AI Workflow Platform
OOMOL natively supports Python/JS for data processing and chart generation, featuring built-in AI function nodes and large model APIs for creating modern AI analytics workflows.
OOMOL allows developers to create customizable video processing nodes, enabling content creators to automate tasks like multilingual subtitling through drag-and-drop workflows.
Intuitive interaction
Build workflows easily with drag-and-drop, configure node parameters flexibly via graphical components, and preview common data types.
Pre-installed environment
No installation of Python or Node.js required; works out of the box. OOMOL uses containers to unify the development environment, enabling seamless Workflow sharing across systems without impacting local environments.
Developer-friendly
Built-in Python and Node.js with open-source library support. Based on VSCode, it offers code completion, highlighting, and AI suggestions. Includes an intuitive workflow log interface for easy debugging.
Community sharing
Share Workflows and Block Toolbox with the OOMOL community and as GitHub repositories. We will open-source built-in tool plugins, common Workflows, and runtime containers in the oomol-lab GitHub organization.
AI Workflow Platform
Oomol Studio makes it easy to connect code snippets and API services through intuitive visual interactions