From dbdd570bbc94c92af29d3bfbbd13252e5ab9ced8 Mon Sep 17 00:00:00 2001
From: Marcelo Trylesinski <marcelotryle@gmail.com>
Date: Tue, 27 Dec 2022 14:25:20 +0100
Subject: [PATCH] Remove link to Pydantic's benchmark

---
 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 387ff86c99234..98f37b5344580 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.