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Build & Run
ML Pipelines
in Your Browser

No setup required. Design, test, and deploy machine learning workflows with an intuitive visual interface. Transform your experiments into production pipelines in minutes, not hours.

Visual Pipeline Editor
Build complex ML workflows with drag-and-drop simplicity. Connect components visually and see your pipeline come to life.
Real-time Execution
Watch your pipelines run in real-time. Monitor progress, view logs, and get instant feedback on performance.
Rich Component Library
Access pre-built components for data processing, model training, evaluation, and deployment. Customize or create your own.
Cloud Native
Deploy anywhere - from local development to production clusters. Scale automatically based on your workload needs.
Version Control
Track changes, compare versions, and collaborate seamlessly. Every pipeline is versioned and reproducible.
ShopifyDeveloped by Shopify

Built by Shopify's Search Team to democratize machine learning pipeline development across the organization.

📖Open Source

Based on the open-source pipeline-studio-app editor. Contribute to the future of visual ML pipeline development.

Powerful Features for ML Teams

Drag & Drop Pipeline Editing

Create complex ML workflows with an intuitive visual interface. Connect components, configure arguments, and build pipelines without writing code.

Drag and drop interface showing pipeline components

In-App Component Editor

Edit and configure components directly within the pipeline editor. Streamline your workflow and reduce context switching.

In-app component editor interface

Component Management

Upload, create, and manage reusable ML components. Build a library of custom components that can be shared across teams and projects.

Component library interface

Cached Pipeline Execution

Execute pipelines with our powerful orchestration backend. Monitor runs, view logs, and track results in real-time. Cached components instantly saves time and resources.

Pipeline execution page

Ready to Build Your First Pipeline?

Start creating machine learning workflows in minutes. Try our example pipelines or dive straight into the documentation.

🚀 Get Started🎮 Try Example Pipelines📖 View Documentation

Get in Touch

Have questions about Oasis? Our team is here to help you get started with visual ML pipeline development.

💬
Slack

#tangle

📧
Website

https://tangleml.com/

Open Source

Tangle is built on open-source foundations. Contribute, report issues, or explore the codebase on GitHub.

📦
Main Repository

github.com/tangleml/tangle

🐛
Report Issues

Found a bug? Let us know!