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ease
features
design
support

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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

Screenshots View All

Screenshots View All

Integrations

Python

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

Product Features

Product Features

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