PlanFrame is an open-source Python framework for building data processing pipelines with support for multiple backends, including Spark, Polars, and Pandas. It provides a unified API and tools for adapter development, making it easier for data engineers to manage complex workflows.
In the Frameworks & SDKs space, PlanFrame takes a focused approach. It focuses on simplifying the creation and execution of data processing pipelines across different data backends. It is built as an open-source project for data engineers. PlanFrame is open source under the MIT license. PlanFrame is available on the web, the command line, and API.
Behind PlanFrame is eddiethedean, and the product first shipped in 2026. Development happens publicly on GitHub with 205 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — PlanFrame occupies a relatively distinct niche. Key capabilities include PySpark-like API, Pandas-like API, and backend adapters.
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