@hackage ihaskell-dataframe dependencies

21 results

library:ihaskell-dataframe (8 dependencies)

@hackage/ihaskell

A Haskell backend kernel for the Jupyter project.

MIT==0.13.0.0

@hackage/base

Core data structures and operations

BSD-3-Clause>=4.7 && <5

@hackage/random-shuffle

Random shuffle implementation.

BSD-3-Clause>=0.0.4 && <1

@hackage/text

An efficient packed Unicode text type.

BSD-2-Clause>=2.0 && <3

@hackage/hasktorch

Haskell bindings to libtorch, supporting both typed and untyped tensors.

BSD-3-Clause>=0.2.1.6 && <1

@hackage/dataframe-hasktorch

Converts between dataframes and hasktorch tensors

MIT>=0.1.0.2 && <1

@hackage/random

Pseudo-random number generation

BSD-3-Clause>=1.3.0 && <2

@hackage/dataframe

A fast, safe, and intuitive DataFrame library.

MIT>=0.3.3.6 && <1

executable:ihaskell-dataframe-exe (8 dependencies)

@hackage/ihaskell

A Haskell backend kernel for the Jupyter project.

MIT>=0.13.0.0 && <1

@hackage/base

Core data structures and operations

BSD-3-Clause>=4.7 && <5

@hackage/random-shuffle

Random shuffle implementation.

BSD-3-Clause>=0.0.4 && <1

@hackage/text

An efficient packed Unicode text type.

BSD-2-Clause>=2.0 && <3

@hackage/hasktorch

Haskell bindings to libtorch, supporting both typed and untyped tensors.

BSD-3-Clause>=0.2.1.6 && <1

@hackage/dataframe-hasktorch

Converts between dataframes and hasktorch tensors

MIT>=0.1.0.2 && <1

@hackage/random

Pseudo-random number generation

BSD-3-Clause>=1.3.0 && <2

@hackage/dataframe

A fast, safe, and intuitive DataFrame library.

MIT>=0.3.3.6 && <1

test:ihaskell-dataframe-test (5 dependencies)

@hackage/ihaskell

A Haskell backend kernel for the Jupyter project.

MIT>=0.13.0.0 && <1

@hackage/base

Core data structures and operations

BSD-3-Clause>=4.7 && <5

@hackage/ihaskell-dataframe

BSD-3-Clause>=0.1.0.0 && <1

@hackage/text

An efficient packed Unicode text type.

BSD-2-Clause>=2.0 && <3

@hackage/dataframe

A fast, safe, and intuitive DataFrame library.

MIT>=0.3.3.6 && <1