Cross-platform

FsLab runs on Mac, Linux and Windows. You can use it with Emacs, Xamarin Studio, MonoDevelop, Visual Studio or other F#-enabled editor.

Production-ready

Once you're done with the initial data analysis, you can turn your code into production-quality implementation without rewriting it.

Powered by F#

FsLab lets you use a simple but powerful language that analysts, data scientists and software developers all understand.

Open-source

All libraries included in FsLab are licensed under OSI-approved licenses and have an active community of contributors on GitHub.

Interactive

FsLab encourages an interactive development style. This makes it easy to explore the data and experiment with different analyses.

Cloud-scale

F# code is type-inferred and efficiently compiled. It runs on multi-core and you can easily scale to the cloud with MBrace.

Watch more Videos and conference talks

FsLab appears in many talks ranging from cancer research to Twitter analysis...

Watch more FsLab videos and talks...


Read more Books, articles and blogs

FsLab appears in many books and blogs covering data analysis and machine learning...

  • Analyzing and Visualizing Data with F#   (O'Reilly)
    This free report introduces F#, type providers and all the FsLab libraries that you need to get started doing data science and machine learning.
  • Machine Learning Projects for .NET Developers   (Apress)
    The book shows how to build smarter .NET applications that learn from data, demonstrating many of the FsLab libraries along the way.
  • F# tackles James Bond   (Evelina Gabasova)
    The blog post analyzes budget, box office and ratings for James Bond movies and offers an interesting comparison with R.

Read more FsLab articles and blogs...

Libraries What is included in FsLab? 

F# Data First-class data access

  • Use language that understands external data sources
  • Access JSON, XML, CSV, HTML and WorldBank
  • Get auto-completion based on a sample document
F# Data homepage

Deedle Interactive data exploration

  • Data frame and series library inspired by pandas
  • Quickly explore data & build efficient compiled code
  • Automatic alignment, missing data handling & more
Deedle in 10 minutes Homepage

R Provider Professional stats packages

  • Access over 6000 professional R packages
  • Pass data frames and time-series to R easily
  • Get auto-completion on R functions & parameters
R provider homepage

Math.NET Fast numerical calculations

  • Linear algebra, statistics and probability
  • Optimization, transformations, curve fitting
  • Switch to parallel or native MKL implementation
Math.NET Numerics

XPlot Powerful HTML5 charting

  • Create HTML5 charts with easy-to-use library
  • Choose between Google Charts and Plot.ly
  • Lines, bars, pies, bubbles, maps and much more!
XPlot homepage

F# Charting For desktop charting

  • Rich, efficient charts for desktop apps
  • Create animated live and incremental charts
  • Easily integrates with .NET applications
F# Charting homepage

FsLab For integrated experience

  • One easy to install package with all you need
  • Data access, analysis and visualization
  • Everything works well together, no versioning hell
FsLab templates Visual Studio template

Literate F#Produce LaTeX and HTML reports

  • Mix F# code and Markdown annotations in one file
  • Embedded equations, tables, charts, R graphics and more
  • Produce high-quality LaTeX, PDF or HTML outputs
Introduction Embedding results

Training and support Need help with FsLab? 

Consultancy partners including fsharpWorks contribute to FsLab and provide training, support and other services.

  • If you are using FsLab in finance, you can learn more about FsLab from the online course F# in Finance, which covers Deedle, F# Data and other components.
  • The FastTrack to F# course covers many of the FsLab components too and fsharpWorks also offer custom workshops.

There are a large number of other companies that provide training and consulting services related to F# that will be able to help with FsLab. See the training page and consulting page on the F# Foundation web site.