Deepnote
DeepnoteReviews from AWS customer
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Best data science notebook - by far!
What do you like best about the product?
Great UI, amazing and very responsive support, all our issues had been sorted pretty fast. Also they are conitnuously adding new features, which is really great!
What do you dislike about the product?
Nothing, it's a great product overall, better than all of its competitors
What problems is the product solving and how is that benefiting you?
Different data science tasks, training neural networks
Very efficient notebooks
What do you like best about the product?
Keystroke efficiency combined with hardware availability, also the all-in-one platform style (similar to Pycharm)!
What do you dislike about the product?
I wish there was a bigger community of users.
What problems is the product solving and how is that benefiting you?
Sharing data science work is handy. A lot of the problems I have with Jupyter aren't a problem here and it is MUCH more aesthetically pleasing to use.
Using deepnote for advanced business processes and pipelines
What do you like best about the product?
The flexibility of Deepnote is likely what I like best. We use it for a growing number of business ETL tasks and data pipelines. For advanced Slack messages, like automating our monthly sales progress alerts (with charts and all!). We've used it for heavier tasks like machine learning model training, and so on. It's held up with each task and project and doesn't show any signs of strain. For that, it's become the most important tool in our DataOps team stack.
As well, the community is great. It's active, friendly, and people are always helpful.
As well, the community is great. It's active, friendly, and people are always helpful.
What do you dislike about the product?
If I had to choose something, it'd be the lack of things like ipywidgets. The ability to make notebooks more interactive is nice to help out less tech-savvy team members who'd rather use drop-downs and buttons over coding themselves.
What problems is the product solving and how is that benefiting you?
The main problem Deepnote has solved is bringing our various data processes under one roof. In the past, we had code running locally, in spots like Zapier, hosted on AWS, and so on. Our main goal was to condense and slim down our DataOps stack and Deepnote has been the key player in doing that. Data processes including ETL, alerts, machine learning, etc.
The most significant benefit we've realized is the collaborative ability of the notebooks and the ability to add in comments, notes, etc., to help explain things for team members who don't necessarily understand the code.
Additionally, it's sped up our testing and staging immensely. Deepnote feels more-or-less like developing locally on your computer, but since it's in the cloud and hosted, it's typically a step closer to being demoed and "shown off" than it would be if it were just local. With recent web tunneling updates, this has been enhanced even more so.
The most significant benefit we've realized is the collaborative ability of the notebooks and the ability to add in comments, notes, etc., to help explain things for team members who don't necessarily understand the code.
Additionally, it's sped up our testing and staging immensely. Deepnote feels more-or-less like developing locally on your computer, but since it's in the cloud and hosted, it's typically a step closer to being demoed and "shown off" than it would be if it were just local. With recent web tunneling updates, this has been enhanced even more so.
Great tool to foster open, collaborative, and reproducible research and teaching
What do you like best about the product?
Easy to use and convenient integration with Docker and Github.
What do you dislike about the product?
Compared to Python, relatively few R packages are installed by default. But once I connect it to a Docker container, I can use all of my favorite R packages.
What problems is the product solving and how is that benefiting you?
Foster open, collaborative, and reproducible research, teaching, and learning.
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.
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