Coding data pipelines is faster than renting connector catalogs

Dlt is a Python library for building data pipelines, allowing users to automate and customize specific tasks. The community has written over 500 custom sources since its launch last summer, with over 2000 total custom sources created. Creating an ad hoc dlt pipeline and source is simpler than setting up a traditional ETL platform. Dlt's compatibility with code generation tools, including Codex and ChatGPT, will make coding data pipelines even faster. A new product is in development that will allow users to create datasets from the REST API using a dlt code generation tool, which will enable faster coding of data pipelines than renting connector catalogs. The 'real' Pythonic ETL market is expected to be much larger than current short-tail catalog market, with 100k APIs and millions of datasets.

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