A curated list of awesome F# frameworks, libraries, software, and resources for developers.
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.
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.
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.
A curated list of awesome F# frameworks, libraries, software and resources.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
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.
Continuously updated by the F# community with sections for blogs, videos, and other lists, ensuring relevance and fostering ecosystem growth.
Organized into clear sections such as Web Frameworks, Data Science, and Testing, enabling quick discovery of specific resources without clutter.
Goes beyond libraries to list books, cheatsheets, courses, and community links, supporting developers from beginner to advanced levels.
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list, it doesn't assess the maintenance status, bug frequency, or performance of linked projects; some entries might be outdated or deprecated.
Provides only brief descriptions and links, lacking tutorials, version compatibility notes, or comparative insights to help users choose between similar tools.
Relies on community contributions, so updates may lag behind rapid ecosystem changes, and some categories might have incomplete or old entries.