dribia.png...

    title: InterviewPal - AI Interview Coach for Engineers and Devs
    img: https://fastapi.tiangolo.com/img/sponsors/interviewpal.png
  - url: https://dribia.com/en/
    title: Dribia - Data Science within your reach
    img: https://fastapi.tiangolo.com/img/sponsors/dribia.png
bronze:
  - url: https://www.exoflare.com/open-source/?utm_source=FastAPI&utm_campaign=open_source
    title: Biosecurity risk assessments made easy.

  - Kong
  - speakeasy-api
  - jess-render
  - blockbee-io
  - liblaber
  - render-sponsorships
  - renderinc
  - stainless-api
  - snapit-cypher
  - coderabbitai
  - permitio
  - LambdaTest-Inc
  - dribia
  - madisonredtfeldt
  - railwayapp

En esos casos, probablemente desearías construir una **imagen de Docker desde cero** como se [explica arriba](#dockerfile), instalando tus dependencias, y ejecutando **un solo proceso de Uvicorn** en lugar de usar múltiples workers de Uvicorn.

### Load Balancer

    url: https://github.com/railwayapp
  - login: scalar
    avatarUrl: https://avatars.githubusercontent.com/u/301879?v=4
    url: https://github.com/scalar
- - login: dribia
    avatarUrl: https://avatars.githubusercontent.com/u/41189616?v=4
    url: https://github.com/dribia
  - login: svix
    avatarUrl: https://avatars.githubusercontent.com/u/80175132?v=4
    url: https://github.com/svix
  - login: stainless-api

          "type":       "keyword_marker",
          "keywords": ["สวัสดี", "โลก", "ค้นหา"]
        },
        "turkish_stop": {
          "type":       "stop",

          "type":       "keyword_marker",
          "keywords_path": "${fess.dictionary.path}ar/protwords.txt"
        },
        "arabic_stemmer": {
          "type":       "stemmer",
          "language":   "arabic"
        },
        "arabic_override": {
          "type":       "stemmer_override",
          "rules_path": "${fess.dictionary.path}ar/stemmer_override.txt"
        },
        "armenian_stop": {

* Per le richieste `PUT` su `/items/{item_id}`, leggerà il body come JSON, questo comprende:
    * verifica che la richiesta abbia un attributo obbligatorio `name` e che sia di tipo `str`.
    * verifica che la richiesta abbia un attributo obbligatorio `price` e che sia di tipo `float`.
    * verifica che la richiesta abbia un attributo opzionale `is_offer` e che sia di tipo `bool`, se presente.

<a href="https://dribia.com/en/" target="_blank" title="Dribia - Data Science within your reach"><img src="https://fastapi.tiangolo.com/img/sponsors/dribia.png"></a>

<!-- /sponsors -->

<a href="https://fastapi.tiangolo.com/fastapi-people/#sponsors" class="external-link" target="_blank">Other sponsors</a>

Las tareas principales que puedes hacer ahora son:

* [Ayudar a otros con preguntas en GitHub](#help-others-with-questions-in-github){.internal-link target=_blank} (ver la sección arriba).
* [Revisar Pull Requests](#review-pull-requests){.internal-link target=_blank} (ver la sección arriba).

Esas dos tareas son las que **consumen más tiempo**. Ese es el trabajo principal de mantener FastAPI.