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Description
The Synthetic Data Vault (SDV) is a comprehensive Python library crafted for generating synthetic tabular data with ease. It employs various machine learning techniques to capture and replicate the underlying patterns present in actual datasets, resulting in synthetic data that mirrors real-world scenarios. The SDV provides an array of models, including traditional statistical approaches like GaussianCopula and advanced deep learning techniques such as CTGAN. You can produce data for individual tables, interconnected tables, or even sequential datasets. Furthermore, it allows users to assess the synthetic data against real data using various metrics, facilitating a thorough comparison. The library includes diagnostic tools that generate quality reports to enhance understanding and identify potential issues. Users also have the flexibility to fine-tune data processing for better synthetic data quality, select from various anonymization techniques, and establish business rules through logical constraints. Synthetic data can be utilized as a substitute for real data to increase security, or as a complementary resource to augment existing datasets. Overall, the SDV serves as a holistic ecosystem for synthetic data models, evaluations, and metrics, making it an invaluable resource for data-driven projects. Additionally, its versatility ensures it meets a wide range of user needs in data generation and analysis.
Description
SILworX provides an intuitive user interface for programming and configuring HIMA's safety-related controllers while also facilitating error diagnostics. This streamlined process minimizes user mistakes and accelerates engineering, allowing for quicker commissioning of your safety system and immediate adaptation to evolving requirements. As a component of the HIMA Smart Safety Platform, the engineering tool adheres to current standards such as OPC UA (Open Platform Communications Unified Architecture). With its robust API, the software seamlessly integrates into nearly any system environment. It also supports automated testing and version management via external tools, enabling easy comparisons of logics and visibility of changes. Additionally, with the SILworX COMPARATOR PLUS, project modifications can be executed swiftly and clearly. This feature enables users to visually and tabularly compare the logic of two different programs, functions, or function blocks (Programming Organization Units), presenting the alterations in a detailed manner. This capability not only enhances clarity but also fosters a more efficient workflow for engineers involved in safety systems.
API Access
Has API
API Access
Has API
Integrations
Python
Pricing Details
Free
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
DataCebo
Website
sdv.dev/
Vendor Details
Company Name
HIMA
Founded
1987
Country
Germany
Website
www.hima.com/en/products-services/silworx