Jupyter Alternatives

What is Jupyter?

Jupyter is a notebook which can be used to take notes. It is an open-source application that can easily run on the web. The app has been developed for data scientists to create different types of documents and share them with others. The documents can include equations, codes, and other stuff. You can show the data of your team in the form of links, codes, images, and their combination.

Why Jupyter Alternatives?

• Code versioning feature is not available

• The performance of the app is slow

• Not a secure app

• No IDE integration is available

• Long asynchronous tasks are hard to test

How to Choose a Jupyter Alternative?

Jupyter has many advantages and some of them are listed here −

• It is an open-source platform

• Notebooks can be converted into various formats like PDF and HTML

• Files can be stored in structured JSON format which helps in sharing them easily

• The app is platform-independent

Top 10 Jupyter Alternatives

There are many Jupyter alternatives and some of them listed here are discussed in detail −

• Noteable

• Visual Studio Code

• Saturn Cloud

• PyCharm

• GitDuck

• Deepnote

• Apache Zeppelin

• Kaggle

• CoCalc

• RapidMiner

Alternative 1 – Noteable

Noteable is considered as the number one alternative to Jupyter. The tool can be used by professionals working in the field of data science and machine learning. This is a cloud-based app which can help users to collaborate with each other. The app can be used for free by individual users but for businesses, there are many paid plans.

Alternative 2 – Visual Studio Code

Visual Studio Code is an open-source IDE which programmers can use to execute their codes. The app can be used for different things like

• Customizable extensions

• GIT integration

• Code debugging

The combination of Jupyter and VS Code helped VS Code users to create notebooks to analyze data.

Alternative 3 – Saturn Cloud

Saturn Cloud is a cloud platform and is one of the best alternatives to Jupyter. Saturn Cloud is a data science platform which can be used by beginners as well as experienced data science professionals. You can use the platform to access computing resources, that come with power and a customizable amount of memory. Saturn Cloud helps programmers to work on the desired programming language and can use machine learning libraries and IDEs.

Alternative 4 – PyCharm

PyCharm is an alternative to Jupyter that provides support to the Python language. Besides Python, it also supports SQL queries and other database languages. PyCharm has also the ability to use Numpy and Matplotlib libraries. Web development with languages like HTML, CSS, and JavaScript is also possible along with other such languages.

Alternative 5 – GitDuck

GitDuck is a collaboration tool which can be used by remote teams to work together and conduct live coding. This is a video chat tool and can be used to integrate directly with the integrated development environment. Developers can talk with each other while writing their code and executing it. The application can be used for free.

Alternative 6 – Deepnote

Deepnote is another cloud-based platform which is a great alternative to Jupyter. It can be used for editing and collaboration. Many programming languages are available here in which users can write their codes and execute them. Text, visualizations, and equations can also be written in a single document.

Alternative 7 – Apache Zeppelin

Apache Zeppelin is a web-based notebook which can be used for team collaboration through the web. The notebooks created on this platform can be used for data analysis. The notebooks created here can be used for the whole lifecycle of data science. Multiple programming languages are supported by this platform and they include Python, R, SQL, and many more.

Alternative 8 – Kaggle

Kaggle is a great competitor of Jupyter and provides free service which is popular as kernels. Users can create a dataset and then upload it on the platform Through their system. Another Kaggle service will host the dataset. Datasets can be made private or public. Any of your kernels can access these datasets.

Alternative 9 – CoCalc

CoCalc is a cloud-based platform which can be used by small and big teams for collaboration and also as an alternative to Jupyter. Many of its features are similar to Jupyter and some more features are also available. Support for Python, Julia, R, and many other programming languages are available on this platform. Computer algebra systems and LaTeX support is also available.

Alternative 10 – RapidMiner

RapidMiner is another platform which can be a good alternative to Jupyter. This is a data mining and data science platform which also provides the facility of automation for people who do not have any experience and coding. The app comes with a drag-and-drop designer and an integrated development environment.

Conclusion

Jupyter is a notebook platform which can be used by data scientists to take notes related to coding and other things. The app does not have the feature of code versioning and its performance is slow. IDE integration is also not available due to which users look for Jupyter alternatives like Noteable, PyCharm, RapidMiner, and many more.