A clean and powerful Haskell stream processing library for building and connecting reusable streaming components.
Pipes is a Haskell library for compositional stream processing that lets developers build and connect reusable streaming components. It provides an elegant, theoretically-principled approach to handling data flows through pipelines, solving the problem of managing streaming data in a clean and efficient way.
Haskell developers building streaming applications, data processing pipelines, or reactive systems who value elegant, principled design and compositional abstractions.
Developers choose Pipes for its clean API, strong theoretical foundations, excellent performance with shortcut fusion, and minimal dependencies. It offers a more elegant and principled alternative to other streaming approaches in the Haskell ecosystem.
Compositional pipelines
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Uses simple operators like >-> and commands like await and yield, enabling clean and intuitive pipeline construction, as demonstrated in the README's quick start example.
Designed with a small dependency profile for rapid compilation and enhanced portability, aligning with the library's philosophy of minimizing external reliance.
Based on category theory foundations, providing consistent and intuitive behavior for stream processing, as emphasized in the README's philosophy section.
Supports duplex channels, allowing for complex two-way data flows, which is a unique feature highlighted in the README's key features.
While core and derived libraries exist, the ecosystem is smaller compared to alternatives like conduit, potentially requiring more custom work for niche use cases.
The emphasis on category theory and elegant semantics can be challenging for developers new to Haskell or advanced functional programming concepts, despite extensive documentation.
As noted in the README, libraries like pipes-concurrency make design compromises where elegant solutions are unknown, leading to potential inconsistencies in the ecosystem.