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Description
Clear Linux OS is a performance and security-focused open-source, rolling release distribution designed for customization and easy management, applicable from the Cloud to the Edge. It can function without any specific configurations, even on a generic host with a vacant /etc directory. Stateless systems distinctly separate the operating system's settings, individual system configurations, and user data stored on each machine. This design allows users to efficiently manage their personalized configurations in contrast to system-level settings. Clear Linux OS enhances performance across the entire stack, encompassing the platform, kernel, mathematical libraries, middleware, frameworks, and runtime components. Additionally, it features an automated tool that perpetually monitors for Common Vulnerabilities and Exposures (CVEs), ensuring they are promptly addressed. The clear distinction between User and System files not only simplifies customization but also facilitates easier management of the operating system's features and functionalities. As a result, users can enjoy a seamless experience while tailoring the system to their specific needs.
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.
API Access
Has API
API Access
Has API
Integrations
Azure Marketplace
Cleanlab
Coiled
DataOps.live
JetBrains DataSpell
Jupyter Notebook
JupyterLab
Kite
NeevCloud
NoPorts
Integrations
Azure Marketplace
Cleanlab
Coiled
DataOps.live
JetBrains DataSpell
Jupyter Notebook
JupyterLab
Kite
NeevCloud
NoPorts
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
Clear Linux Project
Website
clearlinux.org
Vendor Details
Company Name
JupyterHub
Founded
2014
Website
github.com/jupyterhub/jupyterhub