Deepnote
DeepnoteReviews from AWS customer
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Simple to use, powerful and collaborative
What do you like best about the product?
I was looking for a notebook that can be easily shared, without the hassle of installing and configuring Jupyter or other tools, and Deepnote provides just that (and quite a lot more). It's easy to use, simple, powerful, and, importantly, makes teamwork coding easy.
What do you dislike about the product?
Some features, like exporting to Gsheet, could be made available in a more automated way (but I understand several new functionalities are currently being developed).
What problems is the product solving and how is that benefiting you?
Deepnote is making the sharing and collaborative work on python notebooks simple!
Deepnote Has Helped Me Raise my Data Science Game!
What do you like best about the product?
Flexibility and affordability. I have also found it to be more stable compared to Google Colab. Very rarely issues with disconnecting while training models
What do you dislike about the product?
I have found some functions easier to carry out in Colab such as integrating with Kaggle to automate data import
What problems is the product solving and how is that benefiting you?
Affordability and flexibility
Efficient ETL with Deepnote
What do you like best about the product?
Deepnote's AI assistant has been incredibly helpful in creating new code blocks and fixing issues, making it easier to manage the ETL process without prior extensive Python experience. The platform allows for smooth daily execution of the ETL process, which has been running reliably. The built-in secret management helps avoid hardcoding secrets directly into the code, providing a basic level of security.
What do you dislike about the product?
The interface can be slow to load, especially with a large number of code blocks. I wish I could get detailed information about past executions, both successful and failed, for troubleshooting and monitoring. The visibility of secrets in the secret manager poses a potential security risk.
What problems is the product solving and how is that benefiting you?
As a web-based platform, I can access my projects from anywhere without complex setups. The AI assistant helps me write and debug code, which is great since I don't have extensive experience with Python. I get immediate results, helping me quickly spot and fix issues in my ETL process.
Great and streamlined our processes
What do you like best about the product?
Sharing / no wall building between teams
What do you dislike about the product?
Integrations with data sources are limited with poor auth
What problems is the product solving and how is that benefiting you?
Allow sharing of work and analyses between teams and support junior members of the team learn how to code
It makes notebooks collaborative
What do you like best about the product?
Deepnote's search and ease of sharing. Prior to using Deepnote we had an awkward repo of hundreds of Jupyter notebooks. Finding specific notebooks was really hard. Sharing them even harder.
With Deepnote, search and sharing became really easy.
With Deepnote, search and sharing became really easy.
What do you dislike about the product?
I haven't yet intuited to the AI features and think that's a big opportunity going forward.
What problems is the product solving and how is that benefiting you?
Making our repo of Jupyter notebooks searchable and shareable. This became really important when we went from 1 DS -> 2.
Very useful and intuitive
What do you like best about the product?
The best part of using deepnote is to be able to combine different environments such as Python, SQL, files, etc. to be able to develop much faster. Also, the automation of tasks is very useful and allows you to keep track of errors very easily. I'm a hard user of Deepnote since I knew it. Also, the integrations are really useful and have everything I need.
What do you dislike about the product?
The AI functions are useful, but need to be improved. Sometimes I don't feel confident with this. Also, I would like to have more options to automate processes like ETL that are long-time-running projects but could be executed very easily with such a tool.
Also, plots could be limited and sometime I have to use python because plot feature is not enough.
Also, plots could be limited and sometime I have to use python because plot feature is not enough.
What problems is the product solving and how is that benefiting you?
Mainly connecting different data sources to be able to do transformations within SQL or Python. Likewise, also automating the updating of this data in other tools.
Deepnote is among the best data science notebooks
What do you like best about the product?
Deepnotes strengths include it's AI CoPilot which has an uncanny ability to read my mind. Sometimes I just type a single character and it correct predicts that I want to rename a field, etc. Additionally, the integrations with data sources like SQL make it fast and easy to pull external data into my projects. The file area is also well done -- allowing me to upload, move, create folders, and rename files -- I've used other notebooks which were lacking in this area.
What do you dislike about the product?
Othernote books like Hex.tech excel with Dashboards and reporting. But this seems to be an area where Deepnote is working to close the gap
What problems is the product solving and how is that benefiting you?
Deepnote makes it much easier to work with data from different sources, especially PostgreSQL and CSV files. I use it mainly for running SQL queries, importing datasets, creating charts, and doing exploratory data analysis. The interface is intuitive, and I like that everything—from code to visualizations—lives in one place.
One of the biggest benefits is how easy it is to share insights with my team. I can just send a link, and they see the full notebook with all the context, charts, and outputs—no need to export static reports or explain things over email. It saves time and keeps everyone on the same page.
One of the biggest benefits is how easy it is to share insights with my team. I can just send a link, and they see the full notebook with all the context, charts, and outputs—no need to export static reports or explain things over email. It saves time and keeps everyone on the same page.
Fairly straightforward
What do you like best about the product?
Useful to share insights with other team members
What do you dislike about the product?
Can be a bit difficult to use without a technical background
What problems is the product solving and how is that benefiting you?
Deeper technical analysis
Great notebook for data analysis
What do you like best about the product?
Modern interface and assets managements!
What do you dislike about the product?
a bit expensive for people using it 1 time per month
What problems is the product solving and how is that benefiting you?
Doing analysis, sharing and storing it
very great for managing experiments!
What do you like best about the product?
easy to use, uptime for GPUs is always high
What do you dislike about the product?
The read/write speed to a notebook is pretty slow
What problems is the product solving and how is that benefiting you?
my research and using cloud compute to get results
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