🔥 Remove link to Pydantic's benchmark, as it was removed there (#5811)

Co-authored-by: Sebastián Ramírez <tiangolo@gmail.com>

diff --git a/docs/en/docs/features.md b/docs/en/docs/features.md
index 387ff86c992344376eef1839dd03f5efc5317b1f..98f37b5344580bccf38e52f3c7b641d9e261db41 100644 (file)
--- a/docs/en/docs/features.md
+++ b/docs/en/docs/features.md
@@ -189,8 +189,6 @@ With **FastAPI** you get all of **Pydantic**'s features (as FastAPI is based on
     * If you know Python types you know how to use Pydantic.
 * Plays nicely with your **<abbr title="Integrated Development Environment, similar to a code editor">IDE</abbr>/<abbr title="A program that checks for code errors">linter</abbr>/brain**:
     * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
-* **Fast**:
-    * in <a href="https://pydantic-docs.helpmanual.io/benchmarks/" class="external-link" target="_blank">benchmarks</a> Pydantic is faster than all other tested libraries.
 * Validate **complex structures**:
     * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
     * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.