Deepnote
DeepnoteReviews from AWS customer
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Deepnote is the Best Cloud Notebook
What do you like best about the product?
Deepnote gives us the ability to bring in data from multiple sources, automate notebook scheduling, write and review code with very helpful AI / LLM integration, install the Python packages that we already work with, and create applications to share our work across the organization.
What do you dislike about the product?
The only downside is that very large datasets can impact performance. They do have options to pay for more compute, if needed.
What problems is the product solving and how is that benefiting you?
Deepnote brings the power of Python based ML to a single application that can do everything from running scheduled jobs to presenting complex analysis with the ability to leverage visualization packages such as Plotly.
It is a good notebook AI data workspace
What do you like best about the product?
You'll be pleased to know that programming, running code, analyzing data, and developing ideas have never been easier.
What do you dislike about the product?
It stops frequently after 15 minutes and takes a while to start machine.
What problems is the product solving and how is that benefiting you?
Using Deepnote's Dockerfile makes it easy to create a Python environment without worrying about package installations. Additionally, it runs on their machine, eliminating the need to install anything locally.
Great experience!
What do you like best about the product?
I use Deepnote for my lab coding assignments, it's a great way to learn!
What do you dislike about the product?
So far I like all of it. Probably try to enhance the offline performance.
What problems is the product solving and how is that benefiting you?
I use Deepnote to learn machine learning algorithms
Good platform for collaborative coding
What do you like best about the product?
Deepnote is great for collaborative coding as a student as i am myself. It is very user firnedly and easy to use.
What do you dislike about the product?
Deepnote has some issues with showing figures and plots, which is a major issue. I see this has been an issue on and off for quite some time.
What problems is the product solving and how is that benefiting you?
Deepnote solves the issue of live coding, which e.g. Google Colab and other code-sharing services do not provide in a functional way.
Best Jupyter Notebook Experience
What do you like best about the product?
Deepnote makes it super easy to setup, host, run and collaborate on Jupyter Notebooks.
I have been using it almost every day as my primary IDE since it was in beta.
The integrations it provides are super convenient.
The AI implementation for code writting outperforms any other code AI I have used.
Deepnote's team is a bunch of really cool people. In all of the time I've been using it, I've never made a support request, but the team reached out with regular updates, stays in touch and are really genuine people who care about their users.
I have been using it almost every day as my primary IDE since it was in beta.
The integrations it provides are super convenient.
The AI implementation for code writting outperforms any other code AI I have used.
Deepnote's team is a bunch of really cool people. In all of the time I've been using it, I've never made a support request, but the team reached out with regular updates, stays in touch and are really genuine people who care about their users.
What do you dislike about the product?
I've been using Deepnote since it's creation and have no complaints.
What problems is the product solving and how is that benefiting you?
initially, I used Deepnote to simply host notebooks that our team could collaborate on in real-time.
As Deepnote has evolved, so has our usage.
I now use it as my primary IDE for data science and ML work.
We also use deepnote to host adminstrative tools for our multi-tenant applications that we host.
Publishing Deepnote apps has been great for provising our non-technical support staff with tools that are easily adapatable to interact with out application servers.
As Deepnote has evolved, so has our usage.
I now use it as my primary IDE for data science and ML work.
We also use deepnote to host adminstrative tools for our multi-tenant applications that we host.
Publishing Deepnote apps has been great for provising our non-technical support staff with tools that are easily adapatable to interact with out application servers.
Great tool for Python notebooks and data science
What do you like best about the product?
Deepnote provides a powerful platform to run your machine learning or any other sort of work you need to do with Python notebooks. I like how organized it is and how you can create links to specific parts of the notebook by using headings and mardown. It is also easy and intuitive to use.
What do you dislike about the product?
The only negative part I can think of is the lack of a dark mode and the current price for students.
What problems is the product solving and how is that benefiting you?
It solves the problems of organized Python notebooks and powerful platforms to run machine learnings algorithms.
Harnessing the Power of Collaboration: A Deep Dive into Deepnote's Innovative Notebook Platform
What do you like best about the product?
Deepnote shines with real-time collaborative features, allowing seamless teamwork on data science.
Its intuitive interface and broad integration capabilities make it accessible for newcomers while still powerful for experts.
The platform simplifies environment management and version control, streamlining project workflows. Moreover, Deepnote's support for interactive visualizations brings data to life, enhancing analysis and presentation.
Its intuitive interface and broad integration capabilities make it accessible for newcomers while still powerful for experts.
The platform simplifies environment management and version control, streamlining project workflows. Moreover, Deepnote's support for interactive visualizations brings data to life, enhancing analysis and presentation.
What do you dislike about the product?
Nothing, everything is excellent.
amazing tool
amazing tool
What problems is the product solving and how is that benefiting you?
Deepnote is primarily used for collaborative data science projects. It enables teams to analyze data, develop machine learning models, and create interactive data visualizations together.
It's also popular in educational contexts for teaching data science and programming.
The platform facilitates seamless report sharing and presentation, making it a versatile tool for data-driven insights and learning.
It's also popular in educational contexts for teaching data science and programming.
The platform facilitates seamless report sharing and presentation, making it a versatile tool for data-driven insights and learning.
Longtime Deepnote User - Teaching High School Python and It's Fabulous
What do you like best about the product?
The simple fact that it is a notebook platform is perfect for education, but beyond that is how Deepnote has extended its platform to make imports easy. My students and I LOVE the fact that the notebooks can be published as apps. The fact that you can add input using graphical components without having to code also is so useful. Lastly, the SQL integration (among many others), makes it very easy to teach students a querying language and the power it can bring to their apps. Basically, Deepnote make everything easy. I haven't had the chance to use their AI much, but I imagine that it too is fabulous. In 2021, I was put in contact with Elizabeth D. at Deepnote and she walked me through the product at that time and too copius notes about our use cases in education. A lot of the features we requested came to fruition. Lastly, the Education plan has been outstanding and we (fellow CS teachers) truly appreciate their commitment to education.
What do you dislike about the product?
Early on, Deepnote could be a little laggy. However, I'm sure that some of this was due to rapid growth. I don't see those problems anymore and there is constant improvement in speed as well as features.
What problems is the product solving and how is that benefiting you?
I teach a second and third level Python course and we have student and also sponsor an AI/ML club at school. From using Pandas, matplotlib, SQL, Deepnote allows my students to explore data with zero setup. Additionally, my AI/ML club uses Deepnote exclusively. Deepnote and notebooks in general are great for education. Deepnote abstracts away a lot of complexity for my students so we can focus on implementing the code.
Deepnote AI will be a torch bearer for the Industry 5.0
What do you like best about the product?
I was amazed seein the Deepnote AI programming of writing the codes, enhancing and auto correcting. what not everthing.
What do you dislike about the product?
SInce, i am a research scholar atleast they should allow us to use Deepnote AI for more days rather than 15 days trail. They should also sign MoU with universities and research organisations.
What problems is the product solving and how is that benefiting you?
Auto code generation and enhacement of the code. Friendly user and machine understanding
Effective Tool for Data Analysis/Science
What do you like best about the product?
Simple database integration, useful code suggestions, intuitive interface
What do you dislike about the product?
My only grievance is the lack of a debugging tool. Makes it difficult to find errors in larger notebooks
What problems is the product solving and how is that benefiting you?
An accesible, collaborative python notebook
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