FireDucks Drop-In Acceleration
FireDucks keeps the pandas API surface but swaps the implementation at import time (import fireducks.pandas as pd, or a hook that patches imports), compiling chains of DataFrame operations into an optimized lazy plan executed multithreaded. It targets pandas' core limits — eager single-threaded execution and intermediate materialization — without requiring code rewrites, the tradeoff being debuggability of deferred execution.
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FireDucks keeps the pandas API surface but swaps the implementation at import time (import fireducks.pandas as pd, or a hook that patches imports), compiling chains of DataFrame operations into an optimized lazy plan executed multithreaded. It targets pandas' core limits — eager single-threaded execution and intermediate materialization — without requiring code rewrites, the tradeoff being debuggability of deferred execution.
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