awesome-flask vs awesome-fastapi

Curated resource directories for Flask and FastAPI

awesome-flask and awesome-fastapi are curated directories of tools, learning materials, and project examples for their respective Python web frameworks. awesome-flask includes Flask deployment resources and learning materials, while awesome-fastapi highlights API-focused libraries, hosting options, and operational topics.

awesome-flaskawesome-fastapi
LicenseCC0-1.0CC0-1.0
Stars12.8k11.7k
Forks1.6k904
Last analyzedOct 24, 2026Oct 14, 2026

Key differences

  • awesome-flask groups extensions in areas such as APIs, security, and caching; awesome-fastapi also lists database integrations such as ORMs, query builders, and MongoDB ODMs.
  • awesome-flask links to official Flask documentation and source code; awesome-fastapi collects articles, courses, and best-practice references.
  • awesome-flask includes hosting and deployment guidance; awesome-fastapi distinguishes PaaS, IaaS, and serverless hosting options.
  • awesome-fastapi covers operational topics including rate limiting, security headers, metrics, and tracing; awesome-flask lists security and developer-tool extensions among its categories.
  • awesome-flask reports 12.8k stars and 1.6k forks, compared with 11.7k stars and 900 forks for awesome-fastapi.
  • Both projects use the CC0-1.0 license and are not archived.

Choose awesome-flask if you…

  • need Flask-specific extensions, including options for APIs, security, or caching.
  • want free Flask tutorials, books, talks, or videos.
  • are comparing Flask starter templates, applications, or deployment resources.
Read the awesome-flask analysis →

Choose awesome-fastapi if you…

  • need FastAPI library options for persistence, pagination, or authentication.
  • want to compare hosting choices across PaaS, IaaS, and serverless.
  • are looking for FastAPI examples or operational resources such as metrics and tracing.
Read the awesome-fastapi analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.