Open Source F# Software
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F# Software
View 9159 business solutionsBrowse free open source F# Software and projects below. Use the toggles on the left to filter open source F# Software by OS, license, language, programming language, and project status.
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Capstone
Capstone disassembly/disassembler framework
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). -
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FVim
Cross platform Neovim front-end UI, built with F# + Avalonia
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! -
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Visual F# Compiler and Tools
Visual Studio IDE for writing F# programs
Visual F# is the Visual Studio Integrated Development Environment (IDE) for writing programs in F#. It comes with a solid set of features including those supported in other .NET Framework languages, and assists developers in packaging and deploying applications. -
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Fable
F# to JavaScript compiler
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. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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.NET for Apache Spark
A free, open-source, and cross-platform big data analytics framework
.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. -
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Forge
F# CLI tool for project, file, and solution management
Forge is a command-line project and solution management tool for F# developers, originally part of the Ionide ecosystem. It enables streamlined scaffolding, templating, and manipulation of F# projects and scripts, facilitating a smoother development workflow. While Ionide now emphasizes the dotnet CLI, Forge remains useful for legacy workflows and script-oriented use cases -
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IfSharp
F# for Jupyter Notebooks
F# for Jupyter Notebooks. This implements F# for Jupyter notebooks. View the Feature Notebook for some of the features that are included. There's a related project of .NET Interactive which was inspired by this one but a completely rethought approach with integrated package management, VS Code support, and variable sharing between languages. If you're moving to .NET Core support it's definitely worth checking out. -
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Buckaroo
The decentralized package manager for C++ and friends
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. -
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FSharp.Data
F# Data: Library for Data Access
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. -
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Giraffe
A native functional ASP.NET Core web framework for F# developers
A functional ASP.NET Core micro web framework for building rich web applications. Giraffe is an F# micro web framework for building rich web applications. It has been heavily inspired and is similar to Suave, but has been specifically designed with ASP.NET Core in mind and can be plugged into the ASP.NET Core pipeline via middleware. Giraffe applications are composed of so called HttpHandler functions which can be thought of a mixture of Suave's WebParts and ASP.NET Core's middleware. Giraffe is intended for developers who want to build rich web applications on top of ASP.NET Core in a functional first approach. ASP.NET Core is a powerful web platform which has support by Microsoft and a huge developer community behind it and Giraffe is aimed at F# developers who want to benefit from that eco system. -
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ML.NET
Open source and cross-platform machine learning framework for .NET
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. -
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MvvmCross.FSharp
Extensions to make MvvmCross bindings more F#-ish
A set of tools and extensions for building F# applications with the MvvmCross framework, enabling functional programming in cross-platform apps.
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