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Average Ratings 0 Ratings

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ease
features
design
support

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Description

BeakerX is an extensive suite of kernels and enhancements designed for the Jupyter interactive computing platform. It offers support for the JVM, Spark clusters, and polyglot programming, alongside features like interactive visualizations, tables, forms, and publishing capabilities. Each of BeakerX's supported JVM languages, in addition to Python and JavaScript, is equipped with APIs for generating interactive time-series, scatter plots, histograms, heatmaps, and treemaps. The interactive widgets retain their functionality in both saved notebooks and those shared online, featuring specialized tools for managing large datasets, nanosecond precision, zooming capabilities, and export options. Additionally, BeakerX's table widget seamlessly integrates with pandas data frames, enabling users to easily search, sort, drag, filter, format, select, graph, hide, pin, and export data to CSV or clipboard, facilitating quick connections to spreadsheets. Furthermore, BeakerX includes a Spark magic interface, complete with graphical user interfaces for managing configuration, monitoring status and progress, and interrupting Spark jobs, allowing users the flexibility to either utilize the GUI or programmatically create their own SparkSession. In this way, it significantly enhances the efficiency and usability of data processing and analysis tasks within the Jupyter environment.

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 
JetBrains DataSpell No 
Jupyter Notebook No 
JupyterLab No 
NeevCloud No 
OpenHexa No 
Quantinuum Nexus No 
Timbr.ai No 
Train in Data No 
Vast.ai No 
Wizata No 

Integrations

Azure Marketplace Yes 
Cleanlab Yes 
Coiled Yes 
DataOps.live Yes 
JetBrains DataSpell Yes 
Jupyter Notebook Yes 
JupyterLab Yes 
NeevCloud Yes 
OpenHexa Yes 
Quantinuum Nexus Yes 
Timbr.ai Yes 
Train in Data Yes 
Vast.ai Yes 
Wizata Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

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

Types of Training

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

Vendor Details

Company Name

Two Sigma Open Source

Website

BeakerNotebook.com

Vendor Details

Company Name

JupyterHub

Founded

2014

Website

github.com/jupyterhub/jupyterhub

Product Features

Application Development

Access Controls/Permissions Yes 
Code Assistance No 
Code Refactoring Yes 
Collaboration Tools Yes 
Compatibility Testing Yes 
Data Modeling Yes 
Debugging No 
Deployment Management Yes 
Graphical User Interface Yes 
Mobile Development No 
No-Code Yes 
Reporting/Analytics Yes 
Software Development Yes 
Source Control Yes 
Testing Management No 
Version Control No 
Web App Development No 

Product Features

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