Rewriting Dataframes for Microhaskell
Posted4 months agoActive4 months ago
mchav.github.ioTechstory
calmmixed
Debate
40/100
Functional ProgrammingData ProcessingHaskell
Key topics
Functional Programming
Data Processing
Haskell
The article discusses rewriting dataframes for MicroHaskell, a minimal Haskell implementation, and the discussion revolves around the trade-offs of using MicroHaskell, particularly its smaller binary size versus slower performance.
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72-78h
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- 01Story posted
Sep 8, 2025 at 3:45 AM EDT
4 months ago
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Sep 11, 2025 at 5:12 AM EDT
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4 comments in 72-78h
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Sep 11, 2025 at 8:44 AM EDT
4 months ago
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Under which conditions is that a great swap? A 5x increase in processing times is absolutely huge, and even for moderate data volumes could make a data processing pipeline completely non-viable.
But this tradeoff would actually pay off where the compile time has a similar improvement as the size.