What is Visual Data Preparation (VDP)?
It is an open-source visual data ETL tool to streamline the end-to-end visual data processing pipeline. It is implemented with microservice and API-first design principles. Instead of building all components from scratch, it adopts sophisticated open-source tools.
Visual Data Preparation (VDP) is a tool in the Big Data Tools category of a tech stack.
Visual Data Preparation (VDP) is an open source tool with GitHub stars and GitHub forks. Here’s a link to Visual Data Preparation (VDP)'s open source repository on GitHub
Who uses Visual Data Preparation (VDP)?
Visual Data Preparation (VDP) Integrations
Python, Docker, TensorFlow, Linux, and gRPC are some of the popular tools that integrate with Visual Data Preparation (VDP). Here's a list of all 8 tools that integrate with Visual Data Preparation (VDP).
Visual Data Preparation (VDP)'s Features
- Open-source
- Visual data ETL
- Streamline the end-to-end visual data processing pipeline
- Extract unstructured visual data from pre-built data sources such as cloud/on-prem storage, or IoT devices
- Transform it into analysable structured data by Vision AI models
- Load the transformed data into warehouses, applications, or other destinations
Visual Data Preparation (VDP) Alternatives & Comparisons
What are some alternatives to Visual Data Preparation (VDP)?
JavaScript
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Git
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub
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Python
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jQuery
jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.
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