12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing

1

Jupyter

Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.

#Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 205 social mentions

2

Noteable.io

#Data Dashboard #Business Intelligence #Diagrams 1 social mentions

3

Colaboratory

Microsoft Azure Notebooks is a cloud-based platform for data science projects and machine learning that is similar to Google Colab and Kaggle Notebooks. It provides access to powerful hardware resources, including GPUs and TPUs, for running machine learning and deep learning models, as well as a number of other useful features, such as integration with Microsoft Azure Storage, support for version control with Git, and the ability to easily share and collaborate on notebooks with other team members.

#Development #Education & Reference #Education 208 social mentions

4

Kaggle Notebooks

Kaggle Notebooks is a cloud-based notebook alternative platform for data science enthusiasts and machine learning. Like Google Colab, Kaggle Notebooks offers powerful hardware resources, including GPUs and TPUs, for running machine learning and deep learning models. It also offers a number of other useful features, such as integration with the Kaggle API, support for version control with Git, and the ability to easily share and collaborate on notebooks with team members.

#Data Science And Machine Learning #Data Science Tools #Data Science IDE

5

Microsoft Azure Notebooks

Microsoft Azure Notebooks is a cloud-based platform for data science projects and machine learning that is similar to Google Colab and Kaggle Notebooks. It provides access to powerful hardware resources, including GPUs and TPUs, for running machine learning and deep learning models, as well as a number of other useful features, such as integration with Microsoft Azure Storage, support for version control with Git, and the ability to easily share and collaborate on notebooks with other team members.

#Data Science And Machine Learning #Data Science Tools #Data Science Notebooks

6

CoCalc

CoCalc (formerly known as SageMathCloud) is a cloud-based platform for collaborative computing that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It supports a wide variety of programming languages, including Python, R, and Julia, and provides access to powerful hardware resources, including GPUs. In addition to its core features, CoCalc also offers support for LaTeX and computer algebra systems, making it a good choice for users who need these capabilities.

#Mathematics #Python IDE #LaTeX 27 social mentions

7

Datalore

JetBrains Datalore is a cloud-based data science platform that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It supports a wide variety of programming languages, including Python, R, and SQL, and provides access to powerful hardware resources, including GPUs. One of the main advantages of JetBrains Datalore is its integration with the JetBrains ecosystem of tools, which includes IDEs such as PyCharm and IntelliJ.

#Machine Learning #Machine Learning Tools #Data Science IDE 10 social mentions

8

Deepnote

Deepnote is a cloud-based, data science notebook platform that is similar to Jupyter Notebooks, but with a focus on collaboration and real-time editing. It allows users to write and execute code in a variety of programming languages, as well as include text, equations, and visualizations in a single document. Deepnote also has a built-in code editor and supports a wide range of libraries and frameworks, including TensorFlow and PyTorch.

#Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 32 social mentions

9

Hex

Hex is a cloud-based platform for data science that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It supports a wide variety of programming languages, including Python, R, and Julia, and provides access to powerful hardware resources, including GPUs. Hex also has a built-in code editor and supports a wide range of libraries.

#Application And Data #Libraries #Data Science Tools 5 social mentions

10

Nextjournal

Nextjournal is a cloud-based platform for scientific computing and data science that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It supports Python, R, and Julia, and provides powerful hardware resources, including GPUs.

#Research Tools #Information Organization #Data Science And Machine Learning 4 social mentions

11

Paperspace Gradient

Paperspace Gradient is a cloud-based platform for data science and machine learning that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It provides powerful hardware resources, including GPUs, and supports Python, R, and Julia.

#Data Science And Machine Learning #App Deployment #AI 1 social mentions

12

Apache Zeppelin

Apache Zeppelin is an open-source platform for data science and analytics that is similar to Jupyter Notebooks. It allows users to write and execute code in a variety of programming languages, as well as include text, equations, and visualizations in a single document. Apache Zeppelin also has a built-in code editor and supports a wide range of libraries and frameworks, including TensorFlow and PyTorch.

#Data Science And Machine Learning #Data Science Tools #Office & Productivity 7 social mentions

13

Count.co

Count.co also has a built-in code editor and supports a wide range of libraries and frameworks, including TensorFlow and PyTorch. One of the main advantages of Count.co is its focus on collaboration, which allows users to easily share and collaborate on notebooks with other users.

#Business Intelligence #Data Science Notebooks #SQL 5 social mentions