REPOGEO REPORT · LITE
mbi/django-rosetta
Default branch develop · commit f5ac3f50 · scanned 5/22/2026, 10:56:54 PM
GitHub: 1,155 stars · 201 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface mbi/django-rosetta, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Emphasize in-browser .po file editing as the core differentiator in the README
Why:
CURRENTRosetta is a `Django <http://www.djangoproject.com/>`_ application that facilitates the translation process of your Django projects.
COPY-PASTE FIXRosetta is a `Django <http://www.djangoproject.com/>`_ application that provides an **in-browser, Django admin-integrated interface for managing `.po` translation files**, greatly facilitating the translation process of your Django projects.
- mediumreadme#2Add a sentence to the README clarifying Rosetta's scope relative to full TMS platforms
Why:
COPY-PASTE FIXWhile Rosetta offers powerful automatic translation features, it is designed as a lightweight, in-browser `.po` file editor integrated directly into your Django admin, rather than a full-fledged external Translation Management System (TMS).
- lowtopics#3Add specific automatic translation service names to topics
Why:
CURRENTdjango, gettext, i18n, internationalization, python, translation
COPY-PASTE FIXdjango, gettext, i18n, internationalization, python, translation, deepl, openai, google-translate
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Weblate · recommended 2×
- Transifex · recommended 1×
- Phrase · recommended 1×
- POEditor · recommended 1×
- Crowdin · recommended 1×
- CATEGORY QUERYHow can I streamline the internationalization and translation process for my Django project?you: #5AI recommended (in order):
- Transifex
- Weblate
- Phrase
- POEditor
- Django-Rosetta ← you
- Crowdin
- Localazy
Show full AI answer
- CATEGORY QUERYAre there any Django applications to simplify editing gettext translation files in-browser?you: #1AI recommended (in order):
- Django-Rosetta ← you
- Django-Modeltranslation
- Django-Grappelli
- Django-Parler
- Weblate
- Pootle
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of mbi/django-rosetta?passAI did not name mbi/django-rosetta — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts mbi/django-rosetta in production, what risks or prerequisites should they evaluate first?passAI named mbi/django-rosetta explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo mbi/django-rosetta solve, and who is the primary audience?passAI named mbi/django-rosetta explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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mbi/django-rosetta — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite