Locust Description
An open-source tool for load testing, Locust allows you to define user interactions using Python code and can bombard your system with millions of concurrent users. Forget about cumbersome user interfaces or complex XML configurations—it's all about straightforward coding. This tool also supports distributed load testing across multiple machines, enabling the simulation of vast numbers of simultaneous users. A key aspect of Locust is that you can articulate all your tests directly in Python code, eliminating the need for unwieldy interfaces. Installation is a breeze, as you can simply obtain Locust from PyPI via pip. By leveraging Python for test definitions, users can easily customize and optimize their load tests as needed.
Locust Alternatives
Parasoft
Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software.
A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.
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Docmosis
Docmosis is a self-hosted or SaaS template-based document generation solution. Integrate with custom-built software applications or popular third-party apps using the API.
Create templates using MS Word or LibreOffice. Add plain-text placeholders to control: the insertion of text/images/tables; conditionally add/remove any content; perform calculations; loop over repeating data; format data/numbers and much more.
Integrate with: Custom software built using Java, C#, Python, PHP, Ruby and more via a REST API; Low-code and no-code platforms like Appian, Bubble, Mendix, Outsystems; Third-party form builders or apps that can perform a webhook such as FormAssembly or Salesforce.
Used by customers in Finance, Health, Legal, Education, Government, HR, Insurance, Logistics, and Manufacturing to generate customized letters invoices, proposals, contracts, statements, reports and more.
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WebLOAD
RadView WebLOAD is a leading enterprise AI-based performance and load testing solution for testing web, mobile, and packaged applications. It supports over 150 protocols and technologies, including all common front-end frameworks, APIs, message queues, and databases, enabling load testing across any enterprise technology stack.
RadView WebLOAD.AI, is available as SaaS and can also be self-hosted in the cloud or on-premise. It is highly scalable and can simulate hundreds of thousands of concurrent users from different locations and cloud platforms.
Smart and easy generation of reliable tests and its powerful AI-based analytics capabilities, RadView WebLOAD makes performance teams highly successful in detecting and quickly resolving performance issues.
With built-in integration into most of the popular Testing, CI/CD and APM tools, as well as a rich API that makes it easily pluggable into any delivery pipeline. Adding its built-in flexible deployment, it makes RadView WebLOAD easily adaptable into any development, testing, or operation environment, and processes.
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NeoLoad
Software for continuous performance testing to automate API load and application testing. For complex applications, you can design code-free performance tests. Script performance tests in automated pipelines for API test. You can design, maintain, and run performance tests in code. Then analyze the results within continuous integration pipelines with pre-packaged plugins for CI/CD tools or the NeoLoad API. You can quickly create test scripts for large, complex applications with a graphical user interface. This allows you to skip the tedious task of manually coding new or updated tests. SLAs can be defined based on the built-in monitoring metrics. To determine the app's performance, put pressure on it and compare SLAs with server-level statistics. Automate pass/fail triggers using SLAs. Contributes to root cause analysis. Automatic test script updates make it easier to update test scripts. For easy maintenance, update only the affected part of the test and re-use any remaining.
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Company:
Locust
Website:
locust.io
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