awesome-fastapi vs awesome-django

Curated FastAPI and Django directories compared

awesome-fastapi and awesome-django are curated directories for developers exploring tools, projects, and learning resources in their respective ecosystems. awesome-fastapi spans hosting options, templates, and examples, while awesome-django organizes reusable apps and larger projects and states criteria for package inclusion.

awesome-fastapiawesome-django
LicenseCC0-1.0—
Stars11.7k1.9k
Forks904285
Last analyzedOct 14, 2026Oct 26, 2026

Key differences

  • awesome-fastapi focuses on the FastAPI ecosystem, including deployment options, starter templates, and example applications; awesome-django centers on Django apps, larger projects, and learning resources.
  • awesome-fastapi groups extensions around areas such as authentication, databases, and observability; awesome-django covers areas such as forms, search, security, and task queues.
  • awesome-fastapi lists resources including talks, videos, and courses; awesome-django includes books, tutorials, videos, and conferences.
  • awesome-django defines selection criteria that include maturity, maintenance, documentation, users, and release recency; awesome-fastapi describes a curated directory without comparable stated criteria.
  • awesome-fastapi is licensed CC0-1.0; awesome-django reports NOASSERTION, so its licensing terms should be reviewed before reuse.
  • awesome-fastapi has 11.7k stars and 904 forks; awesome-django has 1.9k stars and 286 forks.

Choose awesome-fastapi if you…

  • need to explore FastAPI hosting options, serverless adapters, or deployment choices.
  • want to compare FastAPI extensions, starter templates, and example applications.
  • are learning FastAPI and want to browse tutorials, talks, videos, or courses.
Read the awesome-fastapi analysis →

Choose awesome-django if you…

  • need to browse Django apps for common development needs such as forms, caching, or task queues.
  • want to discover larger Django projects, including content management systems and e-commerce platforms.
  • prefer a directory that states package selection criteria focused on maturity, maintenance, documentation, users, and release recency.
Read the awesome-django analysis →

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