Managed Jupyter Notebook Hosting

Choose the Jupyter Notebook Hosting Plans

One-click upgrade or downgrade Jupyter Notebook cloud hosting plans to fit your business needs.

Express Plan for Jupyter Notebook™
Join Membership $1.25/month
Starting at $ 4.99/month
  • 2 CPU Cores
  • 2GB Memory
  • 60GB SSD Disk
  • 60GB SATA Backup Storage
  • Monthly : $6.99/month
  • Semi-Annually : $6.49/month
  • Annually : $5.99/month
  • Biennially : $4.99/month
  • Unmetered Bandwidth
  • Weekly Backup
  • On-Demand Backup
  • 24/7 Technical Support
Basic Plan for Jupyter Notebook™
Join Membership $2.25/month
Starting at $ 8.99/month
  • 3 CPU Cores
  • 4GB Memory
  • 100GB SSD Disk
  • 100GB SATA Backup Storage
  • Monthly : $12.99/month
  • Semi-Annually : $11.99/month
  • Annually : $10.99/month
  • Biennially : $8.99/month
  • Unmetered Bandwidth
  • Twice per Week Backup
  • On-Demand Backup
  • 24/7 Technical Support
Professional Plan for Jupyter Notebook™
Join Membership $4.00/month
Starting at $ 15.99/month
  • 4 CPU Cores
  • 8GB Memory
  • 160GB SSD Disk
  • 160GB SATA Backup Storage
  • Monthly : $23.99/month
  • Semi-Annually : $21.99/month
  • Annually : $19.99/month
  • Biennially : $15.99/month
  • Unmetered Bandwidth
  • Three Times per Week Backup
  • On-Demand Backup
  • 24/7 Technical Support
Advanced Plan for Jupyter Notebook™
Join Membership $8.00/month
Starting at $ 31.99/month
  • 6 CPU Cores
  • 16GB Memory
  • 240GB SSD Disk
  • 240GB SATA Backup Storage
  • Monthly : $43.99/month
  • Semi-Annually : $40.99/month
  • Annually : $37.99/month
  • Biennially : $31.99/month
  • Unmetered Bandwidth
  • Daily Backup
  • On-Demand Backup
  • 24/7 Technical Support

Features of All Jupyter Notebook Hosting Plans

Platform Features

Orchestrator

Kubernetes

Operating System for Managed Jupyter Notebook

Ubuntu 18.04 LTS

Container Runtime

Docker

SSL Connection for Jupyter Notebook on Kubernetes

Instance for Jupyter Notebook on Kubernetes

Dedicated

Support Features

Management Features

Optional Addons

Technical Questions about Cloud Hosting for Jupyter Notebook

Advantages of Jupyter Notebook

Exploratory Data Analysis
Exploratory Data Analysis

Jupyter Notebook allows users to view the results of the code in-line without the dependency of other parts of the code. In the notebook, every cell of the code can be potentially checked at any time to draw an output. This make Jupyter Notebook extremely useful for exploratory data analysis (EDA) process.

Easy Caching In Built-In Cell
Easy Caching In Built-In Cell

Maintaining the state of execution of each cell is difficult, but with Jupyter Notebook, this work is done automatically. Jupyter caches the results of every cell that is running — whether it is a code that is training an ML model or a code that is downloading gigabytes of data from a remote server.

Language Independent
Language Independent

Because of its representation in JSON format, Jupyter Notebook is platform-independent as well as language-independent. Another reason is that Jupyter can be processed by any several languages, and can be converted to any file formats such as Markdown, HTML, PDF, and others.

Data Visualisation
Data Visualisation

As a component, the shared Jupyter Notebook supports visualisations and includes rendering some of the data sets like graphics and charts, which are generated from codes with the help of modules like Matplotlib, Plotly, or Bokeh. Jupyter lets the users narrate visualisations, alongside share the code and data sets, enabling others for interactive changes.

Get Started with Jupyter Notebook in Minutes

Learn Python with Jupyter Notebook from Scratch
This introductory beginners course will talk about the basics of Python and Jupyter notebook. You'll learn: How to install Jupyter Notebook, How to run the Jupyter Notebook Server, Common Jupyter Commands, Python Expressions, Python Statements, Python Variables, Python Data Types, Python Operators, Python Loops, Python Functions, Jupyter Components, Notebook Dashboard, Explore Notebook Interface, ....

Managed Jupyter Notebook Hosting on Kubernetes Cloud

Cloud hosting enables applications and websites to be accessed using cloud resources. Unlike traditional hosting, the solution is not deployed on a single server. On the contrary, a network composed of connected virtual and physical cloud servers carries applications or websites, ensuring greater flexibility and scalability. The cloud Jupyter Notebook hosting platform is a cluster of powerful servers that tolerates a single point of hardware failures and increases loads, guaranteeing a high uptime.