Apache DataFusion (Python) is an open-source Python library that provides bindings to the DataFusion in-memory query engine. It enables users to execute SQL and DataFrame operations on Arrow, Parquet, CSV, and JSON data sources efficiently. Ideal for data engineers and developers needing fast, scalable analytics in Python.
DataFusion in Python is a Frameworks & SDKs product. It focuses on allowing Python developers to perform fast, in-memory SQL and DataFrame queries on large datasets without external database dependencies. It is built as an open-source project for data engineers. DataFusion in Python is open source under the Apache-2.0 license. The product ships for the web, the command line, and API, and it can be self-hosted.
Behind DataFusion in Python is Apache Software Foundation, and the product first shipped in 2022. Development happens publicly on GitHub with 591 stars and 69 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — DataFusion in Python occupies a relatively distinct niche. Key capabilities include SQL queries, DataFrame API, and in-memory execution.
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