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5 changes: 3 additions & 2 deletions docs/faq.md
Original file line number Diff line number Diff line change
Expand Up @@ -65,8 +65,9 @@ Use `fd.profile(df)`, `fd.suggest_plan(df)`, or `fd.compare_plans(df)`.

## Is it production-ready?

`freshdata` is typed (`py.typed`), has 800+ tests with 95%+ coverage, runs on
Python 3.9–3.13, and is validated against 50 real public datasets in CI.
`freshdata` is typed (`py.typed`), has 1,200+ tests with a 93% coverage gate
enforced in CI, runs on Python 3.9–3.13, and is validated against 50 real public
datasets in CI.

## How do I report a bug or request a feature?

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2 changes: 1 addition & 1 deletion docs/feature-overview.md
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Expand Up @@ -18,7 +18,7 @@ keywords: freshdata features, data cleaning features, pii masking, data trust sc
| Profiling | `fd.profile(df)` — read-only data-quality insight using the same inference as `clean`. |
| Plans & comparisons | `fd.suggest_plan`, `fd.compare_plans`, `fd.compare_clean`, `fd.explain_clean`. |
| Safe defaults | Targets, IDs, and free-text columns are protected from leakage and corruption. |
| Typed & tested | `py.typed`, 800+ tests, 95%+ coverage, mypy-clean. |
| Typed & tested | `py.typed`, 1,200+ tests, 93% coverage gate enforced in CI, mypy-clean. |
| pandas-first | Pure pandas + NumPy core; no heavy dependencies required. |

## The enterprise layer
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