DataChain Studio

DataChain Studio is a web application that enables Machine Learning and Data teams to seamlessly

• Run and track jobs
• Track experiments and manage models
• Collaborate on data projects

DataChain Studio helps with unstructured data processing and transformation.

Sign in to DataChain Studio using your GitHub.com, GitLab.com, or Bitbucket.org account, or with your email address. Explore the demo projects and datasets, and let us know if you need any help getting started.

Why DataChain Studio?

• Simplify data processing job tracking, visualization, and collaboration.
• Keep your code, data and processing connected at all times.
• Apply your existing software engineering stack for data and ML teams.
• Build a comprehensive data processing and ML platform for transparency and discovery across all your projects.

Getting Started

New to DataChain Studio? Start with these guides:

• User Guide - Learn how to use DataChain Studio features
• API Reference - Integrate with Studio programmatically
• Webhooks - Set up event notifications
• Self-hosting - Deploy your own Studio instance

Key Features

Dataset Management

• Track and version your datasets
• Visualize data processing pipelines
• Share datasets across teams

Job Processing

• Run data processing jobs in the cloud
• Monitor job progress and logs
• Schedule recurring data processing tasks

ML Experiment Tracking

• Track and compare ML experiments
• Manage model lifecycle and registry
• Visualize metrics and plots
• Git-based experiment versioning

Team Collaboration

• Share projects with team members
• Control access with role-based permissions
• Integrate with development workflows

API Integration

• RESTful API for programmatic access
• Webhook notifications for automation
• Command-line tools for developers

Visit studio.datachain.ai to get started, or learn about self-hosting for enterprise deployments.