Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Windsurf Editor Reviews & Ratings
    155 Ratings
    Company Website
  • Windocks Reviews & Ratings
    7 Ratings
    Company Website
  • JDisc Discovery Reviews & Ratings
    27 Ratings
    Company Website
  • DbVisualizer Reviews & Ratings
    523 Ratings
    Company Website
  • CirrusPrint Reviews & Ratings
    2 Ratings
    Company Website
  • JS7 JobScheduler Reviews & Ratings
    1 Rating
    Company Website
  • 3CX Reviews & Ratings
    1,183 Ratings
    Company Website
  • ManageEngine Endpoint Central Reviews & Ratings
    2,456 Ratings
    Company Website
  • PBRS Power BI Reports Distribution Reviews & Ratings
    12 Ratings
    Company Website
  • Airlock Digital Reviews & Ratings
    35 Ratings
    Company Website

What is JupyterHub?

JupyterHub is a powerful tool that enables the creation of a multi-user environment, allowing for the spawning, management, and proxying of multiple instances of Jupyter notebook servers. Created by Project Jupyter, it is specifically tailored to support numerous users at once. This platform serves a wide array of functions, making it suitable for educational settings, corporate data science teams, collaborative scientific research endeavors, or groups that utilize high-performance computing resources. However, it's essential to highlight that JupyterHub does not officially support Windows operating systems. While some users may attempt to run JupyterHub on Windows using compatible Spawners and Authenticators, the default settings are not optimized for such an environment. Additionally, any issues encountered on Windows will not receive support, and the testing framework is not designed to work on Windows platforms. Minor patches that could potentially address basic compatibility issues on Windows are infrequent and not guaranteed. Consequently, for those using Windows, it is recommended to operate JupyterHub within a Docker container or a Linux virtual machine, as this ensures better performance and compatibility. This strategy not only improves functionality but also streamlines the installation process, making it easier for Windows users to access the benefits of JupyterHub. Ultimately, adopting this method can lead to a more seamless user experience.

What is Illumina Connected Analytics?

Effectively manage, store, and collaborate on multi-omic datasets with ease. The Illumina Connected Analytics platform provides a secure environment for genomic data, enabling the operationalization of informatics and the extraction of valuable scientific insights. Users have the convenience of importing, creating, and modifying workflows using tools like CWL and Nextflow. The platform integrates DRAGEN bioinformatics pipelines, which enhance data processing capabilities. You can securely organize your data within a protected workspace that allows for global sharing while adhering to compliance standards. Retain your data on your own cloud infrastructure while taking advantage of our powerful platform. A versatile analysis environment, including JupyterLab Notebooks, is available for visualizing and interpreting your data effectively. With a scalable data warehouse, you can aggregate, query, and analyze both sample and population data, adapting to your growing needs. By constructing, validating, automating, and deploying informatics pipelines efficiently, you can significantly reduce the time required for genomic data analysis, which is crucial when rapid results are necessary. Additionally, the platform offers extensive profiling capabilities to discover novel drug targets and pinpoint biomarkers for drug response. Lastly, you can seamlessly integrate data from Illumina sequencing systems, ensuring a smooth and efficient workflow experience while optimizing your research outcomes. This comprehensive approach not only enhances productivity but also fosters collaboration among researchers.

Media

Media

Integrations Supported

JupyterLab
Amazon S3
Azure Marketplace
Cleanlab
Coiled
DataOps.live
Docker
Illumina DRAGEN Secondary Analysis
JetBrains DataSpell
Jupyter Notebook
Kite
NeevCloud
Nextflow
OpenHexa
Quantinuum Nexus
Timbr.ai
Train in Data
Vast.ai
Wizata

Integrations Supported

JupyterLab
Amazon S3
Azure Marketplace
Cleanlab
Coiled
DataOps.live
Docker
Illumina DRAGEN Secondary Analysis
JetBrains DataSpell
Jupyter Notebook
Kite
NeevCloud
Nextflow
OpenHexa
Quantinuum Nexus
Timbr.ai
Train in Data
Vast.ai
Wizata

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

JupyterHub

Date Founded

2014

Company Website

github.com/jupyterhub/jupyterhub

Company Facts

Organization Name

Illumina

Company Location

United States

Company Website

www.illumina.com/products/by-type/informatics-products/connected-analytics.html

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

Quantinuum Nexus Reviews & Ratings

Quantinuum Nexus

Quantinuum
GenomeStudio Reviews & Ratings

GenomeStudio

Illumina