update benchmarks

docs/.benchmarks_table.md

@@ -2,10 +2,12 @@
 
 Package | Version | Relative Performance | Mean validation time
 --- | --- | --- | ---
-pydantic | `1.1` |  | 43.6μs
-attrs + cattrs | `19.3.0` | 1.4x slower | 59.9μs
-valideer | `0.4.2` | 1.4x slower | 61.8μs
-marshmallow | `3.2.2` | 2.5x slower | 107.6μs
-trafaret | `2.0.0` | 3.4x slower | 148.7μs
-django-rest-framework | `3.10.3` | 12.6x slower | 551.2μs
-cerberus | `1.3.2` | 26.3x slower | 1146.3μs
+pydantic | `1.7.3` |  | 93.7μs
+attrs + cattrs | `20.3.0` | 1.5x slower | 143.6μs
+valideer | `0.4.2` | 1.9x slower | 175.9μs
+marshmallow | `3.10.0` | 2.4x slower | 227.6μs
+voluptuous | `0.12.1` | 2.7x slower | 257.5μs
+trafaret | `2.1.0` | 3.2x slower | 296.7μs
+schematics | `2.1.0` | 10.2x slower | 955.5μs
+django-rest-framework | `3.12.2` | 12.3x slower | 1148.4μs
+cerberus | `1.3.2` | 25.9x slower | 2427.6μs

docs/benchmarks.md

@@ -5,4 +5,4 @@ Below are the results of crude benchmarks comparing *pydantic* to other validati
 See [the benchmarks code](https://github.com/samuelcolvin/pydantic/tree/master/benchmarks)
 for more details on the test case. Feel free to suggest more packages to benchmark or improve an existing one.
 
-Benchmarks were run with Python 3.7.4 and the package versions listed above installed via pypi on Ubuntu 18.04.
+Benchmarks were run with Python 3.8.6 and the package versions listed above installed via pypi on macOS Bug Sur.