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Within LTS Haskell 24.45 (ghc-9.10.3)

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  1. package error-or

    Composable, hierarchical errors. An Applicative Functor with error accumulation. Built in tree like error type meant for gathering and reporting errors to users.

  2. package executable-path

    Finding out the full path of the executable. The documentation of "System.Environment.getProgName" says that "However, this is hard-to-impossible to implement on some non-Unix OSes, so instead, for maximum portability, we just return the leafname of the program as invoked." This library tries to provide the missing path. Note: Since base 4.6.0.0, there is also a function "System.Environment.getExecutablePath".

  3. package extended-reals

    Extension of real numbers with positive/negative infinities Extension of real numbers with positive/negative infinities (±∞). It is useful for describing various limiting behaviors in mathematics.

  4. package extractable-singleton

    A functor, where the "stored" value is isomorphic to Identity A functor, where the "stored" value is isomorphic to Identity

  5. package fakedata

    Library for producing fake data Please see the README on GitHub at https://github.com/psibi/fakedata#readme

  6. package fakedata-parser

    Please see the README on GitHub at https://github.com/psibi/fakedata-parser#readme

  7. package fakepull

    Monad to pull from fake stream-like objects. See https://github.com/igrep/haskell-fakepull#readme.

  8. package fast-builder

    Fast ByteString Builder An efficient implementation of ByteString builder. It should be faster than the standard implementation in most cases. In many benchmarks, the performance improvement is 2x-10x.

  9. package fast-myers-diff

    A fast implementation of the Myers diff algorithm. A fast implementation of the diffing algorithm described in 'An O(ND) Difference Algorithm and Its Variations' by Eugene W. Myers.

  10. package fft

    Bindings to the FFTW library. Bindings to the FFTW library. Provides high performance discrete fourier transforms in arbitrary dimensions. Include transforms of complex data, real data, and real to real transforms.

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