Deepnote Software Reviews

“Awesome tool for computational notebooks

Pros

The simplicity of using and integrating with external data sources, along with the rapid visualization features and the valuable autocomplete (offering complete repo context), makes Deepnote a go-to tool for my daily tasks.

Cons

I have not had any negative experience yet as I haven't been using it long enough.

“Simple Ui and easy setup make data analysis super simple

Pros

Ideal for startups managing large datasets on a budget, Deepnote offers a simple and intuitive UI that's easy for team members with limited technical backgrounds but still powerful enough for seasoned engineers. The setup process was smooth for our engineering team and it provides enterprise level features at an affordable price, which makes it perfect for growing teams.

Cons

While I don't have strong dislikes, there are a few areas with room for improvement. Multilingual support especially for Japanese, could be better, and I'm excited to see more advanced AI assistant features. These updates would make this already great platform even more valuable for international teams.

“Perfect platform for working together on data science

Pros

Deepnote enhances Jupyter notebooks by enabling multiple users to edit simultaneously, with added support for markdown, charts, SQL and integrations. The AI autocomplete feature adds a nice touch to the experience.

Cons

The collaboration process could be more real time. Right now, my teammates and I have to work in separate code blocks and if we both work in the same one, we overwrite each other's work. The AI autocomplete can also be a bit too quick for my preference.

“Faster, better, and way more user-friendly than Github Codespaces

Pros

As a non-engineer who enjoys automating repetitive tasks, I find it's AI incredibly helpful. It guides me through writing code and can fix errors quickly, making it easy to share the code for collaboration. The analysis is fast and simple to share with others.

Cons

Setting up as a non-admin user in my organization was a little challenging during onboarding.

“Strong system, and it's easy to use

Pros

Deepnote offers an impressive array of features and is easy to use once you're familiar with it. Their support team is also excellent when you need assistance.

Cons

If you're new to it, there's a bit of a learning curve at first so some initial training is required to get up to speed.

“Perfect tool for anyone starting out as a data scientist or engineer

Pros

The user interface is simple, and the AI-powered code generation feature is a standout.

Cons

So far, there's nothing I dislike about Deepnote after using it for 3 months.

“AI features are impressive, but big notebooks can be a bit slow

Pros

The integration between SQL and Python code is seamless and easy to work with.

Cons

The notebook environment tends to slow down with larger notebooks.

“Very Reliable and Easy to use

Pros

I switched from Jupyter Notebooks to Deepnote because its more userfriendly and convenient. The ability to integrate with various databases is effortless and the visualizations are top-notch.

Cons

It doesn't respond sometimes and I have to reload the page.

“Amazing and useful tool!

Pros

I've used Deepnote for data visualization and preparation projects, and I love its real-time collaboration and intuitive interface. While there's a slight lag with large datasets, I still enjoy using it and will continue to do so in the future. It's a really solid tool!

Cons

I've noticed some brief lags when working with large datasets (100k rows) but it's manageable.

“Real deal for collaborative notebooks

Pros

This platform is the best interactive notebook tool I've found. It enables real-time collaboration with a shared kernel, so people can prototype applications together. I can quickly build demo apps without needing to install anything on my laptop, great for hackathons too!

Cons

Sometimes it's a bit slow or the kernel crashes. The file management system can be unintuitive at first, making it hard to find the most recently updated notebooks.

“Perfect for setting up Jupyter notebooks

Pros

The interface is straightforward and everything is well explained, including things like virtual machines and their different kernels.

Cons

One downside is the lack of a desktop application.

“I'm really impressed so far

Pros

The AI features are far superior to Hex. With prompts, I can generate code that's usually 75% of the way to my goal for simple data analysis. I also appreciate the integrated SQL/Python environment and its seamless connection to BigQuery.

Cons

I'm still getting used to the UI and sometimes I struggle to figure out how to do certain things. I search the help docs but don't always find what I need. For instance, I couldn't find information about 2FA.

“Great service, but the web interface can be slow sometimes

Pros

Creating new projects in a Jupyter-like framework is incredibly simple and straightforward.

Cons

The CPU power seems a bit limited and it would be nice to have more RAM. Google Colab feels less laggy in comparison.

“Seamless and effective

Pros

Even without a developer background, I find the interface clear and easy to use. The pre-installed Python libraries are a real time saver and the debugging tools are also very handy.

Cons

When working with large datasets, the performance drops. Another inconvenience is that you always need to be online.

“AI-powered tools for non-analysts to dig into data

Pros

I'm not a data analyst and my programming skills are basic but the AI feature allows me to quickly test my hypotheses in an efficient manner.

Cons

Every time you turn the machine off, you have to re-run all the blocks.

“Awesome tool for exploring data

Pros

Deepnote has been a game-changer for our data team, helping us run explorations and build MVPs for different departments. With so many integrations, it's easy to pull and push data across tools. We've created 19 data apps in under six months, which has enabled us to provide self-serve analytics to our users.

Cons

It would be great to see integration with streaming data sources like Kafka, but aside from that, I don't have any complaints.

“Powerful, collaborative data science platform that integrates seamlessly

Pros

It really makes it effortless to gain insights from my data and share them with my team for consistent metrics.

Cons

Working with large datasets tends to cause lag, and while it's fine for now, I may need to explore other options as the company grows.

“Makes it easy to collaborate

Pros

Collaboration is easy with Deepnote. The AI support for setting up the environment is especially impressive.

Cons

The speed on the free plan is a bit slower but that's to be expected.

“The product is great, and the support & sales teams are amazing

Pros

The smooth UI, combined with a powerful feature set and a supportive team, makes it a great tool. It offers just the right functionality for testing and launching interactive data products with your team.

Cons

it could benefit from a larger community to expand the knowledge base and help answer questions from new users. For a product of its quality, I would expect to see more video content and social media showcasing what's possible on the platform and how to fully utilize its features.