VDP

Overview

VDP is an open-source Python tool for orchestrating AI pipelines, handling data ingestion, model management, and deployment. It provides a unified infrastructure to streamline building end-to-end AI-first applications.

Best for

Best for
Developers who need an integrated open-source platform for end-to-end AI pipeline orchestration

Use cases

• Orchestrating multi-step AI workflows with data and model dependencies
• Deploying and managing machine learning models in production pipelines
• Building and scaling end-to-end AI applications from prototype to production

Notes

VDP is an open-source Python tool for orchestrating AI pipelines, handling data ingestion, model management, and deployment. It provides a unified infrastructure to streamline building end-to-end AI-first applications.

2,313 stars on GitHub. Last updated 2026-06-01.

Use cases

• Orchestrating multi-step AI workflows with data and model dependencies
• Deploying and managing machine learning models in production pipelines
• Building and scaling end-to-end AI applications from prototype to production

Pros

• Open-source with a growing community (2.3k GitHub stars)
• Python-native tooling for seamless integration with data science workflows
• Covers data, model, and pipeline orchestration in a single platform

Cons

• Relatively early-stage project with evolving documentation and stability
• Learning curve for configuring full-stack infrastructure beyond basic pipelines
• Limited ecosystem integrations compared to more mature orchestration tools

Indexed from awesome-llmops and enriched against its public facts.