datachain-ai/datachain: The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure - datachain-ai/datachain
ML Pipeline Tool
Summary
Tangle is an open-source, platform-agnostic ML pipeline platform featuring a drag-and-drop visual editor for building, executing, and collaboratively managing machine learning and data workflows without requiring setup.
Highlights
- Drag-and-drop visual editor for creating complex ML workflows with or without writing code
- Platform-agnostic: wraps any language or framework in containers via in-app editor
- Content-based caching of intermediate results accelerates experimentation and reduces compute costs
- Collaborative features allow cloning, editing, and running pipelines with a reusable component library
auto-generated
Context
Audience
ML engineers, data scientists, and MLOps teams looking to visualize and manage machine learning workflows
DomainMachine Learning
Formatinteractive web platform
Accessopen source, free online
Source Overview
Tangle is an open-source, platform-agnostic tool with a drag-and-drop visual editor for building and executing ML and data pipelines.
It supports any language or framework by wrapping existing code in containers, and includes a reusable component library. The platform provides content-based caching of intermediate results and collaborative cloning and editing of pipelines.
Topics
Related
MLflowKubeflowAirflowPrefectDagsterML Pipeline Orchestration
