# Automation

# Control and automate any part of your machine learning workflow.

Datatorch features a GraphQL API, Python client, and MLOps Pipelines to empower developers with the ability to customize and automate any part of the development process.



# Upload Data with the DataTorch Python Client

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Use the DataTorch Python client to upload data programmatically.

See how →






# Use our GraphQL API

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Learn more about our GraphQL API and experiment with our Apollo GraphQL Playground.

Learn More →





# Set up Agents and Pipelines

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Use Agents and Pipelines for integrating Datatorch with your MLOps processes.

See how →