Deepnote
DeepnoteReviews from AWS customer
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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
Many many use cases
What do you like best about the product?
Ever since my professor introduced us to Deepnote, it has completely revolutionized the way I approach data science projects. This collaborative platform is a game changer, blending the ease of Google Docs with the power of Jupyter notebooks. It's incredibly user-friendly, making real-time collaboration not just possible but seamless across various academic disciplines. Whether it’s integrating diverse data sources, managing environment dependencies, or creating interactive visualizations, Deepnote handles it all with ease. I've even introduced it to other courses, where it's equally effective in fostering a more interactive and productive learning environment. Its cloud-based nature means I can work from anywhere, anytime, which is a huge plus. In short, Deepnote is an invaluable tool for anyone looking to simplify and enhance their data science journey.
What do you dislike about the product?
The free machines arent so powerful from the start but what can you really expect
What problems is the product solving and how is that benefiting you?
Data access and integration can be cumbersome, but Deepnote’s easy integration with various databases and cloud services streamlines this process. It’s incredible how effortlessly we can connect to and manipulate data from multiple sources, which broadens the scope of our projects.
Great tool for collaboration and education
What do you like best about the product?
The diverse possibilities to create a workspace are fantastic. You can easily enter executable code as well as pictures or of course text paragraphs. I use it every other day, mostly for education and from time to time for my work as well.
It's also greatly enbedded in our university plattform and the possibility to collaborate is just great.
It's also greatly enbedded in our university plattform and the possibility to collaborate is just great.
What do you dislike about the product?
There could be more possibilites in terms of formatting.
What problems is the product solving and how is that benefiting you?
First of all to have a collaborative space. It benefits me and my colleagues in being able to work from abroad and collaborate on our projects.
I am a data science student, I love Deepnote, it is an excellent tool.
What do you like best about the product?
For notebooks with Python and an SQL database, Deepnote allows you to interact directly with queries from the notebook and work with the result as if it were a Pandas DataFrame.
What do you dislike about the product?
Sometimes we don't know something that is very useful, for example I didn't know that you could keep autocomplete suggestions in view by pressing 'Shift+Tab'.
What problems is the product solving and how is that benefiting you?
Deepnote is a webapp shareable with Jupyter Notebooks that has collaboration, integration and visualization functions that help me in my work as a Data Scientist.
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