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What is VIKTOR?

VIKTOR is an AI-driven platform built to automate engineering workflows and enable the creation of custom applications. It allows engineers to design, analyze, and manage projects more efficiently by transforming manual tasks into automated processes. Users can build apps for reporting, calculations, dashboards, and simulations without needing extensive programming knowledge. The platform supports both no-code and code-based approaches, making it accessible to a wide range of users. VIKTOR integrates with major engineering software such as Autodesk, Bentley, Trimble, and other CAD, BIM, and FEM tools. This integration centralizes data and workflows, reducing errors caused by manual data handling. Engineers can create reusable and standardized applications that improve consistency across projects. The platform also includes collaboration features like secure sharing, governance, and version control. VIKTOR is used across multiple disciplines including structural, geotechnical, mechanical, and infrastructure engineering. It enables teams to work more efficiently by connecting tools, automating repetitive tasks, and improving data accuracy. The platform helps organizations scale their engineering operations while maintaining compliance and quality. Overall, VIKTOR is a powerful solution for modern engineering teams looking to leverage AI and automation.

What is Streamlit?

Streamlit serves as an incredibly efficient solution for the creation and dissemination of data applications. With this platform, users can convert their data scripts into easily shareable web apps in a matter of minutes, leveraging Python without incurring any costs, and it removes the barriers that come with needing front-end development expertise. The platform is anchored by three foundational principles: it promotes the use of Python scripting for application creation; it allows users to build applications with minimal code by utilizing a user-friendly API that automatically updates upon saving the source file; and it enhances user interaction by enabling the inclusion of widgets as effortlessly as declaring a variable, all without the need to handle backend development, define routes, or manage HTTP requests. Furthermore, applications can be deployed instantly through Streamlit’s sharing platform, which streamlines the processes of sharing, managing, and collaborating on projects. This straightforward framework allows for the development of powerful applications, such as the Face-GAN explorer that integrates Shaobo Guan’s TL-GAN project and utilizes TensorFlow and NVIDIA’s PG-GAN for generating attribute-based facial images. Another compelling example is a real-time object detection application designed as an image browser for the Udacity self-driving car dataset, demonstrating impressive capabilities in real-time object processing and recognition. Overall, Streamlit is not only beneficial for developers but also serves as a vital resource for data enthusiasts, enabling them to explore innovative projects with ease. Each of these features highlights why Streamlit has become a preferred choice for many in the data community.

Media

Media

Integrations Supported

Ansys Autodyn
AutoCAD
Civil 3D
Git
GitHub
GitLab
Grasshopper
MATLAB
Microsoft Excel
Microsoft Word
Revit
TensorFlow
pytest

Integrations Supported

Beam Cloud
DemoGPT
Gradient
Jamba
Positron
Python
TrueFoundry

API Availability

API Availability

Pricing Information

$0/per month/user
- Free Version
- Individuals
- Teams
- Enterprise
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Not specified

Company Facts

Organization Name

VIKTOR

Date Founded

2017

Company Location

Netherlands

Company Website

www.viktor.ai/

Company Facts

Organization Name

Streamlit

Company Location

United States

Company Website

www.streamlit.io

Categories and Features

Application Development

Collaboration Tools
Data Modeling
Graphical User Interface
Reporting/Analytics
Software Development
Version Control
Web App Development

Engineering

Not specified

Web App Development

Not specified

Categories and Features

Data Science

Not specified

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