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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
SigmaPlot stands out with its award-winning interface and user-friendly wizard technology, which leads users through the graph creation and data analysis process in a systematic manner, offering a level of flexibility that surpasses what basic spreadsheet software can provide. The updated Graph Properties user interface allows users to choose a property category from the left panel, effortlessly adjusting settings on the right, with changes being visualized in real-time on the graph. As you navigate away from the panel, the interface becomes transparent, enabling you to immediately observe the impact of your edits without having to exit the current view. This efficient “select left and change right” methodology streamlines the graph editing process, making it both quick and straightforward. SigmaPlot elevates your capabilities beyond mere spreadsheets, allowing for clear and precise presentations of your work. Additionally, this software enables the production of high-quality graphs without requiring excessive time spent in front of a computer. Moreover, SigmaPlot's seamless integration with Microsoft Office® ensures that users can easily retrieve and utilize their data.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$399.00/one-time/user
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
Two Sigma Open Source
Website
BeakerNotebook.com
Vendor Details
Company Name
Systat Software
Founded
2001
Country
United States
Website
systatsoftware.com/sigmaplot/
Product Features
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
