Compare the Top Load Testing Tools that integrate with GitHub as of July 2026

This a list of Load Testing tools that integrate with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.

What are Load Testing Tools for GitHub?

Load testing tools help organizations evaluate how applications, websites, APIs, and systems perform under expected and peak user traffic conditions. These tools simulate large numbers of concurrent users, requests, or transactions to identify bottlenecks, stability issues, and performance limitations before production deployment. They often provide real-time metrics such as response times, throughput, error rates, and resource utilization to help teams optimize infrastructure and application performance. Many load testing platforms integrate with CI/CD pipelines, observability tools, and cloud environments to support continuous performance testing at scale. By proactively validating scalability and reliability, load testing tools help organizations deliver faster, more stable, and high-performing digital experiences. Compare and read user reviews of the best Load Testing tools for GitHub currently available using the table below. This list is updated regularly.

  • 1
    Parasoft

    Parasoft

    Parasoft

    "Parasoft delivers an AI‑powered software testing platform that helps organizations continuously release high‑quality software. Our solutions support embedded and enterprise teams by integrating code analysis, testing, virtualization, and coverage into the delivery pipeline to improve security, reliability, and compliance while reducing cost and effort. Parasoft C/C++test provides static analysis, unit testing, code coverage, and requirements traceability for C and C++ applications. It integrates with Eclipse and Visual Studio, supports CI/CD automation, and is TÜV‑certified for safety‑ and security‑critical systems. Parasoft C/C++test CT is a scalable, compliance‑ready solution for C and C++ teams. It integrates into CI/CD workflows, supports open‑source unit testing frameworks, containers, VS Code, Bazel build systems, eliminates IDE dependencies, and is TÜV‑certified for safety‑ and security‑critical development."
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    Starting Price: $35/user/mo
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  • 2
    k6

    k6

    k6

    The best developer experience for load testing. Open source load testing tool and SaaS for engineering teams. The k6 API and CLI are easy-to-use, flexible and powerful. Write tests in Javascript that mimic real-world scenarios. Automate your tests to ensure that your infrastructure and application remain performant. Configure SLOs in your k6 script to test the health of your services. Create tests faster with our browser recorder and converters (JMeter, Postman, Swagger). Extensive documentation, awesome community and first class support. No XML. No DSL. Just familiar scripting with ES6 JS.
    Starting Price: $99.00/month
  • 3
    Insomnia
    Design, debug, and test APIs like a human, not a robot. Finally, a workflow you'll love. The Collaborative API Design Tool for designing, testing and managing OpenAPI specifications. The Desktop API client for REST and GraphQL. Make requests, inspect responses. Quickly create and group requests, specify environment variables, authentication, generate code snippets, and more. Get all the details on responses. View the whole request timeline, status codes, body, headers, cookies, and more. Create workspaces, folders, environments, drag-and-drop requests, and easily import and export your data. Create, edit, lint, debug, preview, and manage all of your OpenAPI specs in one collaborative API design editor. Generate configuration for common API gateways such as the Kong API Gateway, and Kong for Kubernetes. Sync your API designs with source control such as Github / Gitlab, and deploy directly to API Gateways such as Kong with one click.
    Starting Price: $5 per month
  • 4
    Loader.io

    Loader.io

    SendGrid

    Loader.io is a FREE load testing service that allows you to stress test your web-apps & apis with thousands of concurrent connections. Use the web-interface or API to register your app for testing. We'll simulate connections to your application for the duration. Monitor the test in real-time, then share the results with your team.
    Starting Price: $99.95 per month
  • 5
    Artillery

    Artillery

    Artillery

    Artillery is a full-stack performance and reliability testing platform that helps teams keep apps fast and reliable with load testing, scalable Playwright E2E testing, and production monitoring in one toolkit. It is modern, powerful, easy to use, incrementally adoptable, and built to work with coding agents. Engineering teams use Artillery to test and optimize applications so they stay performant and resilient under high load, testing everything from APIs to full browser experiences with the same TypeScript and JavaScript skills they already have. Artillery supports HTTP APIs, WebSocket and Socket.io services, SOAP, GraphQL, and complex web apps with real browsers. It includes built-in distributed load testing, allowing teams to run cloud-scale, multi-region tests on AWS Lambda, AWS Fargate, or Azure Container Instances without setting up or managing infrastructure.
    Starting Price: $199 per month
  • 6
    Appvance

    Appvance

    Appvance.ai

    Appvance IQ (AIQ) delivers transformational productivity gains and lower costs in both test creation and execution. For test creation, it offers both AI-driven (fully machine-generated tests) and also 3rd-generation, codeless scripting. It then executes those scripts through data-driven functional, performance, app-pen and API testing — for both web and mobile apps. AIQ’s self-healing technology gives you complete code coverage with just 10% the effort of traditional testing systems. Most importantly, AIQ finds important bugs autonomously, with little effort. No coding, scripting, logs or recording required. AIQ is easy to integrate with your current DevOps tools and processes. Appvance IQ was developed by a pioneering team who envisioned a better way to test. Their innovative vision has been made possible by applying differentiated, patented AI methods to test creation while leveraging today’s high-availability compute resources for massive levels of parallel execution.
  • 7
    NeoLoad

    NeoLoad

    Tricentis

    Continuous performance testing software to automate API and application load testing. Design code-less performance tests for complex applications. Script performance tests <as:code /> within automated pipelines for API testing. Design, maintain and run performance tests as code and analyze results within continuous integration pipelines using pre-packaged plugins for CI/CD tools and the NeoLoad API. Create test scripts quickly for large, complex applications using a graphical user interface and skip the complexity of hand coding new and updated tests. Define SLAs based on built-in monitoring metrics. Put pressure on the app and compare SLAs to server-level statistics to determine performance. Automate pass/fail triggers based on SLAs. Contributes to root cause analysis. Update test scripts faster with automatic test script updates. Update only the part of the test that’s changed and re-use the rest for easy test maintenance.
  • 8
    SOAtest

    SOAtest

    Parasoft

    Anchored in artificial intelligence (AI) and machine learning (ML), Parasoft SOAtest simplifies the complexity of functional testing across APIs, UIs, databases, and more. Change management systems continuously monitor quality, making the API and web service testing tool a perfect fit for Agile DevOps environments. Parasoft SOAtest delivers fully integrated API and web service testing tools that automate end-to-end functional API testing. Streamline automated testing with advanced functional test-creation capabilities for applications with multiple interfaces (REST & SOAP APIs, microservices, databases, and more). The tools reduce the risk of security breaches and performance outages by transforming functional testing artifacts into security and load equivalents. Such reuse, along with continuous monitoring of API for change, allows faster and more efficient testing.
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