much less collaborate on) with data scientist B. Deepnote solves this problem.
Getting data from our cloud into our compute environment requires setup every time. Deepnote integrations are per team, not just per project, so this problem only has to be solved once.
Getting data from our cloud into our compute environment requires setup every time. Deepnote integrations are per team, not just per project, so this problem only has to be solved once.
Recommendations to others considering the product:
Give it a try, and reach out to their Product team. The community is fantastic and they truly want to delight their users.
Best way to start learning data science, with integrations that mean you never need to leave
What do you like best about the product?
Deepnote is a Jupyter front-end that simplifies interactions with external products and sources. For example, it natively supports a secure connection to Snowflake, BigQuery etc.
I also really like that if I'm working with a team I don't have to worry about the damage caused by a forgotten push in the afternoon from any of my teammates, since we're all working live.
I also really like that if I'm working with a team I don't have to worry about the damage caused by a forgotten push in the afternoon from any of my teammates, since we're all working live.
What do you dislike about the product?
There are certain features present in Jupyter Notebook that users might miss. For example, the (shift + tab) that introspects the docstring of the function you are currently in to show the full docstring.
What problems is the product solving and how is that benefiting you?
I was performing exploratory data analyses at a rate that I previously hadn't achieved due to using cumbersome tools.
The best Cloud IDE for Data Science professionals.
What do you like best about the product?
Deepnote Embed cell for Sharing a snippet of code or use it in your blogs. Schedule the notebook, where your code runs every day or week at a specific time.
What do you dislike about the product?
The absence of a free GPU and the occasional difficulty beginners face when using new features.
What problems is the product solving and how is that benefiting you?
I have been using it for Data analysis, Machine learning, Natural language processing, and creating production-ready web app and APIs.
Recommendations to others considering the product:
If you are starting to learn Data Science or Machine Learning, I suggest you start with a Cloud IDE, especially Deepnote.
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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