dsyme 

The F# Data library (FSharp.Data.dll) implements everything you need to access data in your F# applications and scripts. It implements F# type providers for working with structured file formats (CSV, HTML, JSON and XML) and for accessing the WorldBank data. It also includes helpers for parsing CSV,... More information

The F# compiler services package contains a custom build of the F# compiler that exposes additional functionality for implementing F# language bindings, additional tools based on the compiler or refactoring tools. The package also includes F# interactive service that can be used for embedding F#... More information

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... More information

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 componments are Markdown parser, tools for formatting F# code snippets,... More information

Asynchronous sequences for F#

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... More information

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.... More information

A limited CodeDom implementation for F#

Cloud workflow core libraries.

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 componments are Markdown parser, tools for formatting F# code snippets,... More information

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.

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.

An F# Type Provider providing strongly typed access to the R statistical package. 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.

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.

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... More information

MBrace library for distributing flow computations.

Provides a simple MBrace cluster implementation over Nessos.Thespian.

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

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... More information