Yandex Cloud
Search
Discuss with expertTry it for free
  • Customer Stories
  • Documentation
  • Blog
  • All Services
    • Cloud Interconnect
    • Cloud Backup
    • Cloud Registry
    • Yandex AI Studio
    • Compute Cloud
    • Object Storage
    • Managed Service for Kubernetes®
    • Yandex BareMetal
    • Smart Web Security
    • Security Deck
    • Managed Service for PostgreSQL
    • Managed Service for ClickHouse®
    • Monium
    • Cloud CDN
    • Network Load Balancer
    • Virtual Private Cloud
    • Cloud DNS
    • Application Load Balancer
    • Yandex Cloud Video
    • Stackland
    • Yandex Cloud Router
    • Yandex Managed Service for Trino
    • Managed Service for MySQL®
    • Managed Service for Valkey™
    • Managed Service for Apache Spark™
    • Yandex StoreDoc
    • Managed Service for OpenSearch
    • Managed Service for Apache Kafka®
    • Data Transfer
    • Yandex MPP Analytics Engine for PostgreSQL
    • Yandex Managed Service for Apache Airflow®
    • Data Processing
    • Yandex MetaData Hub
    • Managed Service for YDB
    • Managed Service for Sharded PostgreSQL
    • Managed Service for YTsaurus
    • Yandex WebSQL
    • DataLens
    • Yandex Search API
    • SpeechSense
    • SpeechKit
    • DataSphere
    • Vision OCR
    • Translate
    • Yandex Identity Hub
    • Key Management Service
    • Certificate Manager
    • Yandex Lockbox
    • Audit Trails
    • SmartCaptcha
    • Cloud Desktop
    • SourceCraft Code Assistant
    • Container Registry
    • Managed Service for GitLab
    • Managed Service for Prometheus®
    • Cloud Functions
    • API Gateway
    • Yandex Cloud Postbox
    • Message Queue
    • Serverless Integrations
    • IoT Core
    • Data Streams
    • Serverless Containers
    • Cloud Notification Service
    • Yandex Query
    • Identity and Access Management
    • Yandex Cloud Console
    • Resource Manager
    • Yandex Cloud Billing
    • Yandex Cloud Quota Manager
    • Cloud Apps
  • System Status
  • Marketplace
    • Featured
    • Infrastructure & Network
    • Data Platform
    • AI for business
    • Security
    • DevOps tools
    • Serverless
    • Monitoring & Resources
  • All Solutions
    • By industry
    • By use case
    • Economics and Pricing
    • Security
    • Technical Support
    • Start testing with double trial credits
    • Cloud credits to scale your IT product
    • Gateway to Russia
    • Cloud for Startups
    • Center for Technologies and Society
    • Yandex Cloud Partner program
    • Price calculator
    • Pricing plans
  • Customer Stories
  • Documentation
  • Blog
© 2026 Direct Cursus Technology L.L.C.
Yandex DataSphere
  • Getting started
    • All guides
      • Connecting to JupyterLab from a local IDE
      • Selecting computing resources
      • Checking GPU load
      • Getting a notebook ID
      • Installing packages
      • Notebook code snippets
      • Clearing notebook cell outputs
      • Working with Git
      • Setting up template-based notebook creation
    • Migrating a workflow to a new version
  • Terraform reference
  • Audit Trails events
  • Access management
  • Pricing policy
  • Public materials
  • Release notes
  1. Step-by-step guides
  2. DataSphere Notebook
  3. Setting up template-based notebook creation

Setting up template-based JupyterLab notebook creation

Written by
Yandex Cloud
Updated at August 15, 2025
View in Markdown

To create JupyterLab notebooks from a template, activate the JupyterLab-templates extension. To do this:

  1. Create a folder named datasphere-templates in the root directory of your project.

  2. In datasphere-templates, create a nested folder with any name, e.g., template-group-1. In this folder, create a template notebook with any name, e.g., template_notebook1.ipynb.

  3. You can create multiple templates for different use cases and group them in different folders.

    Here is a sample structure of the datasphere-templates folder used to store JupyterLab templates:

    datasphere-templates/
                         |
                         |_ template-group-1/
                         |                   |
                         |                   |_ template_notebook1.ipynb
                         |                   |_ template_notebook2.ipynb
                         |
                         |_ template-group-2/
                                             |
                                             |_ template_notebook3.ipynb
                                             |_ template_notebook4.ipynb
    
  4. Refresh your browser page.

  5. You will see the Template button under Notebook on the JupyterLab home page. Click it and select the folder and notebook.

Was the article helpful?

Previous
Working with Git
Next
Working with secrets
© 2026 Direct Cursus Technology L.L.C.