Alternatives to Xdebug

Compare Xdebug alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Xdebug in 2025. Compare features, ratings, user reviews, pricing, and more from Xdebug competitors and alternatives in order to make an informed decision for your business.

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    TrustInSoft Analyzer
    TrustInSoft Analyzer is a C and C++ source code analyzer powered by formal methods, mathematical & logical reasonings that allow for exhaustive analysis of source code. This analysis can be run without false positives or false negatives, so that every real bug in the code is found. Developers receive several benefits: a user-friendly graphical interface that directs developers to the root cause of bugs, and instant utility to expand the coverage of their existing tests. Unlike traditional source code analysis tools, TrustInSoft’s solution is not only the most comprehensive approach on the market but is also progressive, instantly deployable by developers, even if they lack experience with formal methods, from exhaustive analysis up to a functional proof that the software developed meets specifications. Companies who use TrustInSoft Analyzer reduce their verification costs by 4, efforts in bug detection by 40, and obtain an irrefutable proof that their software is safe and secure.
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    Sahi Pro

    Sahi Pro

    Tyto Software Pvt Ltd

    Sahi Pro is a no-code test automation tool for web, desktop, mobile, and SAP applications. Sahi Pro empowers business testers and automation engineers to streamline their test automation processes. Sahi Pro reduces the time, effort, and complexity involved in test automation, making it an ideal choice for various domains including automobile, healthcare and BFSI. Features: 1. Non-flaky Test Execution - For reliable test results and reduced time wastage in analysis of false-positives or false-negatives. 2. Supports Multiple Technologies - Achieve end to end automation across technologies. 3. No-code Automation - Enable non-technical business testers to automate. 4. Integrations - Integrate and work with your existing ecosystem. Testers using Sahi Pro easily automate complex tests without writing code. With Sahi Pro, you can achieve faster release cycles, improved software quality, & reduced costs. Our customers love Sahi Pro for its speed, flexibility, and ease of use.
    Starting Price: $1499/year/user
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    Ambassador

    Ambassador

    Ambassador Labs

    Ambassador Edge Stack is a Kubernetes-native API Gateway that delivers the scalability, security, and simplicity for some of the world's largest Kubernetes installations. Edge Stack makes securing microservices easy with a comprehensive set of security functionality, including automatic TLS, authentication, rate limiting, WAF integration, and fine-grained access control. The API Gateway contains a modern Kubernetes ingress controller that supports a broad range of protocols including gRPC and gRPC-Web, supports TLS termination, and provides traffic management controls for resource availability. Why use Ambassador Edge Stack API Gateway? - Accelerate Scalability: Manage high traffic volumes and distribute incoming requests across multiple backend services, ensuring reliable application performance. - Enhanced Security: Protect your APIs from unauthorized access and malicious attacks with robust security features. - Improve Productivity & Developer Experience
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    Scout Monitoring

    Scout Monitoring

    Scout Monitoring

    Scout Monitoring is Application Performance Monitoring (APM) that finds what you can't see in charts. Scout APM is application performance monitoring that streamlines troubleshooting by helping developers find and fix performance issues before customers ever see them. With real-time alerting, a developer-centric UI, and tracing logic that ties bottlenecks directly to source code, Scout APM helps you spend less time debugging and more time building a great product. Quickly identify, prioritize, and resolve performance problems – memory bloat, N+1 queries, slow database queries, and more – with an agent that instruments the dependencies you need at a fraction of the overhead. Scout APM is built for developers, by developers, and monitors Ruby, PHP, Python, Node.js, and Elixir applications.
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    SmartBear AQTime Pro
    Debugging should be simple. AQTime Pro synthesizes complex memory and performance information into digestible, actionable insights so you can quickly find bugs and their root cause. Finding and squashing highly differentiated bugs is tedious and complicated, but AQTime Pro makes it easy. With over a dozen profilers, you can find memory leaks, performance bottlenecks, code coverage gaps and more in just a few clicks. AQTime Pro enables you to squash all bugs with one tool and get back to making high quality code. Don’t let code profilers box you in with a single codebase or framework and prevent you from finding performance bottlenecks, memory leaks, code coverage gaps unique to your project. AQTime Pro is the one tool to use across multiple codebases and frameworks in a project. It has broad language support for C/C++, Delphi, .NET, Java and more.
    Starting Price: $719 one-time payment
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    BMC Compuware Xpediter
    BMC Compuware Xpediter is a family of debuggers and interactive analysis tools for COBOL, Assembler, PL/I, and C programs that helps developers quickly understand applications, make changes, and fix problems in a secure environment—even if they’re unfamiliar with the source code. Xpediter enables developers to get into an interactive test session with minimal effort and quickly move applications into production with greater confidence. See line-by-line code execution and control all aspects of program execution and data. Use Code Coverage to see proof of execution and view metrics on multi-platform applications. Access Abend-AID diagnostic capabilities from within a debugging session. See a graphical view of source code through an integration with Topaz for Program Analysis. Leverage Topaz for Total Test for building a comprehensive portfolio of automated virtualized test cases. Intercept and debug mainframe transactions initiated remotely.
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    Xcode

    Xcode

    Apple

    Introducing Xcode 12. With an all-new design that looks great on macOS Big Sur, Xcode 12 has customizable font sizes for the navigator, streamlined code completion, and new document tabs. Xcode 12 builds Universal apps by default to support Mac with Apple Silicon, often without changing a single line of code. Designed for macOS Big Sur. Xcode 12 looks great on macOS Big Sur, with a navigator sidebar that goes to the top of the window and clear new toolbar buttons. The navigator defaults to a larger font that’s easier to read, while giving you multiple size choices. New document tabs make it easy to create a working set of files within your workspace. Document tabs. The new tab model lets you open a new tab with a double-click, or track the selected file as you click around the navigator. You can re-arrange the document tabs to create a working set of files for your current task, and configure how content is shown within each tab.
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    CodeRush

    CodeRush

    DevExpress

    Try your first CodeRush feature right now and see instantly just how powerful it is. Refactoring for C#, Visual Basic, and XAML, with the fastest test .NET runner available, next generation debugging, and the most efficient coding experience on the planet. Quickly find symbols and files in your solution and easily navigate to code constructions related to the current context. CodeRush includes the Quick Navigation and Quick File Navigation features, which make it fast and easy to find symbols and open files. Using the Analyze Code Coverage feature, you can discover what parts of your solution are covered by unit tests, and find the at-risk parts of your application. The Code Coverage window shows percentage of statements covered by unit tests for each namespace, type, and member in your solution.
    Starting Price: $49.99 one time payment
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    PCOV

    PCOV

    PCOV

    A self-contained CodeCoverage compatible driver for PHP. When PCOV is left unset, PCOV will attempt to find src, lib or, app in the current working directory, in that order; If none are found the current directory will be used, which may waste resources storing coverage information for the test suite. If PCOV contains test code, it's recommended to set the exclude command to avoid wasting resources. To avoid unnecessary allocation of additional arenas for traces and control flow graphs, PCOV should be set according to the memory required by the test suite. To avoid reallocation of tables, PCOV should be set to a number higher than the number of files that will be loaded during testing, inclusive of test files. interoperability with Xdebug is not possible. At an internal level, the executor function is overridden by PCOV, so any extension or SAPI which does the same will be broken. PCOV is zero cost, code runs at full speed.
    Starting Price: Free
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    Code Intelligence

    Code Intelligence

    Code Intelligence

    Our platform uses various security techniques, including coverage-guided and feedback-based fuzz testing, to automatically generate millions of test cases that trigger hard-to-find bugs deep within your application. This white-box approach protects against edge cases and speeds up development. Advanced fuzzing engines generate inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Uncover true vulnerabilities only. Get the input and stack trace as proof, so you can reliably reproduce errors every time. AI white-box testing uses data from all previous test runs to continuously learn the inner-workings of your application, triggering security-critical bugs with increasingly high precision.
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    Inspector

    Inspector

    Inspector.dev

    Inspector is a Code Execution Monitoring tool that helps software developers automatically identify errors and bottlenecks. It traces your application at any scale, enabling you to fix issues before customers experience them while keeping debugging costs predictable and low.
    Starting Price: €15/month
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    Digma

    Digma

    Digma

    Using runtime information, Digma integrates into your IDE to continuously highlight issues, regressions, and problems, as you code. Immediately see how any function scales in CI or production and spot issues while still in development. Accelerate code changes and avoid endless regressions, by analyzing how the code performs, Digma provides critical analytics on usage, errors, and performance baselines to make sense of forgotten code and ownerless libraries. Immediately understand what’s causing bottlenecks and slowdowns in your code. With valuable data such as code execution times, scaling limitations, and N+1 query issues – you can quickly fix it. Pull Request feedback and code review annotation get way easier when your team integrates Digma into your GitOps cycle. Digma lets you understand it and start working on it fearlessly – no matter how large or complex.
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    Lightrun

    Lightrun

    Lightrun

    Add logs, metrics and traces to production and staging, directly from your IDE or CLI, in real-time and on-demand. Boost productivity and gain 100% code-level observability with Lightrun. Insert logs and metrics in real-time even while the service is running. Debug monolith microservices, Kubernetes, Docker Swarm, ECS, Big Data workers, serverless, and more. Quickly add a missing logline, instrument a metric, or place a snapshot to be taken on demand. No need to replicate the production environment or re-deploy. Once the instrumentation is invoked, the data is printed to the log analysis tool, your IDE, or to an APM of your choice. Analyze code behavior to find bottlenecks and errors without stopping the running process. Easily add large amounts of logs, snapshots, counters, timers, function durations, and more. You won’t stop or break the system. Spend less time debugging and more time coding. No more restarting, redeploying and reproducing when debugging.
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    Android Studio

    Android Studio

    Android Studio

    Android Studio provides the fastest tools for building apps on every type of Android device. Create complex layouts with ConstraintLayout by adding constraints from each view to other views and guidelines. Then preview your layout on any screen size by selecting one of various device configurations or by simply resizing the preview window. Find opportunities to reduce your Android app size by inspecting the contents of your app APK file, even if it wasn't built with Android Studio. Inspect the manifest file, resources, and DEX files. Compare two APKs to see how your app size changed between app versions. Install and run your apps faster than with a physical device and simulate different configurations and features, including ARCore, Google's platform for building augmented reality experiences. Write better code, work faster, and be more productive with an intelligent code editor that provides code completion for Kotlin, Java, and C/C++ languages.
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    Testwell CTC++
    Testwell CTC++ is a powerful instrumentation-based code coverage and dynamic analysis tool for C and C++ code. With certain add-on components CTC++ can be used also on C#, Java and Objective-C code. Further, again with certain add-on components, CTC++ can be used to analyse code basically at any embedded target machines, also in very small ones (limited memory, no operating system). CTC++ provides Line Coverage, Statement Coverage, Function Coverage, Decision Coverage, Multicondition Coverage, Modified Condition/Decision Coverage (MC/DC), Condition Coverage. As a dynamic analysis tool, CTC++ shows the execution counters (how many times executed) in the code, i.e. more than a plain executed/not executed information. You can also use CTC++ to measure function execution costs (normally time) and to enable function entry/exit tracing at test time. CTC++ is easy to use.
    Starting Price: Free
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    PHPUnit

    PHPUnit

    PHPUnit

    PHPUnit requires the dom and json extensions, which are normally enabled by default. PHPUnit also requires the pcre, reflection, and spl extensions. These standard extensions are enabled by default and cannot be disabled without patching PHP’s build system and/or C sources. The code coverage report feature requires the Xdebug (2.7.0 or later) and tokenizer extensions. Generating XML reports requires the xmlwriter extension. Unit Tests are primarily written as a good practice to help developers identify and fix bugs, to refactor code and to serve as documentation for a unit of software under test. To achieve these benefits, unit tests ideally should cover all the possible paths in a program. One unit test usually covers one specific path in one function or method. However a test method is not necessarily an encapsulated, independent entity. Often there are implicit dependencies between test methods, hidden in the implementation scenario of a test.
    Starting Price: Free
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    JaCoCo

    JaCoCo

    EclEmma

    JaCoCo is a free code coverage library for Java, which has been created by the EclEmma team based on the lessons learned from using and integrating existing libraries for many years. The master branch of JaCoCo is automatically built and published. Due to the test-driven development approach, every build is considered fully functional. See the change history for the latest features and bug fixes. SonarQube code quality metrics of the current JaCoCo implementation are available on SonarCloud.io. Integrate JaCoCo technology with your tools. Use JaCoCo tools out of the box. Improve the implementation and add new features. There are several open-source coverage technologies for Java available. While implementing the Eclipse plug-in EclEmma the observation was that none of them are really designed for integration. Most of them are specifically fit to a particular tool (Ant tasks, command line, IDE plug-in) and do not offer a documented API that allows embedding in different contexts.
    Starting Price: Free
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    Orbit Profiler

    Orbit Profiler

    Orbit Profiler

    Quickly find performance bottlenecks and visualize what is going on in a complex C/C++ application. Orbit is a standalone profiler and debugging tool for Windows and Linux. Its main purpose is to help developers understand and visualize the execution flow of a complex application. By giving a bird’s eye view of what is happening under the hood, Orbit gives the developer a deeper understanding of complex systems and allows them to quickly find performance bottlenecks. Orbit works out of the box on any C/C++ application, as long as it has access to the Pdb file. Start profiling as soon as you finish downloading Orbit. Orbit injects itself into the target process and hooks into selected functions. It works even on your highly optimized final/shipping builds. Sampling is great when you don’t know where to start looking. Orbit’s sampling is fast, robust, and “always on”. Orbit combines sampling and dynamic instrumentation to optimize the profiling workflow.
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    Errsole

    Errsole

    Errsole

    1) Minimal Setup: Just include the Errsole package in your code—no need for dedicated servers, software installations, or complicated configurations. 2) Logger++: Errsole automatically collects all logs from the Node.js console. Additionally, it provides advanced logging functions that support multiple log levels and the ability to attach metadata to logs. 3) Log Viewer: View, filter, and search through your logs using the built-in Web Dashboard. Secure authentication and team management features ensure that only you and your team can access the logs. 4) Critical Error Notifications: Get immediate notifications when your app crashes or encounters critical errors. The notification includes the error message, the app name, the environment, the server name, and a direct link to view the error in your logs.
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    ReSharper

    ReSharper

    JetBrains

    The Visual Studio Extension for .NET Developers. On-the-fly code quality analysis is available in C#, VB.NET, XAML, ASP.NET, ASP.NET MVC, JavaScript, TypeScript, CSS, HTML, and XML. You'll know right away if your code needs to be improved. Not only does ReSharper warn you when there's a problem in your code but it provides hundreds of quick-fixes to solve problems automatically. In almost every case, you can select the best quick-fix from a variety of options. Automated solution-wide code refactorings help you safely change your code base. Whether you need to revitalize legacy code or put your project structure in order, you can rely on ReSharper. You can instantly navigate and search through the whole solution. Jump to any file, type, or type member, or navigate from a specific symbol to its usages, base and derived symbols, or implementations.
    Starting Price: $12.90 per user per month
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    LangSmith

    LangSmith

    LangChain

    Unexpected results happen all the time. With full visibility into the entire chain sequence of calls, you can spot the source of errors and surprises in real time with surgical precision. Software engineering relies on unit testing to build performant, production-ready applications. LangSmith provides that same functionality for LLM applications. Spin up test datasets, run your applications over them, and inspect results without having to leave LangSmith. LangSmith enables mission-critical observability with only a few lines of code. LangSmith is designed to help developers harness the power–and wrangle the complexity–of LLMs. We’re not only building tools. We’re establishing best practices you can rely on. Build and deploy LLM applications with confidence. Application-level usage stats. Feedback collection. Filter traces, cost and performance measurement. Dataset curation, compare chain performance, AI-assisted evaluation, and embrace best practices.
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    Coverlet

    Coverlet

    Coverlet

    It works with .NET Framework on Windows and .NET Core on all supported platforms. Coverlet supports coverage for deterministic builds. The solution at the moment is not optimal and need a workaround. If you want to visualize coverlet output inside Visual Studio while you code, you can use the following addins depending on your platform. Coverlet also integrates with the build system to run code coverage after tests. Enabling code coverage is as simple as setting the CollectCoverage property to true. The coverlet tool is invoked by specifying the path to the assembly that contains the unit tests. You also need to specify the test runner and the arguments to pass to the test runner using the --target and --targetargs options respectively. The invocation of the test runner with the supplied arguments must not involve a recompilation of the unit test assembly or no coverage result will be generated.
    Starting Price: Free
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    Coverage.py

    Coverage.py

    Coverage.py

    Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not. Use coverage run to run your test suite and gather data. However you normally run your test suite, and you can run your test runner under coverage. If your test runner command starts with “python”, just replace the initial “python” with “coverage run”. To limit coverage measurement to code in the current directory, and also find files that weren’t executed at all, add the source argument to your coverage command line. By default, it will measure line (statement) coverage. It can also measure branch coverage. It can tell you what tests ran which lines.
    Starting Price: Free
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    grcov

    grcov

    grcov

    grcov collects and aggregates code coverage information for multiple source files. grcov processes .profraw and .gcda files which can be generated from llvm/clang or gcc. grcov also processes lcov files (for JS coverage) and JaCoCo files (for Java coverage). Linux, macOS and Windows are supported.
    Starting Price: Free
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    JCov

    JCov

    OpenJDK

    The JCov open-source project is used to gather quality metrics associated with the production of test suites. JCov is being opened in order to facilitate the practice of verifying test execution of regression tests in OpenJDK development. The main motivation behind JCov is the transparency of test coverage metrics. The advantage to promoting standard coverage based on JCov is that OpenJDK developers will be able to use a code coverage tool that stays in the 'lock step' with Java language and VM developments. JCov is a pure java implementation of a code coverage tool that provides a means to measure and analyze dynamic code coverage of Java programs. JCov provides functionality to collect method, linear block, and branch coverage, as well as show uncovered execution paths. It is also able to show a program's source code annotated with coverage information. From a testing perspective, JCov is most useful to determine execution paths.
    Starting Price: Free
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    Tarpaulin

    Tarpaulin

    Tarpaulin

    Tarpaulin is a code coverage reporting tool for the cargo build system, named for a waterproof cloth used to cover cargo on a ship. Currently, tarpaulin provides working line coverage and while fairly reliable may still contain minor inaccuracies in the results. A lot of work has been done to get it working on a wide range of projects, but often unique combinations of packages and build features can cause issues so please report anything you find that's wrong. Also, check out our roadmap for planned features. On Linux Tarpaulin's default tracing backend is still Ptrace and will only work on x86 and x64 processors. This can be changed to the llvm coverage instrumentation with engine llvm, for Mac and Windows this is the default collection method. It can also be run in Docker, which is useful for when you don't use Linux but want to run it locally.
    Starting Price: Free
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    Codacy

    Codacy

    Codacy

    Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/
    Starting Price: $15.00/month/user
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    OpenCppCoverage

    OpenCppCoverage

    OpenCppCoverage

    OpenCppCoverage is an open-source code coverage tool for C++ under Windows. The main usage is for unit testing coverage, but you can also use it to know the executed lines in a program for debugging purposes. Support compiler with a program database file (.pdb). Just run your program with OpenCppCoverage, no need to recompile your application. Exclude a line based on a regular expression. Coverage aggregation, to run several code coverages and merge them into a single report. Requires Microsoft Visual Studio 2008 or higher for all editions including the Express edition. It should also work with the previous version of Visual Studio. You can run the tests with the Test Explorer window.
    Starting Price: Free
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    HCL OneTest Embedded
    Automating the creation and deployment of component test harnesses, test stubs and test drivers is a cinch thanks to OneTest Embedded. With a single click from any development environment, one can profile memory and performance, analyze code coverage and visualize program execution behavior. Additionally, OneTest Embedded helps be more proactive in debugging, while identifying and assisting in fixing code before it breaks. Allows for a virtual cycle of test generation, while executing, reviewing and testing improvement to rapidly achieve full test coverage. One click is all it takes to build, execute on the target, and generate reports. Helps preempt performance issues and program crashes. Additionally, can be adapted to work with custom memory management methods used in embedded software. Provides visibility on thread execution and switching to develop a deep understanding of the behavior of the system under test.
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    OpenClover

    OpenClover

    OpenClover

    Balance your effort spent on writing applications and test code. Use the most sophisticated code coverage tool for Java and Groovy. OpenClover measures code coverage for Java and Groovy and collects over 20 code metrics. It not only shows you untested areas of your application but also combines coverage and metrics to find the riskiest code. The Test Optimization feature tracks which test cases are related to each class of your application code. Thanks to this OpenClover can run tests relevant to changes made in your application code, significantly reducing test execution time. Do testing getters and setters bring much value? Or machine-generated code? OpenClover outruns other tools in its flexibility to define the scope of coverage measurement. You can exclude packages, files, classes, methods, and even single statements. You can focus on testing important parts of your code. OpenClover not only records test results but also measures individual code coverage for every test.
    Starting Price: Free
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    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.
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    Jtest

    Jtest

    Parasoft

    Meet Agile development cycles while maintaining high-quality code. Use Jtest’s comprehensive set of Java testing tools to ensure defect-free coding through every stage of software development in the Java environment. Streamline Compliance With Security Standards. Ensure your Java code complies with industry security standards. Have compliance verification documentation automatically generated. Release Quality Software, Faster. Integrate Java testing tools to find defects faster and earlier. Save time and money by mitigating complicated and expensive problems down the line. Increase Your Return From Unit Testing. Achieve code coverage targets by creating a maintainable and optimized suite of JUnit tests. Get faster feedback from CI and within your IDE using smart test execution. Parasoft Jtest integrates tightly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on your testing and compliance progress.
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    Codase

    Codase

    Codase

    Codase hosts huge amount of open source codes providing a much better coverage, as it covers codes usually hidden inside compressed files and source control repositories, where general search engines fail to find and index. In addition, Codase only indexes and searches high quality codes with every line of code literally validated and compiled by intelligent and powerful source code analysis engine. Codase is a privately held company based in silicon valley, founded by Dr. Huihong Luo and other veterans. We are a group of innovative and passionate professionals with diverse technologies, business background and proven track of records. We are committed to make Codase the world's best search engine for source codes in terms of features, quality, performance and code coverage. If you are a developer, you may find Codase useful, since improving your coding productivity is our goal.
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    UndercoverCI

    UndercoverCI

    UndercoverCI

    Actionable test coverage for Ruby and GitHub. Checks and insights to help your team ship healthy code while saving time on PR reviews. Stop focusing on getting to 100% test coverage. Reduce pull request defects by telling when the changed code is untested before it's deployed to production. The CI server runs tests and uploads coverage data to UndercoverCI. That's the only required post-install setup step! We scan the PR diff and verify local test coverage for each updated class, method, and block because an absolute percentage check is not enough. Reveal untested methods and blocks, find unused code paths, and improve your test suite. Install UndercoverCI's hosted GitHub App or explore the Ruby gems family. Fully-featured GitHub App code review integration with quick setup for your organization. The UndercoverCI project and related Ruby gems are entirely open-source and free to use locally and in your CI/CD workflows.
    Starting Price: $49 per month
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    DeepCover

    DeepCover

    DeepCover

    Deep Cover aims to be the best coverage tool for Ruby code. More accurate line coverage, and branch coverage. It can be used as a drop-in replacement for the built-in Coverage library. It reports a more accurate picture of your code usage. In particular, a line is considered covered if and only if it is entirely executed. Optionally, branch coverage will detect if some branches are never taken. MRI considers every method defined, including methods defined on objects or via define_method, class_eval, etc. For Istanbul output, DeepCover has a different approach and covers all def and all blocks. DeepCover doesn't consider loops to be branches, but it's easy to support them if needed. Even after DeepCover is required and configured, only a very minimal amount of code is actually loaded and coverage is not started. To make it easier to transition for projects already using the builtin Coverage library deep-cover can inject itself into those tools.
    Starting Price: Free
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    BullseyeCoverage

    BullseyeCoverage

    Bullseye Testing Technology

    BullseyeCoverage is an advanced C++ code coverage tool used to improve the quality of software in vital systems such as enterprise applications, industrial control, medical, automotive, communications, aerospace and defense. The function coverage metric gives you a quick overview of testing completeness and indicates areas with no coverage at all. Use this metric to broadly raise coverage across all areas of your project. Condition/decision coverage provides detail at the control structure level. Use this metric to attain high coverage in specific areas, for example during unit testing. C/D coverage provides better detail than statement coverage or branch coverage, and provides much better productivity than more complex coverage metrics.
    Starting Price: $900 one-time payment
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    Code Climate

    Code Climate

    Code Climate

    Velocity provides in-depth, contextual analytics that equip engineering leaders to support stuck team members, address team roadblocks, and streamline engineering processes. Actionable metrics for engineering leaders. Velocity turns data from commits and pull requests into the insights you need to make lasting improvements to your team’s productivity. Quality: Automated code review for test coverage, maintainability and more so that you can save time and merge with confidence. Receive automated code review comments on your pull requests. Our 10-point technical debt assessment provides real-time feedback, so you can save time and focus on what matters in your code review discussions. Get test coverage right, every time. See coverage line by line within diffs. Never merge code without sufficient tests again. At a glance, identify frequently changed files that have inadequate coverage and maintainability issues. Track your progress against measurable goals, day-by-day.
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    Sentry

    Sentry

    Sentry

    From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend. With Sentry’s performance monitoring you can trace performance issues to poor-performing api calls and slow database queries. Source code, error filters, stack locals — Sentry enhances application performance monitoring with stack traces. Quickly identify performance issues before they become downtime. View the entire end-to-end distributed trace to see the exact, poor-performing API call and surface any related errors. Breadcrumbs make application development a little easier by showing you the trails of events that lead to the error(s).
    Starting Price: $26 per month
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    SonarQube for IDE
    Easy to use, no configuration needed — just install from your favorite IDE marketplace and continue to code while SonarQube for IDE (formerly SonarLint) does its job. Your current linting tools may come with overhead – specialized tools for languages or longer setup and config time. With SonarQube for IDE, you can settle on a single solution to address your Code Quality and Code Security issues. We have you covered with hundreds of unique, language-specific rules to catch Bugs, Code Smells, and Security Vulnerabilities right in the IDE, as you code. From dangerous regex patterns to non-compliant coding standards, SonarQube for IDE is your true confidante in delivering error-free code. With an intelligent tool by your side, your mistakes are only visible to you so you can understand them, quickly remediate them, and learn along the way.
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    SourceDebug

    SourceDebug

    SourceDebug

    SourceDebug is a fast powerful project-oriented programming editor, code browser, and debugger that helps you understand code while you work and plan. SourceDebug has built-in dynamic analysis for C/C++, Objective-C, and more. SourceDebug can debug application with source code in different locations. SourceDebug integrates editing, browsing, compiling and debugging functions for local and remote projects. It can be used to learn an existing code base quickly, and get up to speed on new projects. SourceDebug parses your whole project and lets you navigate and edit code like a breeze. It can jump easily to variables, functions or include files. Smart Bookmark can record the browsing location and play back when needed. Supports GDB or LLDB-MI debug over SSH, ADB, Telnet , Rlogin and Local Cygwin. GDB server debug is also supported. Show Quickwatch, Watches, Callstack, Variables, Memory, Breakpoint List, Disassemble and Thread List as needed. Sftp, Ftp and Local drives are supported.
    Starting Price: $49/user
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    Fiddler

    Fiddler

    Progress Software

    Capture all HTTP(S) traffic between your computer and the Internet with Telerik Fiddler HTTP(S) proxy. Inspect traffic, set breakpoints, and fiddle with requests & responses. Fiddler Everywhere is a web debugging proxy for macOS, Windows, and Linux. Capture, inspect, monitor all HTTP(S) traffic between your computer and the Internet, mock requests, and diagnose network issues. Fiddler Everywhere can be used for any browser, application, process. Debug traffic from macOS, Windows, or Linux systems and iOS or Android mobile devices. Ensure the proper cookies, headers, and cache directives are transferred between the client and server. Supports any framework, including .NET, Java, Ruby, etc. Mock or modify requests and responses on any website. It’s a quick and easy way to change the request and responses to test websites without changing code. Use Fiddler Everywhere to log all HTTP/S traffic between your computer and the Internet.
    Starting Price: $12 per user per month
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    Amazon SageMaker Debugger
    Optimize ML models by capturing training metrics in real-time and sending alerts when anomalies are detected. Automatically stop training processes when the desired accuracy is achieved to reduce the time and cost of training ML models. Automatically profile and monitor system resource utilization and send alerts when resource bottlenecks are identified to continuously improve resource utilization. Amazon SageMaker Debugger can reduce troubleshooting during training from days to minutes by automatically detecting and alerting you to remediate common training errors such as gradient values becoming too large or too small. Alerts can be viewed in Amazon SageMaker Studio or configured through Amazon CloudWatch. Additionally, the SageMaker Debugger SDK enables you to automatically detect new classes of model-specific errors such as data sampling, hyperparameter values, and out-of-bound values.
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    Luciq

    Luciq

    Luciq

    Luciq is an AI-powered mobile observability platform designed for app developers and enterprises to monitor, diagnose, and improve mobile applications seamlessly. The solution brings together bug reporting, crash analytics, session replay, and performance monitoring in one unified SDK that supports Android, iOS, web and hybrid apps. It enables users to capture detailed device logs, network traces, annotated screenshots, videos and user feedback, while automatically correlating events and errors using machine learning to prioritize issues by impact. Developers gain visibility into user sessions where things went wrong, reproduce defects through replay, and resolve issues faster using integrations with JIRA, Slack, Zapier, Zendesk and other tools. With Luciq’s “Agentic Mobile Observability” approach, the system surface the most critical problems, suggests root-causes and even recommends remediations, helping teams increase velocity, improve app stability and enhance user experience.
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    Bugsnag

    Bugsnag

    Bugsnag

    Bugsnag monitors application stability so you can make data-driven decisions on whether you should be building new features, or fixing bugs. ‍ We are a full stack stability monitoring solution with best-in-class functionality for mobile applications. Rich, end-to-end diagnostics to help you reproduce every error. A simple and thoughtful user experience for all your apps in one dashboard. The definitive metric for app health — the common language for product and engineering teams. Not all bugs are worth fixing. Focus on the ones that matter to your business. Extensible libraries with opinionated defaults and countless customization options. Subject matter experts who care deeply about error reduction and the health of your apps.
    Starting Price: $59 per month
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    Buglab

    Buglab

    Buglab

    Automatically detect bugs and UI/UX discrepancies. Finding bugs is not only difficult but repetitive and boring too. With Buglab, you can easily detect UI/UX issues in websites, platforms, and web apps by automating the testing process. Accelerate development, and ensure client-facing software quality effortlessly while focusing on the important aspects of your business. Find UI bugs before they cost you. Buglab automates website testing by allowing you to simulate any kind of user action with just a few clicks, and without writing a single line of code. You can create any suitable sequence, to ensure your website changes are not causing any bugs or functionality changes. Once a test has been set, the system will display the results and highlight the differences between your base, and the new version of your website. Group your tests in logical suites and projects, and schedule them with different schedules.
    Starting Price: $39 per month
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    TotalView

    TotalView

    Perforce

    TotalView debugging software provides the specialized tools you need to quickly debug, analyze, and scale high-performance computing (HPC) applications. This includes highly dynamic, parallel, and multicore applications that run on diverse hardware — from desktops to supercomputers. Improve HPC development efficiency, code quality, and time-to-market with TotalView’s powerful tools for faster fault isolation, improved memory optimization, and dynamic visualization. Simultaneously debug thousands of threads and processes. Purpose-built for multicore and parallel computing, TotalView delivers a set of tools providing unprecedented control over processes and thread execution, along with deep visibility into program states and data.
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    Honeycomb

    Honeycomb

    Honeycomb.io

    Log management. Upgraded. With Honeycomb. Honeycomb is built for modern dev teams to better understand application performance, debug & improve log management. With rapid query, find unknown unknowns across system logs, metrics & traces with interactive charts for the deepest view against raw, high cardinality data. Configure Service Level Objective (SLOs) on what users care about so you cut-down noisy alerts and prioritize the work. Reduce on-call toil, ship code faster and keep customers happy. Pinpoint the cause. Optimize your code. See your prod in hi-res. Our SLOs tell you when your customers are having a bad experience so that you can immediately debug why those issues are happening, all within the same interface. Use our Query Builder to easily slice and dice your data to visualize behavioral patterns for individual users and services (grouped by any dimensions).
    Starting Price: $70 per month
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    Polar Signals

    Polar Signals

    Polar Signals

    Polar Signals cloud is an always-on, zero-instrumentation continuous profiling product that helps improve performance, understand incidents, and lower infrastructure costs. With just one command and the easiest onboarding guide you’ll ever see, you can start saving costs and optimizing performance in your infrastructure. Travel back in time to pinpoint incidents and issues. Profiling data provides unique insight and depth into what a process executed over time. Utilize profiling data collected over time to confidently and statistically identify hot paths for optimization. Many organizations have 20-30% of resources wasted with code paths that could be easily optimized. Polar Signals Cloud employs an exceptional blend of technologies, purpose-built to deliver the profiling toolset essential for today's evolving infrastructure and applications. With a zero instrumentation setup, deploy immediately and reap the benefits of actionable observability data.
    Starting Price: $50 per month
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    PyCharm

    PyCharm

    JetBrains

    All the Python tools in one place. Save time while PyCharm takes care of the routine. Focus on the bigger things and embrace the keyboard-centric approach to get the most of PyCharm's many productivity features. PyCharm knows everything about your code. Rely on it for intelligent code completion, on-the-fly error checking and quick-fixes, easy project navigation, and much more. Write neat and maintainable code while the IDE helps you keep control of the quality with PEP8 checks, testing assistance, smart refactorings, and a host of inspections. PyCharm is designed by programmers, for programmers, to provide all the tools you need for productive Python development. PyCharm provides smart code completion, code inspections, on-the-fly error highlighting and quick-fixes, along with automated code refactorings and rich navigation capabilities.
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    Starting Price: $199 per user per year
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    NCover

    NCover

    NCover

    NCover Desktop is a Windows application that helps you collect code coverage statistics for .NET applications and services. After coverage is collected, Desktop displays charts and coverage metrics in a browser-based GUI that allows you to drill all the way down to your individual lines of source code. Desktop also allows you the option to install a Visual Studio extension called Bolt. Bolt offers built-in code coverage that displays unit test results, timings, branch visualization and source code highlighting right in the Visual Studio IDE. NCover Desktop is a major leap forward in the ease and flexibility of code coverage tools. Code coverage, gathered while testing your .NET code, shows the NCover user what code was exercised during the test and gives a specific measurement of unit test coverage. By tracking these statistics over time, you gain a concrete measurement of code quality during the development cycle.
    Starting Price: Free