Open Source F# Software for Windows

Capstone is a disassembly framework with the target of becoming the ultimate disasm engine for binary analysis and reversing in the security community. Created by Nguyen Anh Quynh, then developed and maintained by a small community, Capstone offers some unparalleled features. Support multiple hardware architectures: ARM, ARM64 (ARMv8), Ethereum VM, M68K, Mips, MOS65XX, PPC, Sparc, SystemZ, TMS320C64X, M680X, XCore and X86 (including X86_64). Having clean/simple/lightweight/intuitive architecture-neutral API. Provide details on disassembled instruction (called “decomposer” by others). Provide semantics of the disassembled instruction, such as list of implicit registers read & written. Implemented in pure C language, with lightweight bindings for D, Clojure, F#, Common Lisp, Visual Basic, PHP, PowerShell, Emacs, Haskell, Perl, Python, Ruby, C#, NodeJS, Java, GO, C++, OCaml, Lua, Rust, Delphi, Free Pascal & Vala (ready either in main code, or provided externally by the community).

Cross platform Neovim front-end UI, built with F# + Avalonia. Download the latest release package for your system, extract and run FVim! For Windows 7 / Vista / 8.1 / Server 2008 R2 / Server 2012 R2, use the win7-x64 package. For Windows 10, use the win-x64 package -- this version has faster startup. For macOS, it's packaged as an app bundle, unzip and drag it to your applications folder. Use a Windows FVim frontend with a WSL neovim: fvim, wsl. Multi-grid support, try Ctrl-w ge to detach a window into a separate OS window!

.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write .NET code allowing you to reuse all the knowledge, skills, code, and libraries you already have as a .NET developer. .NET for Apache Spark runs on Windows, Linux, and macOS using .NET Core, or Windows using .NET Framework. It also runs on all major cloud providers including Azure HDInsight Spark, Amazon EMR Spark, AWS & Azure Databricks.

Type inference provides robustness and correctness, but without the cost of additional code. Let the compiler catch bugs for you. Fable produces readable JavaScript code compatible with ES2015 standards and popular tooling like Webpack. Call JavaScript from Fable or Fable from JS. Use NPM packages. The entire JavaScript ecosystem is at your fingertips. Choose your favorite tool, from Visual Studio Code to JetBrains Rider. Fable supports the F# core library and some common .NET libraries to supplement the JavaScript ecosystem. These are some of the main F# features that you can use in your web apps with Fable. There's a lot of code involving continuations out there, like asynchronous or indeterministic operations. Other languages bake specific solutions into the syntax, with F# you can use built-in computation expressions and also extend them yourself. These are some of the main F# features that you can use in your web apps with Fable.

With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that automates the process of building best performing models for your Machine Learning scenario. All you have to do is load your data, and AutoML takes care of the rest of the model building process. ML.NET has been designed as an extensible platform so that you can consume other popular ML frameworks (TensorFlow, ONNX, Infer.NET, and more) and have access to even more machine learning scenarios, like image classification, object detection, and more.

Bogus is a simple and sane fake data generator for .NET languages like C#, F# and VB.NET. Bogus is fundamentally a C# port of faker.js and inspired by FluentValidation's syntax sugar. Bogus will help you load databases, UI and apps with fake data for your testing needs. When Bogus updates locales from faker.js or issues bug fixes, sometimes deterministic sequences can change. Changes to deterministic outputs are usually highlighted in the release notes. Changes to deterministic outputs is also considered a breaking change. Bogus generally follows semantic versioning rules. For maximum stability for unit tests, stay within the same major versions of Bogus. Bogus can generate deterministic dates and times. However, generating deterministic dates and times requires setting up a local or global seed value, and setting up a global anchor source of time in Bogus.DataSets.Date.SystemClock.

Buckaroo is a decentralized package manager for C++ and related languages, designed to simplify the inclusion of external modules in projects. It supports pulling dependencies directly from various sources like GitHub, GitLab, and Bitbucket, and integrates with the Buck build system to ensure fast and reproducible builds. Buckaroo's decentralized nature eliminates the need for a central repository, promoting flexibility and ease of use.​

The FSharp.Data package implements core functionality to access common data formats in your F# applications and scripts. It contains F# type providers for working with structured file formats (CSV, HTML, JSON and XML) and helpers for parsing CSV, HTML and JSON files and for sending HTTP requests. This library focuses on providing simple access to structured documents and other data sources. The FSharp.Data type providers for CSV, HTML, JSON and XML infer types from the structure of a sample document (or a document containing multiple samples). The structure is then used to provide easy to use type-safe access to documents that follow the same structure. The package contains functionality to simplify data access. In particular, it includes tools for HTTP web requests and CSV, HTML, and JSON parsers with simple dynamic API.

Suave is a simple web development F# library providing a lightweight web server and a set of combinators to manipulate route flow and task composition. Suave is inspired in the simplicity of Happstack and born out of the necessity of embedding web server capabilities in my own applications. Suave supports Websocket, HTTPS, multiple TCP/IP bindings, Basic Access Authentication, Keep-Alive. Suave also takes advantage of F# asynchronous workflows to perform non-blocking IO. In fact, Suave is written in a completely non-blocking fashion throughout. We have a NuGet ready for your testing needs; Suave is an excellent server for running in-process integration tests, as it's very fast to spawn. On an ordinary laptop, running hundreds of randomized tests and micro-benchmarks as well as all Suave unit tests, take about 5 seconds on mono.