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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

With just a few clicks, you can effortlessly deploy multiple ESB instances on the Integration Platform. You can also monitor and troubleshoot both singular instances and entire clusters through a centralized dashboard. The ESB instances run in lightweight Docker containers, enhancing resource efficiency and responsiveness compared to traditional virtual machines. Leveraging the robust Kubernetes framework, the platform quickly identifies and restarts any failed instances within seconds. You have the flexibility to scale computing power by adding or removing physical or virtual machines without affecting existing components. The IPS dashboard allows for streamlined management of ESB clusters, projects, configurations, and user permissions, alongside monitoring statistics and debugging instances. Additionally, you can integrate project-specific dashboards to effectively oversee and manage the platform and individual projects from one cohesive interface. This unified approach not only simplifies management but also enhances overall operational efficiency.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace No 
Cleanlab No 
Coiled No 
DataOps.live No 
Docker Yes 
JetBrains DataSpell No 
Jupyter Notebook No 
JupyterLab No 
Kubernetes Yes 
NeevCloud No 
OpenHexa No 
Quantinuum Nexus No 
Timbr.ai No 
Train in Data No 
UltraESB Yes 
Vast.ai No 
Wizata No 

Integrations

Azure Marketplace Yes 
Cleanlab Yes 
Coiled Yes 
DataOps.live Yes 
Docker No 
JetBrains DataSpell Yes 
Jupyter Notebook Yes 
JupyterLab Yes 
Kubernetes No 
NeevCloud Yes 
OpenHexa Yes 
Quantinuum Nexus Yes 
Timbr.ai Yes 
Train in Data Yes 
UltraESB No 
Vast.ai Yes 
Wizata Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

AdroitLogic

Founded

2010

Country

Sri Lanka

Website

www.adroitlogic.com/products/ips/

Vendor Details

Company Name

JupyterHub

Founded

2014

Website

github.com/jupyterhub/jupyterhub

Product Features

Enterprise Service Bus (ESB)

Data Source Connectors No 
Electronic Data Interchange (EDI) No 
Enterprise Application Integration No 
Enterprise Integration Patterns (EIP) No 
Integrations Management No 
Messaging No 

Product Features

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