Top alternatives to Deepnote

The free version of the Deep note enables you to share the notebook up to three other team members.

Deepnote is a data science notebook mainly focused on real-time collaboration and zero setups, and is completely cloud-based. It promises real-time collaboration where the team members can edit a shared notebook; it can be easily integrated with interface options by giving essential details and connections. It also has an inbuilt data frame visualisation where the notebook intelligently recognises whenever you load a data frame and automatically produces a graph.

Although Deepnote comes with great advantages for data scientists, there are many alternatives too. Let’s take a look at a few:

Jupyter Notebook 


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JupyterLab is the latest web-based interactive development environment for notebooks, code, and data. The notebook is a web-based interactive computing platform that combines live code, equations, narrative text, visualisations, interactive dashboards and other media. Jupyter is an open-source tool with 7.29K GitHub stars and 3.02K GitHub forks. Here’s a link to GitHub, where you can find Jupyter’s open-source repository.

Apache Zeppelin

A web-based notebook facilitates interactive data analytics where you can create data-driven, interactive and collaborative documents with SQL, Scala and more. It is an open-source tool with 5.6K GitHub stars and 2.6K GitHub forks. Here’s a link to Apache Zeppelin’s open-source repository on GitHub.

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SageMath is a free, open-source mathematics software system under the GPL. It can be built on top of existing open-source packages like NumPy, SciPy, matplotlib, SymPy, Maxima, GAP, FLINT, R and many more. It can be accessed with the combined power through a common, Python-based language or directly via interfaces or wrappers. Here’s a link to SageMath’s open-source repository on GitHub. 


Polynote is an experimental polyglot notebook environment. Currently, it supports Scala and Python (with or without Spark), SQL, and Vega. It  supports multiple languages in one notebook and facilitates sharing of data seamlessly. It also supports reproducible notebooks with its immutable data model.


Observable is a web-based platform that brings code, data, context and teams together, live. It is quick with templates or from the many examples created by our community and designed for D3, Vega_Lite, and Observable Plot. In addition, observables provide support for passing messages between parts of the application. They are used in Angular and are a technique for event handling, asynchronous programming, and handling multiple values. 


It is the quickest way to visualise some data with interactivity, do some prototyping, or build a rudimentary dashboard. Starboard is a tool in a tech stack’s Data Science Notebooks category. It is an open-source tool with 819 GitHub stars and 61 GitHub forks. Here’s a link to Starboard’s open-source repository on GitHub.

JetBrains Datalore

JetBrains Datalore uses smart coding assistance for Python in Jupyter notebooks, runs code on powerful CPUs and GPUs, and collaborates with your team in real-time, which can help easily share the results. It starts working in seconds with a pre-setup environment and intelligent code editor. The user can share work with a link and invite the team to collaborate. It has basic machines and limited features for beginner data scientists and analysts and also powerful machines and unlimited features for advanced data scientists and analysts. 

Dataiku DSS

Dataiku brings data analysts, engineers, and scientists together, enabling self-service analytics and operationalising machine learning. Dataiku DSS is a data science software platform for a team of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products. Use notebooks (Python, R, Spark, Scala, Hive, etc.) or a customisable drag-and-drop visual interface at any step of the predictive data flow prototyping process – from wrangling to analysis to modelling. 


Looker is a big data analytics platform that helps you easily explore, analyse, and share real-time business analytics. It supports a discovery-driven culture throughout the organisation; it is a web-based data discovery platform that provides data analysts with the power and finesse required while empowering business users to find their answers.

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Poornima Nataraj
Poornima Nataraj has worked in the mainstream media as a journalist for 12 years, she is always eager to learn anything new and evolving. Witnessing a revolution in the world of Analytics, she thinks she is in the right place at the right time.

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