Deepnote Reviews & Product Details

It's very easy to get started with Deepnote, and the environment is very comfortable if you like notebooks. In many ways it reminds me of JupyterLab but with a modern and enterprise feel. You can have multiple notebooks per project (something competitors don't allow) and it is extremely easy to deploy a dashboard or report with a few clicks.

The AI features are very handy and speed up the low value work of typing syntax correctly. Review collected by and hosted on G2.com.

Data apps could be improved somewhat. It's hard to pinpoint but there are some improvements to be made on the responsiveness of the apps and the overall look. Review collected by and hosted on G2.com.

AI works in tandem with the code execution environment. Review collected by and hosted on G2.com.

There is no such thing - I like it very much. Review collected by and hosted on G2.com.

I love that my team doesn't need to be a python expert in order to take advantage of the benefits of programming efficiencies and insights. My data science team does all of the magic of building the tools, and Deepnote allows my analysts to just point and click to get the insights they need. Could not be easier to use. Review collected by and hosted on G2.com.

You do need to understand how to use python and variables in order to get Deepnote setup, but for most programmers the learning curve is small. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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). Review collected by and hosted on G2.com.

A quick and easy way to filter and review data. I’ve been using Deepnote daily for the past couple of weeks, adjusting parameters as needed to extract the most relevant datasets for my work. Review collected by and hosted on G2.com.

Nothing I can think about at the moment. Review collected by and hosted on G2.com.

The ability to export analyses from the app mode: once they are edited, you just have to press a button to launch them and retrieve the information you want. When you have no knowledge of coding, it's ideal. Review collected by and hosted on G2.com.

To my knowledge, no drawbacks, I use it to extract data, our data analyst has programmed everything in advance. Review collected by and hosted on G2.com.

My team uses Deepnote to track landing page test results, and the platform makes it super easy to pick out insights from the data provided Review collected by and hosted on G2.com.

I don't have any downsides! I think if we could see more charts and data visualizations, that would be great. Review collected by and hosted on G2.com.

Supports python,SQL, integrates with GitHub, snowflake, BigQuery..

It is ideal for classrooms, portfolio projects and teams.

No setup needed. Review collected by and hosted on G2.com.

There’s limited offline use.

Some features are behind a paywall Review collected by and hosted on G2.com.

Deepnote has a very easy implemantation; It's ease to use and very useful, with a good capacity to generate insights. Review collected by and hosted on G2.com.

Deepnote does not permit to create analysis based on previous datasets; It often hallucinates; It does not obey the instructions, ex: Mmake this analysis in SQL instead of python or generate just this KPI (often creates excessive useless analysis) Review collected by and hosted on G2.com.