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The FSharp.Data packages contain type providers and utilities to access common data formats (CSV, HTML, JSON and XML in your F# applications and scripts. * FSharp.Data -- includes everything * FSharp.Data.Http -- http types/helpers * FSharp.Data.Csv.Core -- csv types/helpers * FSharp.Data.Json.Core -- json types/helpers * FSharp.Data.Html.Core -- html types/helpers * FSharp.Data.Xml.Core -- xml types/helpers

Asynchronous sequences for F#

Package Description

The FSharp.Data packages contain type providers and utilities to access common data formats (CSV, HTML, JSON and XML in your F# applications and scripts. * FSharp.Data -- includes everything * FSharp.Data.Http -- http types/helpers * FSharp.Data.Csv.Core -- csv types/helpers * FSharp.Data.Json.Core -- json types/helpers * FSharp.Data.Html.Core -- html types/helpers * FSharp.Data.Xml.Core -- xml types/helpers

The FSharp.Data packages contain type providers and utilities to access common data formats (CSV, HTML, JSON and XML in your F# applications and scripts. * FSharp.Data -- includes everything * FSharp.Data.Http -- http types/helpers * FSharp.Data.Csv.Core -- csv types/helpers * FSharp.Data.Json.Core -- json types/helpers * FSharp.Data.Html.Core -- html types/helpers * FSharp.Data.Xml.Core -- xml types/helpers

The FSharp.Data packages contain type providers and utilities to access common data formats (CSV, HTML, JSON and XML in your F# applications and scripts. * FSharp.Data -- includes everything * FSharp.Data.Http -- http types/helpers * FSharp.Data.Csv.Core -- csv types/helpers * FSharp.Data.Json.Core -- json types/helpers * FSharp.Data.Html.Core -- html types/helpers * FSharp.Data.Xml.Core -- xml types/helpers

The FSharp.Data packages contain type providers and utilities to access common data formats (CSV, HTML, JSON and XML in your F# applications and scripts. * FSharp.Data -- includes everything * FSharp.Data.Http -- http types/helpers * FSharp.Data.Csv.Core -- csv types/helpers * FSharp.Data.Json.Core -- json types/helpers * FSharp.Data.Html.Core -- html types/helpers * FSharp.Data.Xml.Core -- xml types/helpers

The FSharp.Data packages contain type providers and utilities to access common data formats (CSV, HTML, JSON and XML in your F# applications and scripts. * FSharp.Data -- includes everything * FSharp.Data.Http -- http types/helpers * FSharp.Data.Csv.Core -- csv types/helpers * FSharp.Data.Json.Core -- json types/helpers * FSharp.Data.Html.Core -- html types/helpers * FSharp.Data.Xml.Core -- xml types/helpers

FSharp.Data.Adaptive provides an incremental evaluation system inspired by Adapton, DeltaML and many others for FSharp. The implementation provides incremental datastructures for refs/sets/lists/maps.

.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-12.8, libtorch-cuda-12.8-win-x64 or libtorch-cuda-12.8-linux-x64 version 2.10.0.0 to execute.

FSharp.Compiler.Tools for F# 4.5 FSharp.Compiler.Tools built by F# Software Foundation This package includes the F# compiler (fsc.exe), F# Interactive (fsi.exe, fsiAnyCpu.exe) and the MSBuild component (FSharp.Build.dll). NOTE: the compiler executes with .NET Framework and/or Mono. It does not execute with .NET Core. For a compiler that executes with .NET Core use the .NET Core SDK, which includes an F# compiler.

The package is a collection of libraries that can be used for literate programming with F# (great for building documentation) and for generating library documentation from inline code comments. The key components are Markdown parser, tools for formatting F# code snippets, including tool tip type information and a tool for generating documentation from library metadata.

TorchSharp makes PyTorch available for .NET users. libtorch-cpu-linux-x64 contains components of the PyTorch LibTorch library version 2.10.0 redistributed as a NuGet package with added support for TorchSharp.

The package is a collection of libraries that can be used for literate programming with F# (great for building documentation) and for generating library documentation from inline code comments. The key components are Markdown parser, tools for formatting F# code snippets, including tool tip type information and a tool for generating documentation from library metadata.

TorchSharp makes PyTorch available for .NET users. libtorch-cpu-win-x64 contains components of the PyTorch LibTorch library version 2.10.0 redistributed as a NuGet package with added support for TorchSharp.

The 'dotnet fsdocs' documentation generation tool for F# projects. Install use 'dotnet tool add fsdocs-tool'. See the project site for documentation.

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.10.0 CUDA 12.8 support for Windows.

The MBrace core library contains all cloud computation essentials, libraries and local execution tools for authoring distributed code.

TorchSharp makes PyTorch available for .NET users. libtorch-cpu-osx-x64 contains components of the PyTorch LibTorch library version 2.2.1 redistributed as a NuGet package with added support for TorchSharp.

TorchSharp makes PyTorch available for .NET users. libtorch-cpu contains components of the PyTorch LibTorch library version 2.10.0 redistributed as a NuGet package with added support for TorchSharp.

The F# Charting library (FSharp.Charting.dll) is a compositional library for creating charts from F# on Windows. Use FSharp.Charting.Gtk for other platforms. FSharp.Charting is designed to be a great fit for data scripting in F# Interactive, but charts can also be embedded in Windows applications. The library is a wrapper for .NET Chart Controls, which are only supported on Windows.

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

MBrace runtime core library containing the foundations for implementing distributed runtimes that support cloud workflows. The runtime core uses FsPickler and Vagabond as a foundation for communication and upload of code.

FsLab is a combination package that supports doing data science with F#. FsLab includes literate scripting converted to HTML and PDF, and by default references Deedle (a data frame library), FSharp.Data (for data access) and XPlot (for visualization). You can optionally add any other nuget packages.

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.10.0 CPU support.

F#-first linear algebra, machine learning, fitting, signal processing, and statistical testing.

XPlot is a cross-platform data visualization library that supports creating charts using Google Charts and Plotly. The library provides a composable domain specific language for building charts and specifying their properties.

An F# Type Provider providing strongly typed access to the R statistical language. The type provider automatically discovers available R packages and makes them easily accessible from F#, so you can easily call powerful packages and visualization libraries from code running on the .NET platform.

MBrace on Windows Azure.

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.10.0 CUDA 12.8 support for Linux.

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A limited CodeDom implementation for F#

MBrace library for distributing flow computations.

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

Deedle implements an efficient and robust frame and series data structures for manipulating with structured data. It supports handling of missing values, aggregations, grouping, joining, statistical functions and more. For frames and series with ordered indices (such as time series), automatic alignment is also available. This package installs core Deedle package, together with an R type provider plugin which makes it possible to pass data frames and time series between R and Deedle

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Legacy project file cracker for the F# compiler service.

A collection of abstract NUnit-based test suites for evaluating MBrace runtime implementations.

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