Best On-Premises Code Coverage Tools of 2025

Find and compare the best On-Premises Code Coverage tools in 2025

Use the comparison tool below to compare the top On-Premises Code Coverage tools on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Sahi Pro Reviews

    Sahi Pro

    Tyto Software Pvt Ltd

    $1499/year/user
    60 Ratings
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    Sahi Pro is a suite automation tools for web, Web-services, Windows desktop and Java applications. Sahi Pro features include automatic waits, recorders and accessor spy, inbuilt frame and editor, parallel playback, automatic reporting, automatic logging, and reporting. Also, Sahi Pro can save 70% of the time and effort that is normally spent on test automation. Sahi Pro has been trusted by more than 400 companies around the world and is quickly becoming the preferred tool for test automation in the agile world.
  • 2
    Parasoft Reviews
    Top Pick

    Parasoft

    $125/user/mo
    120 Ratings
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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.
  • 3
    Go Reviews

    Go

    Golang

    Free
    Thanks to a comprehensive array of tools and APIs available from leading cloud providers, developing services in Go has never been more accessible. The language's extensive open-source libraries, combined with its powerful standard library, make it ideal for crafting swift and sophisticated command-line interfaces. Go's exceptional memory management and compatibility with multiple integrated development environments enhance its capability to drive rapid and scalable web applications. With quick compilation times and a clean syntax, along with built-in formatting and documentation tools, Go is tailored to meet the needs of both DevOps professionals and site reliability engineers. This is a deep dive into everything related to Go. Whether you are embarking on a fresh project or looking to refine your existing Go skills, there’s a structured interactive introduction that is divided into three parts. Each part offers practical exercises to reinforce your understanding, and the Playground feature allows users to write Go code directly in a browser, which is then compiled, linked, and executed on our servers instantly. This hands-on approach makes learning Go not only effective but also enjoyable.
  • 4
    Codacy Reviews

    Codacy

    Codacy

    $15.00/month/user
    Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/
  • 5
    CodeShip Reviews

    CodeShip

    CloudBees

    $49 per month
    Would you prefer an instant setup for all your needs, or do you value the ability to tailor your environment and workflow? CodeShip empowers developers to choose the most effective route for their needs, enhancing productivity and allowing teams to adapt over time. It offers a comprehensive suite of features, from deployment and notifications to code coverage, security scanning, and on-premise source control management, enabling seamless integration with any necessary tools, services, or cloud platforms for an ideal workflow. Our goal is not only to make CodeShip user-friendly but also to deliver prompt and comprehensive support for developers. When you encounter an issue or require assistance, having access to knowledgeable technical support without delay is crucial, and that’s a commitment we uphold at CodeShip. You can initiate your builds and deployments in under five minutes using CodeShip’s straightforward environment and intuitive interface. As your projects expand, you can gradually transition to more advanced workflows and configuration-as-code, ensuring your tools grow with your needs. This flexible approach ensures that as your requirements change, your workflow can adapt without missing a beat.
  • 6
    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.
  • 7
    Code Intelligence Reviews
    Our platform uses a variety of security techniques, including feedback-based fuzz testing and coverage-guided fuzz testing, in order to generate millions upon millions of test cases that trigger difficult-to-find bugs deep in your application. This white-box approach helps to prevent edge cases and speed up development. Advanced fuzzing engines produce inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Only uncover true vulnerabilities. You will need the stack trace and input to prove that you can reproduce errors reliably every time. AI white-box testing is based on data from all previous tests and can continuously learn the inner workings of your application. This allows you to trigger security-critical bugs with increasing precision.
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