Domino

Open-source no-code platform to build, monitor, and deploy data & AI workflows
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Domino is an open-source, no-code platform for designing, running, and deploying advanced data and AI workflows through an intuitive visual interface. It helps teams and non-developers turn ideas into working pipelines without having to stitch together scripts, services, and infrastructure by hand. Using a graphical workflow builder, you can create, edit, and monitor end-to-end processes that connect data sources, processing steps, machine learning and generative AI components, and external services.

Domino focuses on making complex automation approachable: workflows are built as visual graphs, can be reused and shared, and are easier to understand than scattered code. For developers, Domino also supports turning code into reusable visual elements, enabling a hybrid approach where custom logic becomes a drag-and-drop building block for others. During execution, Domino provides real-time monitoring and reporting so you can see what is happening in a workflow, identify bottlenecks, and validate outputs as the pipeline runs.

A key part of the ecosystem is collaboration. Workflows can be built and iterated on with teammates, and the community can contribute and share reusable “Pieces” that extend the platform with new integrations or capabilities. This makes it easier to standardize common tasks—like calling external APIs, integrating with social media, or adding a specific model step—across multiple workflows. Because Domino is open-source and designed to scale, it can be adopted for personal experimentation, team-based automation, or broader organizational use where repeatability and governance matter.

Whether you are orchestrating data preparation, chaining AI models, enriching datasets through third-party APIs, or building automated reporting pipelines, Domino provides a visual, collaborative way to build and deploy workflows that would otherwise require significant engineering effort.

Review Summary

Features

  • No-code visual workflow builder for data and AI pipelines
  • Create, edit, and deploy workflows through a graphical user interface
  • Integrations with data processing tools, ML and generative AI steps, external APIs, and social media
  • Real-time workflow monitoring with rich reporting
  • Convert code into reusable visual elements (building blocks)
  • Reusable community “Pieces” to extend functionality
  • Collaboration features for teams and community sharing
  • Open-source foundation with scalable architecture

How It’s Used

  • Build advanced data workflows without programming skills
  • Monitor workflows in real time and generate visually rich execution reports
  • Package custom code into reusable visual components for non-developers
  • Share and reuse workflows and extensions (“Pieces”) across teams or the community
  • Orchestrate ML/GenAI pipelines that combine data preparation, model calls, and post-processing
  • Automate integrations with external APIs and social media services

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