Best Load Testing Tools for GitLab

Find and compare the best Load Testing tools for GitLab in 2026

Use the comparison tool below to compare the top Load Testing tools for GitLab on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Parasoft Reviews
    Top Pick

    Parasoft

    Parasoft

    $35/user/mo
    140 Ratings
    See Tool
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    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.
  • 2
    Insomnia Reviews

    Insomnia

    Kong

    $5 per month
    Craft, troubleshoot, and evaluate APIs with a human touch rather than a mechanical approach. At last, a workflow that you'll genuinely appreciate. Introducing the Collaborative API Design Tool, which provides a platform for creating, validating, and overseeing OpenAPI specifications. This Desktop API client facilitates interactions with both REST and GraphQL. You can make requests and analyze responses seamlessly. Effortlessly create and organize your requests, set up environment variables, manage authentication, produce code snippets, and much more. Dive deep into response details—explore the entire request timeline, including status codes, body, headers, cookies, and additional information. Organize your project with workspaces, folders, and environments, utilizing a drag-and-drop interface for requests, along with straightforward data import and export options. Within a single collaborative API design editor, you can create, modify, lint, troubleshoot, preview, and manage your OpenAPI specifications. Additionally, generate configurations for popular API gateways such as the Kong API Gateway and Kong for Kubernetes. Synchronize your API designs with version control systems like GitHub or GitLab, and deploy directly to API gateways such as Kong with just a click, streamlining your development process significantly. This tool not only enhances productivity but also fosters collaboration among teams in designing robust APIs.
  • 3
    Appvance Reviews
    Appvance IQ (AIQ), delivers transformative productivity gains and lower costs for both test creation and execution. It offers both AI-driven (fully automated tests) and 3rd-generation codeless scripting for test creation. These scripts are then executed using data-driven functional and performance, app-pen, and API testing -- both for web and mobile apps. AIQ's self healing technology allows you to cover all code with only 10% of the effort required by traditional testing systems. AIQ detects important bugs automatically and with minimal effort. No programming, scripting, logs, or recording are required. AIQ can be easily integrated with your existing DevOps tools, processes, and tools.
  • 4
    NeoLoad Reviews
    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.
  • 5
    SOAtest Reviews
    PARASOFT SOATEST Artificial Intelligence and Machine Learning Power APIs and Web Service Testing Tools Parasoft SOAtest is based on artificial intelligence (AI), machine learning (ML), and simplifies functional testing across APIs and UIs. The API and web service testing tool is perfect for Agile DevOps environments because it uses continuous quality monitoring systems to monitor the quality of change management systems. Parasoft SOAtest is a fully integrated API and web-service testing tool that automates end-to-end functional API test automation. Automated testing is simplified with advanced functional test-creation capabilities. This applies to applications with multiple interfaces (REST and SOAP APIs as well as microservices, databases, etc.). These tools reduce security breaches and performance issues by turning functional testing artifacts in security and load equivalents. This allows for faster and more efficient testing, while also allowing continuous monitoring of API changes.
  • 6
    BMC Compuware Hiperstation Reviews
    Accelerate Testing Processes to Fulfill Performance Expectations Hiperstation offers automated solutions for load, performance, and regression testing, empowering DevOps teams to conduct a greater volume of tests in a shorter timeframe while maintaining a steady approach, thus ensuring that applications adhere to both performance and reliability standards for production. This platform allows developers to generate tests that are automated, consistent, and repeatable, effectively mirroring the business requirements of the applications. It facilitates pre-production performance evaluations for both applications and systems software, enabling teams to scrutinize test outcomes and pinpoint any differences in application responses. Additionally, it meticulously documents the testing results of mainframe applications. Hiperstation also simulates server responses during user interface testing and allows for testing of changes in operating systems, language environments, or subsystems, as well as application modifications that do not involve user interfaces. Ultimately, this tool enhances the overall efficiency and effectiveness of the testing process within development teams.
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