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Taurus (.1k)

Apache-2.0Python1.16.51

Automation-friendly framework for continuous testing that wraps JMeter, Gatling, Locust.io, and Selenium WebDriver.

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2.1k stars457 forks0 contributors

What is Taurus (.1k)?

Taurus is an automation-friendly framework for continuous testing that wraps popular testing tools like JMeter, Gatling, Locust.io, and Selenium WebDriver. It simplifies the creation and execution of performance and functional tests by abstracting the complexity of underlying engines, making it easier to integrate testing into CI/CD pipelines.

Target Audience

QA engineers, DevOps teams, and developers who need to automate performance and functional testing as part of continuous integration workflows.

Value Proposition

Developers choose Taurus because it provides a unified, easy-to-configure interface for multiple testing tools, reducing the learning curve and enabling faster test automation without deep expertise in each underlying engine.

Overview

Automation-friendly framework for Continuous Testing by

Use Cases

Best For

  • Automating performance tests in CI/CD pipelines
  • Simplifying configuration for JMeter, Gatling, or Locust tests
  • Running functional tests with Selenium WebDriver in an automated workflow
  • Generating test reports from multiple testing tools
  • Creating and maintaining test scenarios using YAML configuration
  • Integrating performance testing into development processes without deep tool expertise

Not Ideal For

  • Projects requiring deep, low-level control over JMeter or Gatling test plans without abstraction layers
  • Teams with extensive, existing test suites in native tools that would be cumbersome to migrate to YAML
  • Scenarios needing interactive GUI-based test design and real-time debugging, as Taurus is CLI-focused

Pros & Cons

Pros

Unified Tool Abstraction

Wraps multiple testing tools like JMeter, Gatling, Locust, and Selenium into a single interface, reducing the learning curve for teams automating diverse tests.

YAML Configuration Simplicity

Uses YAML files to define test scenarios, making test creation and maintenance more straightforward compared to complex XML or code-based configurations in underlying tools.

CI/CD Automation Ready

Provides a command-line tool (bzt) for executing tests and generating reports, seamlessly integrating into continuous integration pipelines as highlighted in the README.

Cross-Platform Compatibility

Works on Linux, Mac OS, and Windows with easy installation via PyPi, ensuring broad accessibility for development teams.

Cons

Setup and Dependency Complexity

Requires separate installation of underlying tools like JMeter, which can be error-prone and add overhead, especially in containerized or CI environments.

Abstraction Limitations

Advanced features of wrapped tools may not be fully exposed, forcing users to resort to native configurations or workarounds, limiting flexibility for complex scenarios.

Documentation Reliance

Heavily depends on external documentation linked in the README, which might not always be up-to-date or cover all edge cases for troubleshooting.

Frequently Asked Questions

Quick Stats

Stars2,108
Forks457
Contributors0
Open Issues13
Last commit2 days ago
CreatedSince 2015

Tags

#continuous-testing#load-testing#jenkins#performance-testing#jmeter#selenium#cli-tool#gatling#python#functional-testing#test-automation#yaml-configuration#performance#locust

Built With

P
Python

Links & Resources

Website

Included in

Integration523
Auto-fetched 18 hours ago

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