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Description
JupyterHub allows users to establish a multi-user environment that can spawn, manage, and proxy several instances of the individual Jupyter notebook server. Developed by Project Jupyter, JupyterHub is designed to cater to numerous users simultaneously. This platform can provide notebook servers for a variety of purposes, including educational environments for students, corporate data science teams, collaborative scientific research, or groups utilizing high-performance computing resources. It is important to note that JupyterHub does not officially support Windows operating systems. While it might be possible to run JupyterHub on Windows by utilizing compatible Spawners and Authenticators, the default configurations are not designed for this platform. Furthermore, any bugs reported on Windows will not be addressed, and the testing framework does not operate on Windows systems. Although minor patches to resolve basic Windows compatibility issues may be considered, they are rare. For users on Windows, it is advisable to run JupyterHub within a Docker container or a Linux virtual machine to ensure optimal performance and compatibility. This approach not only enhances functionality but also simplifies the installation process for Windows users.
Description
Scientific Linux, a project backed by Fermilab, primarily serves the High Energy and High Intensity Physics community, although its user base extends across various industries globally, and occasionally into space. This operating system is essentially a rebuild of Red Hat Enterprise Linux, which is owned by Red Hat Inc (NYSE:RHT), and is often referred to as “The Upstream Vendor” or “TUV” within our communications. By using the term TUV, we emphasize that Scientific Linux operates independently and is neither formally associated with nor endorsed by the upstream entity, thereby clarifying this important distinction. Designed to provide a stable, scalable, and extensible platform, Scientific Linux supports scientific research by offering methodologies that facilitate the integration of scientific applications with their operating environment. The initiative encourages the free exchange of ideas, designs, and implementations, all aimed at establishing a robust computing platform for future advancements in technology. Ultimately, this collaborative effort strives to foster innovation in scientific computing, paving the way for breakthroughs that can benefit a diverse range of fields.
API Access
Has API
API Access
Has API
Integrations
Azure Marketplace
Cleanlab
Coiled
DataOps.live
JetBrains DataSpell
Jupyter Notebook
JupyterLab
Kite
NeevCloud
OpenHexa
Integrations
Azure Marketplace
Cleanlab
Coiled
DataOps.live
JetBrains DataSpell
Jupyter Notebook
JupyterLab
Kite
NeevCloud
OpenHexa
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
JupyterHub
Founded
2014
Website
github.com/jupyterhub/jupyterhub
Vendor Details
Company Name
Scientific Linux
Founded
1991
Website
scientificlinux.org/about/
