Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]

1

Jupyter

Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).

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

2

Deepnote

Deepnote is a cloud-based data science notebook platform comparable to Jupyter Notebooks but with a focus on real-time collaboration and editing. It lets users write and run code in several programming languages, as well as include text, equations, and visualizations in a single document.

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

3

Kaggle Notebooks

Kaggle Notebooks is a cloud-based notebook platform for data science and machine learning enthusiasts. It provides access to hardware resources for running machine learning and deep learning models (think GPUs and TPUs).

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

4

Microsoft Azure Notebooks

Microsoft Azure Notebooks is a cloud-based platform for data science projects and machine learning. It gives you access to hardware resources for running machine learning and deep learning models, as well as other useful features, such as integration with Microsoft Azure Storage, Git support, 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

5

Databricks

Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.

#Data Science #Data Dashboard #Database Tools 17 social mentions

6

CoCalc

CoCalc (previously called SageMathCloud) is a cloud-based collaborative platform that includes many of the same features as Jupyter Notebooks as well as a number of new ones.

#Mathematics #Python IDE #LaTeX 27 social mentions

7

Visual Studio Code

Previously, VS Code was more suited to developers or engineers due to its lack of data analysis capabilities, but since 2020, the VS Code team has collaborated with the Jupyter team to create an integrated notebook within VS Code. The end result is a fantastic IDE workbook for data analysis.

#Text Editors #IDE #Software Development 1008 social mentions

8

nteract

Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).

#Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 4 social mentions

9

JupyterLite

#Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 1 social mentions

10

Colaboratory

Google Colaboratory (known as Colab) is a browser-based notebook created by the Google team. The environment is based on the Jupyter Notebook environment, so it will be recognizable to those of you who are already familiar with Jupyter.

#Development #Education & Reference #Education 208 social mentions

11

Datalore

One of JetBrains Datalore’s advantages is its interaction with the JetBrains ecosystem of tools, which includes IDEs like PyCharm and IntelliJ. That’s also why the tool is primarily aimed at ecosystem users.

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