Deepnote
DeepnoteReviews from AWS customer
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Quick way to incentivate a no-tech team to start to code
What do you like best about the product?
The building blocks approach are very helpful, easy way to automatize small tasks to connect databases, transform and analyze data
What do you dislike about the product?
The IA tool is not very helpful, i prefer to use chat gpt or v0 to help me
What problems is the product solving and how is that benefiting you?
ETL for marketing: offline conversion tracking uploaded back to ads platforms. Lead scoring
DeepNote makes writing code very easy and has a lot of very cool bult-in tools
What do you like best about the product?
I really like how tables are displayed, the fact that you can select and order rows directly on the table. The AI tool to fix bugs is very useful as well.
What do you dislike about the product?
The autocomplete sometimes is quite annoying.
What problems is the product solving and how is that benefiting you?
I use it in place of writing code on a local notebook. It's extremely useful that you can share code with other people through the same platform.
The built-in tools make debugging very easy.
And finally I love the integrations, we can access our cloud, google excel and so on and it's very easy to set up and makes it safer than using a local notebook as there is no copy/pasting of credentials.
The built-in tools make debugging very easy.
And finally I love the integrations, we can access our cloud, google excel and so on and it's very easy to set up and makes it safer than using a local notebook as there is no copy/pasting of credentials.
Deepnote is a game changer
What do you like best about the product?
Everything is in one place: a data repository, notebooks, db-like interactions, integrations, and ai-assistance. All in the cloud! I love the tutorials and documentation as well.
What do you dislike about the product?
The auto-complete is not great yet. I'd love to see a cursor-like experience within the product
What problems is the product solving and how is that benefiting you?
I'm a Data Analyst in my day job, but have recently gotten into the freelance game. I love that I have a product that I can run all my projects through and easily control permissions as well. It's perfect for someone who works on multiple things, different projects and clients, etc.
Very Nice Product
What do you like best about the product?
Easy to use funcationality of deepnote took my heart.
What do you dislike about the product?
nothing as such. but there is always scope of improvement
What problems is the product solving and how is that benefiting you?
Deepnote is solving several key problems related to collaborative data science, reproducibility, and workflow efficiency. Here’s a breakdown of the problems it addresses and how that benefits users:
Problems Deepnote Solves
Lack of Real-Time Collaboration in Notebooks
Traditional Jupyter notebooks don’t support true real-time multi-user collaboration (like Google Docs).
Deepnote allows multiple users to edit, comment, and interact with the same notebook simultaneously.
Difficulty Managing Environments and Dependencies
Setting up and maintaining Python environments and dependencies is often a pain, especially for new users or across teams.
Deepnote provides pre-configured environments and makes it easy to install packages without Docker or local setup headaches.
Problems Deepnote Solves
Lack of Real-Time Collaboration in Notebooks
Traditional Jupyter notebooks don’t support true real-time multi-user collaboration (like Google Docs).
Deepnote allows multiple users to edit, comment, and interact with the same notebook simultaneously.
Difficulty Managing Environments and Dependencies
Setting up and maintaining Python environments and dependencies is often a pain, especially for new users or across teams.
Deepnote provides pre-configured environments and makes it easy to install packages without Docker or local setup headaches.
Great Tool for Analytics
What do you like best about the product?
It's the one stop for different tools like BI, Coding and Dashboards
What do you dislike about the product?
The integrations can be possibly better.
What problems is the product solving and how is that benefiting you?
One solution for many tools and it'a providing machines at cheaper costs.
Good all-around tool for data analysi
What do you like best about the product?
The AI integration, everything just works, switching between languages
What do you dislike about the product?
The collaboration can sometimes be a bit laggy, and the notebook can jump up and down which is a mild annoyance
What problems is the product solving and how is that benefiting you?
Highly customizable analytics and visualizations, deep dive analysis
Great A/B testing took
What do you like best about the product?
It’s a great way to keep track of the A/B tests that we run. There are also great visualization tools for us to help craft a story for stakeholders.
What do you dislike about the product?
I wish there was a stat sig indicator that helps determine when we have reached significance and move forward with the winner of our tests.
What problems is the product solving and how is that benefiting you?
Helping us run redirect landing page split tests.
The Modern, Collaborative Notebook I Didn't Know I Needed!
What do you like best about the product?
The UI is hands down one of Deepnote's strongest selling points. It's incredibly clean, modern, and intuitive. Navigating through projects, organizing notebooks, and even just the act of coding feels so much smoother and more aesthetically pleasing than traditional Jupyter setups or other web-based alternatives. It genuinely makes the development process more enjoyable.
What do you dislike about the product?
Honestly, it's challenging to find significant downsides. If I had to nitpick, perhaps for users coming from very customized local Jupyter setups with many obscure extensions, there might be a slight learning curve or a feature or two they miss initially.
What problems is the product solving and how is that benefiting you?
Deepnote is solving several key problems for us:
Collaboration Bottlenecks: Previously, sharing notebooks meant sending files back and forth, dealing with version conflicts, and struggling to merge changes. Deepnote's real-time collaboration eliminates this entirely, allowing for seamless teamwork and faster iteration.
Environment & Dependency Hell: Setting up consistent Python environments across a team can be a nightmare. Deepnote handles this beautifully, ensuring everyone is on the same page with libraries and configurations.
Clunky & Outdated Interfaces: Many notebook tools feel dated. Deepnote provides a modern, enjoyable workspace that boosts productivity simply by being pleasant to use.
Accessibility & Sharing: Being cloud-based, it's easy to access our work from anywhere and share interactive notebooks or even apps with stakeholders who may not be technical.
Collaboration Bottlenecks: Previously, sharing notebooks meant sending files back and forth, dealing with version conflicts, and struggling to merge changes. Deepnote's real-time collaboration eliminates this entirely, allowing for seamless teamwork and faster iteration.
Environment & Dependency Hell: Setting up consistent Python environments across a team can be a nightmare. Deepnote handles this beautifully, ensuring everyone is on the same page with libraries and configurations.
Clunky & Outdated Interfaces: Many notebook tools feel dated. Deepnote provides a modern, enjoyable workspace that boosts productivity simply by being pleasant to use.
Accessibility & Sharing: Being cloud-based, it's easy to access our work from anywhere and share interactive notebooks or even apps with stakeholders who may not be technical.
Data science notebook that keeps improving
What do you like best about the product?
The continuous and frequent feature addtions. This has enabled me to keep improving my data workflows.
What do you dislike about the product?
Setting up virtual environments can be made easier.
What problems is the product solving and how is that benefiting you?
1. Ease to share notebooks with internal stakeholders to do simulations and analysis.
2. Prototyping data products.
2. Prototyping data products.
Really good for notebook style analysis
What do you like best about the product?
The ability to do custom analysis in python. AI code completion is a really good addition.
What do you dislike about the product?
Building apps in deep note is clunky. The out of the box data visualisations need more variety and flexibility. Its pretty limited at the moment
What problems is the product solving and how is that benefiting you?
Deepnote helps in doing custom notebook style analysis where you need a bigger compute power. So the ability to scale up and scale down machines has been really helpful in working with big data.
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