Deepnote
DeepnoteReviews from AWS customer
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A Collaborative Data Science Platform That Enhances Real Estate Data Management
What do you like best about the product?
Deepnote’s seamless collaboration allows teams to work together in real time, improving data analysis speed.
The platform offers strong version control, ensuring data integrity and reliability.
Interactive visualizations make it easy to display complex real estate data in a user-friendly way.
The platform offers strong version control, ensuring data integrity and reliability.
Interactive visualizations make it easy to display complex real estate data in a user-friendly way.
What do you dislike about the product?
Some advanced features may require additional learning, especially for users new to data science tools.
Limited offline functionality might be a challenge in areas with unstable internet connections.
Limited offline functionality might be a challenge in areas with unstable internet connections.
What problems is the product solving and how is that benefiting you?
In my real estate company, I use Deepnote primarily for managing and analyzing large datasets, ensuring data accuracy, and creating visualizations that are shared with clients and stakeholders. It has become an essential tool for improving our internal workflows and delivering valuable insights to users.
It's a excellent tool for data analysis and researches, simply the best!
What do you like best about the product?
It's so easy to create analysis, charts, queries. It saves you a lot of time and effort!
What do you dislike about the product?
It could be really annoying when working with large datasets or notebooks, it gets really slow and you cannot use it at all.
What problems is the product solving and how is that benefiting you?
I don't need to be an expert in Python. Coding is really fast and easy.
Powerfull Notebook
What do you like best about the product?
I've been using Deepnote for over a year now, mostly for Python projects. At first, I just used it to schedule and automate scripts for different tasks. As we grew, it turned into a go-to tool for running Python scripts, and even our non-technical teammates can now run scripts on their own without needing my help.
The interface is clean and easy to use, the built-in integrations are super handy, and having secret key management built in is a big plus.
I also really like the AI features — they help me write code faster by predicting what I need and are great for debugging when something goes wrong. The customer support also great, while they are not available during my working hours, but they will respond as soon as they are available.
The interface is clean and easy to use, the built-in integrations are super handy, and having secret key management built in is a big plus.
I also really like the AI features — they help me write code faster by predicting what I need and are great for debugging when something goes wrong. The customer support also great, while they are not available during my working hours, but they will respond as soon as they are available.
What do you dislike about the product?
Sometimes the interface is a bit slow to load and can feel laggy. One thing I’m also concerned about is how secret keys are handled — it would be better if only the owner could view the actual values, while others could still use them without seeing the details.
I've also run into a few issues when moving scripts from VS Code to Deepnote. Even with the same Python version, some scripts that work perfectly in VS Code throw errors in Deepnote, which means I have to spend extra time debugging. Because of that, I’ve ended up relying on Deepnote more for testing just to avoid those additional time required.
I've also run into a few issues when moving scripts from VS Code to Deepnote. Even with the same Python version, some scripts that work perfectly in VS Code throw errors in Deepnote, which means I have to spend extra time debugging. Because of that, I’ve ended up relying on Deepnote more for testing just to avoid those additional time required.
What problems is the product solving and how is that benefiting you?
It helps me with two main things: scheduling and collaboration. I can set up scripts to run automatically without having to mess with more technical setups. And for collaboration, it’s been a game-changer — even non-technical teammates can run scripts or check out the work right in the notebook. It makes sharing and working together way easier and more efficient.
Good for new coder
What do you like best about the product?
Nice interface and easy to use for a person that isn’t a programmer
What do you dislike about the product?
Can’t really see all the codes when having parallele path
What problems is the product solving and how is that benefiting you?
Solving my problem
Fantastic
What do you like best about the product?
* Real-time collaboration: I love that my whole team can edit the same notebook together, see each other’s cursors live, and chat right in the interface.
* Cloud-based environment: No setup hassles—everything runs in the cloud, so I don’t have to worry about local Python installs or dependency conflicts.
* Cloud-based environment: No setup hassles—everything runs in the cloud, so I don’t have to worry about local Python installs or dependency conflicts.
What do you dislike about the product?
Occasional slow load times: Notebooks can take a while to start up, especially if the project has many dependencies.
What problems is the product solving and how is that benefiting you?
* With Python, SQL, and R all in the same workspace, our data science team doesn’t have to switch platforms depending on the task. That consistency boosts our productivity.
* Spinning up a powerful GPU instance for model training right from the UI means I’m not stuck with my local laptop’s specs—and I only pay for what I use.
* Spinning up a powerful GPU instance for model training right from the UI means I’m not stuck with my local laptop’s specs—and I only pay for what I use.
good NCLC analytics tool
What do you like best about the product?
the team did a great job building an efficient interface where "conversational" features are not over-shadowing everything else and it has still quite good "deterministic" part.
What do you dislike about the product?
Tbh I really liked the tool and I don't see any obvious bugs, fails etc. I think it is a SOTA. software for user-friendly data-analytics. Maybe offer in future releases some nicely designed package for interpreting/analyzing correlations etc.?
What problems is the product solving and how is that benefiting you?
It didn't really solve any of my problems as I usually use raw python/sql for solving my problems. But the tool could help less technical people to quickly interpret and analyze data which I think is a big win
Powerful Easy to Use Notebook Environment
What do you like best about the product?
Deepnote is a genuinely useful application of AI in coding, in terms of predictive code suggestions I've never come across anything like it and the time it saves building out queries is exceptional. It was an easy set up and integration and it's an intuitive interface that doesn't take long to familiarise yourself with. The file structure makes it easy to quickly run ad hoc queries on once off data sets while the multiple integrations and project structure make bigger projects a breeze. Would quite literally now be lost without it.
What do you dislike about the product?
The only things I dislike really are smaller nitpicks rather than feature gaps. The menu to convert/duplicate code blocks is a little clunky and the "fix my code" AI is not as effective as the predictive piece.
What problems is the product solving and how is that benefiting you?
Within the analytics team it allows for collaborative working and we use it a lot for automation of weekly/monthly tasks
A Powerful and User-Friendly Tool for Daily Data Work
What do you like best about the product?
What I like most about Deepnote is that it feels like a supercharged version of Jupyter Notebooks. I use it daily at work to automate processes, connect to APIs, generate reports, and trigger actions. It’s very intuitive and user-friendly, even compared to other tools like Colab or Jupyter Lab. The built-in data visualizations are powerful and make analysis much easier. It was very easy to get started with—no complex setup or configuration was needed, so the ease of implementation was excellent. Everything just worked right out of the box.
On the few occasions I needed help, the customer support was responsive and helpful. Their team showed a great attitude and helped me resolve the issue quickly.
On the few occasions I needed help, the customer support was responsive and helpful. Their team showed a great attitude and helped me resolve the issue quickly.
What do you dislike about the product?
Overall, I’m very satisfied and haven’t had major issues. I did run into some difficulty integrating Google Sheets directly, but it was likely due to a lack of documentation or research on my part. I worked around it using the Google API. Also, while I don’t use the collaboration features much, they could be useful for team-based projects.
What problems is the product solving and how is that benefiting you?
Deepnote simplifies the process of developing and running Python-based workflows in the cloud without having to worry about local setup or infrastructure. It helps me stay productive by keeping my scripts, visualizations, and notes all in one place. This saves me time, reduces context switching, and makes it easier to track and reproduce my work. Its ability to handle API connections, data processing, and reporting in an integrated, notebook-style environment has streamlined many of my daily tasks.
Product Efficiency and Productivity
What do you like best about the product?
It efficiency feature. It make very easy to maintain ETL pipeline and share the projects with others.
What do you dislike about the product?
Sometime it takes too much time to run the scripts.
What problems is the product solving and how is that benefiting you?
It make the result of project very easy to share. I also use it for ETL purpose.
Deepnote is a game changer
What do you like best about the product?
The cloud based infrastructure allows our data science team to get answers much more quickly and collaborate much more effectively. As a sponsor of the technology, I highly recommend it
What do you dislike about the product?
There is not much room for improvement. Speed enhancements are always welcome
What problems is the product solving and how is that benefiting you?
Deepnote allows us to analyse our data much more effectively
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