What are the best F# web frameworks for building APIs?

Awesome F# lists Giraffe and Saturn as popular choices for functional ASP.NET Core development, with Giraffe being lightweight and Saturn adding more opinionated structure. It also includes newer options like Oxpecker, but you'll need to check their documentation for specific use cases.

How to get started with F# for data science?

The list recommends tools like Deedle for data frames, IfSharp for Jupyter notebooks, and DiffSharp for automatic differentiation. Start with the Data Science section and explore FsLab for a bundled experience, but note that setup might require additional configuration.

Is F# good for game development compared to C#?

Awesome F# includes libraries like Garnet for ECS and Nu for 2D games, but the ecosystem is smaller than Unity's C# support. It's ideal for experimental or functional-style games, but for mainstream 3D development, C# with Unity remains more robust.

What F# testing framework should I use?

Expecto is highlighted for its parallelism and tests-as-values approach, while FsCheck is listed for property-based testing. Choose Expecto for conventional unit tests or FsCheck for randomized validation, but be aware that integration with CI/CD might need extra setup.

How to find F# wrappers for .NET libraries?

The list has a dedicated table for wrappers like FSharp.SystemTextJson for JSON serialization and Elmish.WPF for GUI development. Use it to discover functional-friendly APIs, but verify compatibility with your .NET version as some wrappers may lag behind.

Open-Awesome

F#

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A curated list of awesome F# frameworks, libraries, software, and resources for developers.

GitHub

1.4k stars108 forks0 contributors

What is F#?

Awesome F# is a curated list of high-quality frameworks, libraries, software, and resources for the F# programming language. It serves as a centralized directory to help developers discover tools and learning materials across various domains like web development, data science, and game development. The project aims to support the F# ecosystem by making it easier to find reliable and useful resources.

Target Audience

F# developers of all levels, from beginners seeking learning materials to experienced practitioners looking for specialized libraries or tools. It is also valuable for .NET developers exploring functional programming or considering F# for new projects.

Value Proposition

Developers choose Awesome F# because it provides a trusted, community-vetted collection that saves time searching for quality F# resources. Its structured categorization and comprehensive coverage make it the go-to reference for discovering the best tools and staying updated with the ecosystem.

Overview

A curated list of awesome F# frameworks, libraries, software and resources.

Use Cases

Best For

Finding F# libraries for web development like Giraffe or Saturn
Discovering data science and machine learning tools for F#
Locating testing frameworks such as Expecto or FsCheck
Exploring F# development tools and IDE integrations
Learning F# through curated books, blogs, and tutorials
Identifying F# wrappers for popular .NET libraries

Not Ideal For

Developers needing real-time updates on newly released F# libraries
Teams requiring detailed performance benchmarks or comparative analyses of tools
Projects that mandate only vendor-supported or enterprise-ready libraries with SLA guarantees
Users seeking interactive tutorials or live code examples directly on the site

Pros & Cons

Pros

Comprehensive Resource Aggregation

Aggregates tools across domains like web frameworks (e.g., Giraffe), data science (e.g., Deedle), and testing (e.g., Expecto), as shown in the structured categorization, making it a one-stop shop.

Community-Driven Curation

Continuously updated by the F# community with sections for blogs, videos, and other lists, ensuring relevance and fostering ecosystem growth.

Structured for Easy Navigation

Organized into clear sections such as Web Frameworks, Data Science, and Testing, enabling quick discovery of specific resources without clutter.

Includes Learning Materials

Goes beyond libraries to list books, cheatsheets, courses, and community links, supporting developers from beginner to advanced levels.

Cons

No Quality Verification

As a curated list, it doesn't assess the maintenance status, bug frequency, or performance of linked projects; some entries might be outdated or deprecated.

Limited Depth of Information

Provides only brief descriptions and links, lacking tutorials, version compatibility notes, or comparative insights to help users choose between similar tools.

Potential for Stale Content

Relies on community contributions, so updates may lag behind rapid ecosystem changes, and some categories might have incomplete or old entries.

Frequently Asked Questions

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