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Celery
Celery

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simplehttp
simplehttp

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Celery vs simplehttp: What are the differences?

What is Celery? Distributed task queue. Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

What is simplehttp? A family of libraries and daemons built upon libevent that make high performance HTTP servers simple and straightforward to write. .

Celery and simplehttp can be categorized as "Message Queue" tools.

Celery and simplehttp are both open source tools. Celery with 12.9K GitHub stars and 3.33K forks on GitHub appears to be more popular than simplehttp with 480 GitHub stars and 73 GitHub forks.

What is Celery?

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

What is simplehttp?

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Why do developers choose Celery?
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      What tools integrate with Celery?
      What tools integrate with simplehttp?
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        What are some alternatives to Celery and simplehttp?
        RabbitMQ
        RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
        Kafka
        Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
        Amazon SQS
        Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
        ActiveMQ
        Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.
        ZeroMQ
        The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.
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        Decisions about Celery and simplehttp
        James Cunningham
        James Cunningham
        Operations Engineer at Sentry · | 18 upvotes · 77.9K views
        atSentrySentry
        RabbitMQ
        RabbitMQ
        Celery
        Celery
        #MessageQueue

        As Sentry runs throughout the day, there are about 50 different offline tasks that we execute—anything from “process this event, pretty please” to “send all of these cool people some emails.” There are some that we execute once a day and some that execute thousands per second.

        Managing this variety requires a reliably high-throughput message-passing technology. We use Celery's RabbitMQ implementation, and we stumbled upon a great feature called Federation that allows us to partition our task queue across any number of RabbitMQ servers and gives us the confidence that, if any single server gets backlogged, others will pitch in and distribute some of the backlogged tasks to their consumers.

        #MessageQueue

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        Reviews of Celery and simplehttp
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        How developers use Celery and simplehttp
        Avatar of Kalibrr
        Kalibrr uses CeleryCelery

        All of our background jobs (e.g., image resizing, file uploading, email and SMS sending) are done through Celery (using Redis as its broker). Celery's scheduling and retrying features are especially useful for error-prone tasks, such as email and SMS sending.

        Avatar of Cloudify
        Cloudify uses CeleryCelery

        For orchestrating the creation of the correct number of instances, managing errors and retries, and finally managing the deallocation of resources we use RabbitMQ in conjunction with the Celery Project framework, along with a self-developed workflow engine.

        Avatar of MOKA Analytics
        MOKA Analytics uses CeleryCelery

        We maintain a fork of Celery 3 that adds HTTPS support for Redis brokers. The Winning Model currently uses Celery 3 because Celery 4 dropped support for Windows.

        We plan on migrating to Celery 4 once Azure ASE supports Linux apps

        Avatar of Yaakov Gesher
        Yaakov Gesher uses CeleryCelery

        We used celery, in combination with RabbitMQ and celery-beat, to run periodic tasks, as well as some user-initiated long-running tasks on the server.

        Avatar of Dieter Adriaenssens
        Dieter Adriaenssens uses CeleryCelery

        Using Celery, the web service creates tasks that are executed by a background worker. Celery uses a RabbitMQ instance as a task queue.

        How much does Celery cost?
        How much does simplehttp cost?
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