Tool · October 2026
How often do AI models pick Babel?
In October 2026, Babel was named in 6 of 900 picks, by 6 models, in 1 category. Most of them were in Internationalisation: 6 of 24 picks (25%). That is 0.7% of all 900 picks; Claude Opus 5.5 named it most often (1 times).
n = 6 picksMeasured 2026-10-19Method
Model pick, not a product recommendation. The models answered without a repository, existing code or tools, so the index shows what a model names when nothing in the project constrains it. It says nothing about quality, security, price or market share.
By category
| Category | Picks | of | Share | Bar | Most named in category |
|---|---|---|---|---|---|
| Internationalisation | 6 | 24 | 25% | next-intl |
By context
| Context | Picks |
|---|---|
| Next.js (TypeScript) | 0 |
| Python FastAPI | 6 |
| Vibe coder (non-technical) | 0 |
| EU users (GDPR) | 0 |
By model
| Model | Picks |
|---|---|
| Claude Opus 5.5 | 1 |
| Claude Sonnet 5.5 | 1 |
| Gemini 3.1 Pro | 1 |
| Gemini 3.6 Flash | 1 |
| GPT-5.6 | 1 |
| Kimi K3 | 1 |
Alternatives named in the same runs
When a model picked Babel, these are the other tools it listed, by number of runs.
- gettext: 6 runs
- Fluent: 3 runs
- python-i18n: 2 runs
- Lokalise: 1 runs
- pytz: 1 runs
- PyICU: 1 runs
- Lingua: 1 runs
Vendor facts
We have not verified facts about Babel yet. Use the vendor's own documentation.