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dlt (data load tool)

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dlt is a lightweight, open-source Python library for loading data from any source into well-structured datasets with automatic schema inference.

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Sources

github.com

Verified against the dlt-hub/dlt repository and the PyPI package.

dlt (data load tool) is a lightweight, production-ready Python library that simplifies extracting and loading data from any source into structured datasets.

Key Features:

  • Auto Schema Inference - Automatically detect and evolve schemas as your data sources change.
  • Any Source to Any Destination - Load from REST APIs, databases, files, and Python data structures.
  • No Infrastructure - Import as a Python library with no backends, containers, or complex setup.
  • LLM-Ready - Build pipelines with AI code editors using dltHub Context assets and skills.
  • Pipeline Composition - Chain extract and load steps into reproducible, version-controlled pipelines.
  • 6M+ Downloads - Trusted by 8,000+ companies in production with 600+ Snowflake customers.

Whether you're ingesting API data, loading files into a lakehouse, or building AI-powered ETL, dlt provides a Pythonic way to move data reliably.

Features:
Open SourceETL PipelinePython SDKStructured ExtractionWorkflow AutomationLLM-Ready OutputSchema Inference

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