awesome-django vs awesome-django

Django ecosystem directories compared

Both projects are curated directories that help developers discover Django packages and resources rather than installable software. Project A emphasizes reusable apps, larger projects, and learning resources, while Project B also covers developer tools, hosting, and dedicated Django REST Framework and Wagtail sections.

awesome-djangoawesome-django
Language—Python
License—CC0-1.0
Stars1.9k11.3k
Forks2851.5k
Last analyzedOct 26, 2026Oct 28, 2026

Key differences

  • awesome-django (Project A) groups reusable apps and lists larger projects separately, while awesome-django (Project B) also includes developer tools, hosting options, and starter projects.
  • awesome-django (Project A) highlights selection criteria such as maturity, maintenance, documentation, users, and release recency; awesome-django (Project B) cautions that listing does not guarantee maintenance, compatibility, security, or suitability.
  • awesome-django (Project A) includes categories such as LLM-related packages; awesome-django (Project B) has dedicated sections for Django REST Framework and Wagtail.
  • awesome-django (Project A) reports 1.9k stars and 286 forks, while awesome-django (Project B) reports 11.3k stars and 1.5k forks.
  • awesome-django (Project A) reports license NOASSERTION, while awesome-django (Project B) uses CC0-1.0.
  • awesome-django (Project A) does not specify a language, while awesome-django (Project B) lists Python.

Choose awesome-django if you…

  • browse reusable apps and larger Django projects by development area.
  • use its stated maturity and maintenance criteria as a starting point when evaluating entries.
  • explore learning resources alongside package listings, including books, videos, and conferences.
Read the awesome-django analysis →

Choose awesome-django if you…

  • compare Django hosting, deployment tools, and starter projects in one directory.
  • look for developer tools, Python packages used with Django, or static analysis resources.
  • browse dedicated Django REST Framework or Wagtail sections.
Read the awesome-django 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.