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Celery

1.4K
1.5K
+ 1
279
Cucumber

811
832
+ 1
33
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Pros of Celery
Pros of Cucumber
  • 98
    Task queue
  • 63
    Python integration
  • 40
    Django integration
  • 30
    Scheduled Task
  • 19
    Publish/subsribe
  • 8
    Various backend broker
  • 6
    Easy to use
  • 5
    Workflow
  • 5
    Great community
  • 4
    Free
  • 1
    Dynamic
  • 20
    Simple Syntax
  • 6
    Simple usage
  • 4
    Huge community
  • 3
    Nice report

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Cons of Celery
Cons of Cucumber
  • 4
    Sometimes loses tasks
  • 1
    Depends on broker
    Be the first to leave a con

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    - No public GitHub repository available -

    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 Cucumber?

    Cucumber is a tool that supports Behaviour-Driven Development (BDD) - a software development process that aims to enhance software quality and reduce maintenance costs.

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    Jobs that mention Celery and Cucumber as a desired skillset
    CBRE
    United States of America Texas Houston
    CBRE
    United States of America Texas Richardson
    CBRE
    United States of America Texas Richardson
    CBRE
    Poland Mazowieckie Warsaw
    CBRE
    Poland Mazowieckie Warsaw
    What companies use Celery?
    What companies use Cucumber?
    See which teams inside your own company are using Celery or Cucumber.
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    What tools integrate with Celery?
    What tools integrate with Cucumber?

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    Blog Posts

    GitHubPythonNode.js+47
    53
    70776
    JavaScriptGitHubPython+42
    52
    20646
    GitHubPythonSlack+25
    7
    2981
    GitHubPythonDocker+24
    13
    16831
    What are some alternatives to Celery and Cucumber?
    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.
    Airflow
    Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
    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.
    See all alternatives