ETLR is an AI-powered workflow automation tool that enables users to create, version, and deploy workflows using YAML, embracing a “workflows as code” methodology. It allows developers and data teams to manage AI workflows programmatically without relying on graphical interfaces.
Key Features
Code-based workflow creation using YAML
Version control for AI workflows
Seamless deployment of workflows across environments
Supports automation of AI tasks and processes
Eliminates the need for manual UI-driven workflow management
Pros
Full control over workflow logic through code
Enables reproducibility and versioning of AI workflows
Streamlines deployment and reduces manual errors
Ideal for developers and teams familiar with coding practices
Cons
Requires knowledge of YAML and coding concepts
Not as intuitive for non-technical users
May have a steeper learning curve compared to UI-based workflow tools
Who Is This Tool For?
AI engineers, developers, and data scientists
Teams managing complex AI workflow pipelines
Organizations seeking programmatic control over automation
Users preferring “infrastructure as code” methodologies
Pricing Packages
Free / Trial: Limited workflow creation and deployment
Paid Plans: Advanced workflow management, versioning, automation, and enterprise integration
