Browse free open source Code Coverage tools and projects below. Use the toggles on the left to filter open source Code Coverage tools by OS, license, language, programming language, and project status.

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    Protect your business with AI policies and data loss prevention in the browser

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    Digital Adoption and User Training - in one solution

    ClickLearn produces the right learning format for any training situation

    ClickLearn captures work processes in enterprise software - and auto-produces learning content in 7 formats and 45 languages, creates a customisable e-learning portal and keeps documentation current with automatic updates.
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  • 1
    bcov is a code coverage tool similar to gcov. Unlike gcov, it does not require recompiling the project for coverage. Coverage is determined by using temporary breakpoints, which causes minimal overhead. gcov produces a lcov style coverge report.
    Downloads: 1 This Week
    Last Update:
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  • 2
    BeCover is a Java code coverage tool based on source-code analysis. The main goal is to keep it small and fast, so using it as a plugin in the common IDE's can be achieved.
    Downloads: 0 This Week
    Last Update:
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  • 3
    gcov-eclipse is an Eclipse plug-in that will extend CDT to provide code-coverage testing to C/C++ projects by using the gcov program. It will integrate into the CDT's launch and managed build system.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    This profiler (JRE 1.5.0 only) uses JVMTI and native bytecode instrumentation for the analysis of the heap, reachable objects, execution time, garbage collection efficiency, code coverage and thread contention. No preparation steps required in build.
    Downloads: 0 This Week
    Last Update:
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  • Ingest Package Label Data Using OCR Software Icon
    Ingest Package Label Data Using OCR Software

    PackageX OCR API converts any smartphone into a powerful universal label scanner that reads every bit of text on the label, including barcodes and QR

    Our state-of-the-art OCR technology uses robust deep learning models and proprietary algorithms to extract information from package labels.
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