Update sponsors (#2003)

* Update sponsors * Update sponsors
koxudaxi · Jun 13, 2024 · 301868b · 301868b
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diff --git a/README.md b/README.md
@@ -16,9 +16,6 @@ and [msgspec.Struct](https://github.com/jcrist/msgspec) from an openapi file and
 ## Help
 See [documentation](https://koxudaxi.github.io/datamodel-code-generator) for more details.
 
-## Sponsors
-[![JetBrains](https://avatars.githubusercontent.com/u/60931315?s=200&v=4)](https://github.com/JetBrainsOfficial)
-
 ## Quick Installation
 
 To install `datamodel-code-generator`:
@@ -236,6 +233,45 @@ class Apis(BaseModel):
 ```
 </details>
 
+## Supported input types
+-  OpenAPI 3 (YAML/JSON, [OpenAPI Data Type](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#data-types));
+-  JSON Schema ([JSON Schema Core](http://json-schema.org/draft/2019-09/json-schema-validation.html)/[JSON Schema Validation](http://json-schema.org/draft/2019-09/json-schema-validation.html));
+-  JSON/YAML/CSV Data (it will be converted to JSON Schema);
+-  Python dictionary (it will be converted to JSON Schema);
+-  GraphQL schema ([GraphQL Schemas and Types](https://graphql.org/learn/schema/));
+
+## Supported output types
+- [pydantic](https://docs.pydantic.dev/1.10/).BaseModel;
+- [pydantic_v2](https://docs.pydantic.dev/2.0/).BaseModel;
+- [dataclasses.dataclass](https://docs.python.org/3/library/dataclasses.html);
+- [typing.TypedDict](https://docs.python.org/3/library/typing.html#typing.TypedDict);
+- [msgspec.Struct](https://github.com/jcrist/msgspec);
+- Custom type from your [jinja2](https://jinja.palletsprojects.com/en/3.1.x/) template;
+
+## Sponsors
+<table>
+  <tr>
+    <td valign="top" align="center">
+    <a href="https://github.com/JetBrainsOfficial">
+      <img src="https://avatars.githubusercontent.com/u/60931315?s=100&v=4" alt="JetBrains Logo" style="width: 100px;">
+      <p>JetBrains</p>
+    </a>
+    </td>
+  <td valign="top" align="center">
+    <a href="https://github.com/astral-sh">
+      <img src="https://avatars.githubusercontent.com/u/115962839?s=200&v=4" alt="Astral Logo" style="width: 100px;">
+      <p>Astral</p>
+    </a>
+  </td>
+  <td valign="top" align="center">
+    <a href="https://github.com/DataDog">
+      <img src="https://avatars.githubusercontent.com/u/365230?s=200&v=4" alt="Datadog, Inc. Logo" style="width: 100px;">
+      <p>Datadog, Inc.</p>
+    </a>
+  </td>
+  </tr>
+</table>
+
 ## Projects that use datamodel-code-generator
  
 These OSS projects use datamodel-code-generator to generate many models. 
@@ -267,21 +303,6 @@ See the following linked projects for real world examples and inspiration.
 - [SeldonIO/MLServer](https://github.com/SeldonIO/MLServer)
   - *[generate-types.sh](https://github.com/SeldonIO/MLServer/blob/master/hack/generate-types.sh)*
 
-## Supported input types
--  OpenAPI 3 (YAML/JSON, [OpenAPI Data Type](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#data-types));
--  JSON Schema ([JSON Schema Core](http://json-schema.org/draft/2019-09/json-schema-validation.html)/[JSON Schema Validation](http://json-schema.org/draft/2019-09/json-schema-validation.html));
--  JSON/YAML/CSV Data (it will be converted to JSON Schema);
--  Python dictionary (it will be converted to JSON Schema);
--  GraphQL schema ([GraphQL Schemas and Types](https://graphql.org/learn/schema/));
-
-## Supported output types
-- [pydantic](https://docs.pydantic.dev/1.10/).BaseModel;
-- [pydantic_v2](https://docs.pydantic.dev/2.0/).BaseModel;
-- [dataclasses.dataclass](https://docs.python.org/3/library/dataclasses.html);
-- [typing.TypedDict](https://docs.python.org/3/library/typing.html#typing.TypedDict);
-- [msgspec.Struct](https://github.com/jcrist/msgspec);
-- Custom type from your [jinja2](https://jinja.palletsprojects.com/en/3.1.x/) template;
-
 ## Installation
 
 To install `datamodel-code-generator`:
@@ -319,6 +340,7 @@ This method needs the [http extra option](#http-extra-option)
 ## All Command Options
 
 The `datamodel-codegen` command:
+
 ```bash
 usage:
   datamodel-codegen [options]

diff --git a/docs/index.md b/docs/index.md
@@ -12,9 +12,6 @@ This code generator creates [pydantic v1 and v2](https://docs.pydantic.dev/) mod
 [![Pydantic v1](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v1.json)](https://pydantic.dev)
 [![Pydantic v2](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v2.json)](https://pydantic.dev)
 
-## Sponsors
-[![JetBrains](https://avatars.githubusercontent.com/u/60931315?s=200&v=4)](https://github.com/JetBrainsOfficial)
-
 ## Quick Installation
 
 To install `datamodel-code-generator`:
@@ -232,6 +229,44 @@ class Apis(BaseModel):
 ```
 </details>
 
+## Supported input types
+-  OpenAPI 3 (YAML/JSON, [OpenAPI Data Type](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#data-types));
+-  JSON Schema ([JSON Schema Core](http://json-schema.org/draft/2019-09/json-schema-validation.html)/[JSON Schema Validation](http://json-schema.org/draft/2019-09/json-schema-validation.html));
+-  JSON/YAML/CSV Data (it will be converted to JSON Schema);
+-  Python dictionary (it will be converted to JSON Schema);
+-  GraphQL schema ([GraphQL Schemas and Types](https://graphql.org/learn/schema/));
+
+## Supported output types
+- [pydantic](https://docs.pydantic.dev/1.10/).BaseModel;
+- [pydantic_v2](https://docs.pydantic.dev/2.0/).BaseModel;
+- [dataclasses.dataclass](https://docs.python.org/3/library/dataclasses.html);
+- [typing.TypedDict](https://docs.python.org/3/library/typing.html#typing.TypedDict);
+- [msgspec.Struct](https://github.com/jcrist/msgspec);
+- Custom type from your [jinja2](https://jinja.palletsprojects.com/en/3.1.x) template;
+
+## Sponsors
+<table>
+  <tr>
+    <td valign="top" align="center">
+    <a href="https://github.com/JetBrainsOfficial">
+      <img src="https://avatars.githubusercontent.com/u/60931315?s=100&v=4" alt="JetBrains Logo" style="width: 100px;">
+      <p>JetBrains</p>
+    </a>
+    </td>
+  <td valign="top" align="center">
+    <a href="https://github.com/astral-sh">
+      <img src="https://avatars.githubusercontent.com/u/115962839?s=200&v=4" alt="Astral Logo" style="width: 100px;">
+      <p>Astral</p>
+    </a>
+  </td>
+  <td valign="top" align="center">
+    <a href="https://github.com/DataDog">
+      <img src="https://avatars.githubusercontent.com/u/365230?s=200&v=4" alt="Datadog, Inc. Logo" style="width: 100px;">
+      <p>Datadog, Inc.</p>
+    </a>
+  </td>
+  </tr>
+</table>
 ## Projects that use datamodel-code-generator
 
 These OSS projects use datamodel-code-generator to generate many models. 
@@ -263,21 +298,6 @@ See the following linked projects for real world examples and inspiration.
 - [SeldonIO/MLServer](https://github.com/SeldonIO/MLServer)
     - *[generate-types.sh](https://github.com/SeldonIO/MLServer/blob/master/hack/generate-types.sh)*
 
-## Supported input types
--  OpenAPI 3 (YAML/JSON, [OpenAPI Data Type](https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#data-types));
--  JSON Schema ([JSON Schema Core](http://json-schema.org/draft/2019-09/json-schema-validation.html)/[JSON Schema Validation](http://json-schema.org/draft/2019-09/json-schema-validation.html));
--  JSON/YAML/CSV Data (it will be converted to JSON Schema);
--  Python dictionary (it will be converted to JSON Schema);
--  GraphQL schema ([GraphQL Schemas and Types](https://graphql.org/learn/schema/));
-
-## Supported output types
-- [pydantic](https://docs.pydantic.dev/1.10/).BaseModel;
-- [pydantic_v2](https://docs.pydantic.dev/2.0/).BaseModel;
-- [dataclasses.dataclass](https://docs.python.org/3/library/dataclasses.html);
-- [typing.TypedDict](https://docs.python.org/3/library/typing.html#typing.TypedDict);
-- [msgspec.Struct](https://github.com/jcrist/msgspec);
-- Custom type from your [jinja2](https://jinja.palletsprojects.com/en/3.1.x) template;
-
 ## Installation
 
 To install `datamodel-code-generator`: