Celery vs Cucumber

Overview

Celery

Stacks1.7K

Followers1.6K

Votes280

GitHub Stars27.5K

Forks4.9K

Cucumber

Stacks1.4K

Followers927

Votes36

Celery vs Cucumber: What are the differences?

Celery and Cucumber are two popular tools used in software development, but they have distinct differences that set them apart.

Architecture: Celery is a distributed task queue system whereas Cucumber is a testing tool used for BDD (Behavior-Driven Development) testing. Celery is primarily used for executing tasks asynchronously while Cucumber focuses on writing acceptance tests in a readable format.
Programming Language: Celery is written in Python and is commonly used in Python-based projects, while Cucumber is implemented in Ruby and is widely used in Ruby on Rails applications. This difference in programming language can affect the ease of integration with existing codebases.
Functionality: Celery is designed for executing tasks such as sending emails, processing data, etc., in the background, while Cucumber is focused on behavior-driven development testing where scenarios are defined in plain text and can be executed using step definitions.
Integration: Celery can be easily integrated with various frameworks and technologies like Django, Flask, and RabbitMQ, making it a versatile choice for task scheduling and background processing. Cucumber, on the other hand, is mainly used with Ruby-based frameworks and tools like Capybara for testing web applications.
Community Support: Celery has a larger community of users and contributors compared to Cucumber, which means there are more resources, plugins, and documentation available for Celery. This can be beneficial in terms of resolving issues, getting help, and staying updated on the latest features and updates.
Purpose: While Celery is primarily used for background task processing and scheduling, Cucumber's main purpose is to facilitate BDD testing and collaboration between developers, QA engineers, and other stakeholders to ensure the software meets the desired behavior and functionality.

In Summary, Celery and Cucumber differ in architecture, programming language, functionality, integration possibilities, community support, and purpose within the software development ecosystem.

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CLI (Node.js)

Manual

Detailed Comparison

Celery	Cucumber
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.	Cucumber is a tool that supports Behaviour-Driven Development (BDD) - a software development process that aims to enhance software quality and reduce maintenance costs.
Statistics
GitHub Stars 27.5K	GitHub Stars -
GitHub Forks 4.9K	GitHub Forks -
Stacks 1.7K	Stacks 1.4K
Followers 1.6K	Followers 927
Votes 280	Votes 36
Pros & Cons
Pros 99 Task queue 63 Python integration 40 Django integration 30 Scheduled Task 19 Publish/subsribe Cons 4 Sometimes loses tasks 1 Depends on broker	Pros 20 Simple Syntax 8 Simple usage 5 Huge community 3 Nice report

What are some alternatives to Celery, Cucumber?

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

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.

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

Robot Framework

It is a generic test automation framework for acceptance testing and acceptance test-driven development. It has easy-to-use tabular test data syntax and it utilizes the keyword-driven testing approach. Its testing capabilities can be extended by test libraries implemented either with Python or Java, and users can create new higher-level keywords from existing ones using the same syntax that is used for creating test cases.

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

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.

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

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Celery vs Cucumber: What are the differences?

Celery and Cucumber are two popular tools used in software development, but they have distinct differences that set them apart.

Architecture: Celery is a distributed task queue system whereas Cucumber is a testing tool used for BDD (Behavior-Driven Development) testing. Celery is primarily used for executing tasks asynchronously while Cucumber focuses on writing acceptance tests in a readable format.
Programming Language: Celery is written in Python and is commonly used in Python-based projects, while Cucumber is implemented in Ruby and is widely used in Ruby on Rails applications. This difference in programming language can affect the ease of integration with existing codebases.
Functionality: Celery is designed for executing tasks such as sending emails, processing data, etc., in the background, while Cucumber is focused on behavior-driven development testing where scenarios are defined in plain text and can be executed using step definitions.
Integration: Celery can be easily integrated with various frameworks and technologies like Django, Flask, and RabbitMQ, making it a versatile choice for task scheduling and background processing. Cucumber, on the other hand, is mainly used with Ruby-based frameworks and tools like Capybara for testing web applications.
Community Support: Celery has a larger community of users and contributors compared to Cucumber, which means there are more resources, plugins, and documentation available for Celery. This can be beneficial in terms of resolving issues, getting help, and staying updated on the latest features and updates.
Purpose: While Celery is primarily used for background task processing and scheduling, Cucumber's main purpose is to facilitate BDD testing and collaboration between developers, QA engineers, and other stakeholders to ensure the software meets the desired behavior and functionality.

In Summary, Celery and Cucumber differ in architecture, programming language, functionality, integration possibilities, community support, and purpose within the software development ecosystem.