You can also use the `--workers` command line option to have an asynchronous multi-process server.

Check more details in the [Deployment](deployment/index.md) section.

///

## Benchmarks and speed { #benchmarks-and-speed }

[![MinIO](https://raw.githubusercontent.com/minio/minio/master/.github/logo.svg?sanitize=true)](https://min.io)

MinIO is a high-performance, S3-compatible object storage solution released under the GNU AGPL v3.0 license.
Designed for speed and scalability, it powers AI/ML, analytics, and data-intensive workloads with industry-leading performance.

- S3 API Compatible – Seamless integration with existing S3 tools

    @Required
    @Min(-1)
    @Max(1000)
    @ValidateTypeFailure
    public Integer dayForCleanup;

    /**
     * Number of threads to use for crawling operations.
     * Higher values increase crawling speed but consume more resources.
     */
    @Required
    @Min(0)
    @Max(100)
    @ValidateTypeFailure
    public Integer crawlingThreadCount;

    /**
     * Enable or disable search query logging.

	if objAPI == nil {
		return errServerNotInitialized
	}

	sys.objAPI = objAPI

	// Load bucket metadata sys.
	sys.init(ctx, buckets)
	return nil
}

// concurrently load bucket metadata to speed up loading bucket metadata.
func (sys *BucketMetadataSys) concurrentLoad(ctx context.Context, buckets []string) {
	g := errgroup.WithNErrs(len(buckets))
	bucketMetas := make([]BucketMetadata, len(buckets))

The key features are:

* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *

That "wait for something else" normally refers to <abbr title="Input and Output">I/O</abbr> operations that are relatively "slow" (compared to the speed of the processor and the RAM memory), like waiting for:

* the data from the client to be sent through the network
* the data sent by your program to be received by the client through the network

/// check | **FastAPI** 推荐将其作为：

运行 **FastAPI** 应用的主要 Web 服务器。

你也可以使用 `--workers` 命令行选项以获得异步的多进程服务器。

更多细节见[部署](deployment/index.md)一节。

///

## 基准与速度 { #benchmarks-and-speed }

[github help page](https://help.github.com/articles/fork-a-repo) for help.

Further instructions for specific projects are given below.

### Tips for code changes
Following these tips prior to raising a pull request will speed up the review
cycle.

* Add appropriate unit tests (details on writing tests can be found in the
  [TESTING](TESTING.asciidoc) file)
* Add integration tests, if applicable

Але переглядаючи бенчмарки та порівняння, майте на увазі таке.

## Бенчмарки та швидкість { #benchmarks-and-speed }

Під час перегляду бенчмарків часто порівнюють кілька інструментів різних типів як рівноцінні.

Зокрема, разом порівнюють Uvicorn, Starlette і FastAPI (серед багатьох інших інструментів).

Fakat kıyaslamaları ve karşılaştırmaları incelerken şunları aklınızda bulundurmalısınız.

## Kıyaslamalar ve Hız { #benchmarks-and-speed }

Kıyaslamalara baktığınızda, farklı türlerdeki birkaç aracın eşdeğermiş gibi karşılaştırıldığını görmek yaygındır.