A curated collection of static hosting providers, content management systems, and related articles for static websites.
Awesome Static Hosting and CMS is a community-maintained, curated list of resources for building and deploying static websites. It provides a comprehensive directory of static hosting providers, content management systems (CMS), and educational articles to help developers find the right tools and best practices for static site development.
Developers, particularly those using static site generators like Jekyll, Hugo, or others, who are seeking reliable hosting solutions, CMS options, and deployment guides for static websites.
Developers choose this project because it offers a centralized, vetted collection of resources—including free and commercial hosting, headless CMS options, and tutorials—saving time compared to scattered searches, and it follows the trusted 'awesome list' philosophy for quality curation.
A collection of awesome static hosting & CMS providers
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
The list includes extensive sections for CMS, free and commercial hosting, and curated articles, providing a one-stop reference for static site development.
Highlights open-source CMS options like DatoCMS and Netlify CMS with direct GitHub links, supporting transparency and community contributions.
Covers services compatible with various static site generators such as Jekyll and Hugo, as seen in the CMS directory entries like Forestry.
Follows the 'awesome list' philosophy, ensuring vetted, high-quality resources rather than original content, making it a reliable starting point.
As a static GitHub README, the list may not be regularly updated, risking outdated information on hosting providers or CMS features.
Provides only lists without ratings, reviews, or feature comparisons, requiring users to independently evaluate each option.
Lacks search, filtering, or interactive elements, making it less user-friendly than dynamic resource databases.