From 19757d1859914652a9d245891bb3e29c675e1c7b Mon Sep 17 00:00:00 2001
From: Marcelo Trylesinski <marcelotryle@gmail.com>
Date: Sat, 10 Jun 2023 19:05:42 +0200
Subject: [PATCH] =?UTF-8?q?=F0=9F=94=A5=20Remove=20link=20to=20Pydantic's?=
 =?UTF-8?q?=20benchmark,=20as=20it=20was=20removed=20there=20(#5811)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-authored-by: Sebastián Ramírez <tiangolo@gmail.com>
---
 docs/en/docs/features.md | 2 --
 1 file changed, 2 deletions(-)

diff --git a/docs/en/docs/features.md b/docs/en/docs/features.md
index 387ff86c9..98f37b534 100644
--- 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.