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What is alvaDesc?

alvaDesc is a cheminformatics application that facilitates the calculation and analysis of molecular descriptors, fingerprints, and structural patterns, serving the needs of QSAR, QSPR, read-across, and machine learning applications. This tool can compute more than 5,000 molecular descriptors spanning various dimensions from 0D to 3D, including categories like constitutional, topological, geometrical, electronic, physicochemical, and fragment-based descriptors. Additionally, alvaDesc generates molecular fingerprints and structural pattern counts that aid in similarity assessments, clustering, and classification efforts. It features integrated tools for descriptor filtering and correlation analysis, which contribute to ensuring the modeling processes are not only robust but also reproducible. Moreover, the software seamlessly integrates with KNIME and Python, allowing for easy connections to external data analysis and machine learning frameworks. Its extensive use in both academic and industrial research is supported by detailed documentation and numerous scientific publications that enhance its credibility in the field. Users also value its intuitive interface, which significantly improves the experience of performing intricate cheminformatics tasks while promoting efficiency and accuracy in research endeavors. With its comprehensive features, alvaDesc stands out as a key resource for those engaged in molecular analysis and modeling.

What is XR SDK?

The Unity XR SDK caters to experienced developers who want to build their own XR providers that work seamlessly with the Unity environment. To gain access to the XR SDK, you must sign up on the specified webpage. This SDK supports a variety of backends, known as "providers," that enable a cohesive engine feature identified as a "subsystem" within the Unity framework. During application execution, users have the option to select and activate these providers. A subsystem descriptor acts as the metadata for each subsystem, which can be examined before the loading or initialization steps occur. This data is sourced from a manifest file and can be accessed using a C# interface. Furthermore, a Create method is employed to activate the subsystem and generate an instance for developers to utilize in their code. This capability enhances flexibility and personalization in XR development, allowing developers to tailor their experiences more precisely to their needs. Overall, the Unity XR SDK empowers users to innovate and explore new dimensions in their projects.

Media

Media

Integrations Supported

KNIME Analytics Platform
Python
alvaBuilder
alvaModel

Integrations Supported

KNIME Analytics Platform
Python
alvaBuilder
alvaModel

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alvascience

Date Founded

2018

Company Location

Italy

Company Website

www.alvascience.com

Company Facts

Organization Name

Unity

Company Location

United States

Company Website

docs.unity3d.com/Manual/xr-sdk.html

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