dlt is an open-source library that automatically creates datasets from messy, unstructured data sources. You can use the library to move data from about anywhere into the most well-known SQL and vector stores, data lakes, storage buckets, or local engines like DuckDB. It automates many cumbersome data engineering tasks and can be handled by anyone who knows Python. More details in this Hacker News article.
dltHub is based in Berlin and New York City. It was founded by data and machine learning veterans. We are backed by Foundation Capital, Dig Venture, and many technical founders from companies such as Hugging Face, Instana, Matillion, Miro, and Rasa.
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since 2017, the number of python users has been increasing by millions annually. the vast majority of these people leverage python as a tool to solve problems at work. our mission is to make them autonomous when they create and use data in their o...
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