Alternatives to beSTORM

Compare beSTORM alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to beSTORM in 2026. Compare features, ratings, user reviews, pricing, and more from beSTORM competitors and alternatives in order to make an informed decision for your business.

  • 1
    Boozang

    Boozang

    Boozang

    Build. Test. Automate. Empower your whole team to build and maintain automated tests, not just developers. Meet your testing demands fast. Get full test coverage in days, not months. Our natural-language tests are extremely stable to code changes. When tests break our AI will repair it in minutes. Go Agile/DevOps by setting up Continuous Testing. Push features in production the same day. Boozang supports the following test approaches: - Codeless Record/Replay interface - BDD / Cucumber - API testing - Model-based testing - HTML Canvas testing The following features makes your testing a breeze - In-browser console debugging - Screenshots to show where test fails - Integrate to any CI server - Test with unlimited parallel workers to speed up tests - Root-cause analysis reports - Trend reports to track failures and performance over time - Test management integration (Xray / Jira)
    Partner badge
    Compare vs. beSTORM View Software
    Visit Website
  • 2
    Parasoft

    Parasoft

    Parasoft

    Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting embedded and enterprise markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. 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.
    Leader badge
    Partner badge
    Compare vs. beSTORM View Software
    Visit Website
  • 3
    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.
  • 4
    Testim

    Testim

    Tricentis

    Testim is the fastest path to resilient end-to-end tests—codeless, coded or both. Testim lets you create amazingly stable codeless tests that leverage our AI, but also the flexibility to export tests as code. You can leverage Testim’s modern JavaScript API and your IDE to debug, customize or refactor tests. Store them in your version control system to keep them in sync with branches and run tests on every commit. Run parallel, cross-browser tests on our test cloud or Selenium-compatible grids while integrating with your CI and dev tools to run smoke tests on pull requests, end-to-end tests on release candidates, or full regression suites on a schedule. Customers like Microsoft, Salesforce, NetApp, Wix, and JFrog run millions of tests on Testim each month. Learn more on our website and sign up for your free account!
    Leader badge
    Starting Price: $20,000 a year
  • 5
    Testsigma

    Testsigma

    Testsigma

    Testsigma is a low-code end-to-end software testing platform that works out of the box. It's built to enable modern Product teams to collaboratively plan, develop, execute, analyze, debug, and report on their automated testing—for websites, native Android and iOS apps, and APIs. Testsigma test scripts are code-agnostic. While the platform itself is built with Java, you can write test scripts in simple English or use the Test Recorder to generate airtight test scripts for websites and native mobile apps. You can also use the test recorder on your own device farm/grid or on Testsigma's built-in device lab on the cloud. The platform has built-in visual testing, parametrized or data-driven testing, 2FA testing, and more advanced features for easy test automation. Our AI automatically fixes unstable elements and test steps, identifies and isolates regression-affected scripts, and provides suggestions to help you find and fix test failures.
  • 6
    Invicti

    Invicti

    Invicti Security

    Application security is noisy and overly complicated. The good news: you can relieve that unnecessary noise and dramatically reduce your risk of attacks with Invicti. Keeping up with security is more manageable with accurate, automated testing that scales as your needs shift and grow. That's where Invicti shines. With a leading dynamic application security testing solution (DAST), Invicti helps teams automate security tasks and save hundreds of hours each month by identifying the vulnerabilities that really matter. Combining dynamic with interactive testing (DAST + IAST) and software composition analysis (SCA), Invicti scans every corner of an app to find what other tools miss. With asset discovery, it's easier to discover all web assets — even ones that are lost, forgotten, or created by rogue departments. Through tried-and-true methods, Invicti helps DevSecOps teams get ahead of their workloads to hit critical deadlines, improve processes, and communicate more effectively.
  • 7
    Defensics Fuzz Testing
    Defensics Fuzz Testing is a comprehensive, versatile, automated black box fuzzer that enables organizations to efficiently and effectively discover and remediate security weaknesses in software. The generational fuzzer takes an intelligent, targeted approach to negative testing. Advanced file and protocol template fuzzers enable users to build their own test cases. The SDK allows expert users to use the Defensics framework to develop their own test cases. Defensics is a black box fuzzer, meaning it doesn’t require source code to run. With Defensics, users can secure their cyber supply chain to ensure the interoperability, robustness, quality, and security of software and devices before introducing them into IT or lab environments. Defensics fits nearly any development workflow, whether in a traditional SDL or CI environment. Its API and data export capabilities also enable it to integrate with surrounding technologies, making it a true plug-and-play fuzzer.
  • 8
    Mayhem

    Mayhem

    ForAllSecure

    Advanced fuzzing solution that combines guided fuzzing with symbolic execution, a patented technology from CMU. Mayhem is an advanced fuzz testing solution that dramatically reduces manual testing efforts with autonomous defect detection and validation. Deliver safe, secure, reliable software with less time, cost, and effort. Mayhem’s unique advantage is in its ability to acquire intelligence of its targets over time. As Mayhem’s knowledge grows, it deepens its analysis and maximizes its code coverage. All reported vulnerabilities are exploitable, confirmed risks. Mayhem guides remediation efforts with in-depth system level information, such as backtraces, memory logs, and register state, expediting issue diagnosis and fixes. Mayhem utilizes target feedback to custom generate test cases on the fly -- meaning no manual test case generation required. Mayhem offers access to all of its test cases to make regression testing effortless and continuous.
  • 9
    APIFuzzer
    APIFuzzer reads your API description and step-by-step fuzzes the fields to validate if your application can cope with the fuzzed parameters, and it does not require coding. Parse API definition from a local file or remote URL. JSON and YAML file format support. All HTTP methods are supported. Fuzzing of the request body, query string, path parameter, and request header is supported. Relies on random mutations and supports CI integration. Generate JUnit XML test report format. Send a request to an alternative URL. Support HTTP basic auth from the configuration. Save the report of the failed test in JSON format into the pre-configured folder.
    Starting Price: Free
  • 10
    go-fuzz

    go-fuzz

    dvyukov

    Go-fuzz is a coverage-guided fuzzing solution for testing Go packages. Fuzzing is mainly applicable to packages that parse complex inputs (both text and binary) and is especially useful for hardening systems that parse inputs from potentially malicious users (anything accepted over a network). go-fuzz has recently added preliminary support for fuzzing Go Modules. If you encounter a problem with modules, please file an issue with details. Data is a random input generated by go-fuzz, note that in most cases it is invalid. The function must return 1 if the fuzzer should increase the priority of the given input during subsequent fuzzing if the input must not be added to the corpus even if it gives new coverage, and 0 otherwise; other values are reserved for future use. The fuzz function must be in a package that go-fuzz can import. This means the code you want to test can't be in package main. Fuzzing internal packages is supported, however.
    Starting Price: Free
  • 11
    Awesome Fuzzing
    Awesome Fuzzing is a list of fuzzing resources including books, courses, both free and paid, videos, tools, tutorials, and vulnerable applications to practice in order to learn fuzzing and initial phases of exploit development like root cause analysis. Courses/training videos on fuzzing, videos talking about fuzzing techniques, tools, and best practices. Conference talks and tutorials, blogs, tools that help in fuzzing applications, and fuzzers that help in fuzzing applications that use network-based protocols like HTTP, SSH, SMTP, etc. Search and pick the exploits, that have respective apps available for download, and reproduce the exploit by using the fuzzer of your choice. Set of tests for fuzzing engines. Includes different well-known bugs. A corpus, including various file formats for fuzzing multiple targets in the fuzzing literature.
    Starting Price: Free
  • 12
    Black Duck

    Black Duck

    Black Duck

    Black Duck, part of the Synopsys Software Integrity Group, is a leading provider of application security testing (AST) solutions. Their comprehensive portfolio includes tools for static analysis, software composition analysis (SCA), dynamic analysis, and interactive analysis, enabling organizations to identify and mitigate security vulnerabilities throughout the software development life cycle. By automating the discovery and management of open-source software, Black Duck ensures compliance with security and licensing standards. Their solutions are designed to help organizations build trust in their software by managing application security, quality, and compliance risks at the speed their business demands. Black Duck empowers businesses to innovate securely and deliver software with confidence.
  • 13
    Fuzzbuzz

    Fuzzbuzz

    Fuzzbuzz

    The Fuzzbuzz workflow is very similar to other CI/CD testing workflows. However, unlike other testing workflows, fuzz testing requires multiple jobs to run simultaneously, which results in a few extra steps. Fuzzbuzz is a fuzz testing platform. We make it trivial for developers to add fuzz tests to their code and run them in CI/CD, helping them catch critical bugs and vulnerabilities before they hit production. Fuzzbuzz completely integrates into your environment, following you from the terminal to CI/CD. Write a fuzz test in your environment and use your own IDE, terminal, or build tools. Push to CI/CD and Fuzzbuzz will automatically start running your fuzz tests against your latest code changes. Get notified when bugs are found through Slack, GitHub, or email. Catch regressions as new changes are automatically tested and compared to previous runs. Code is built and instrumented by Fuzzbuzz as soon as a change is detected.
    Starting Price: Free
  • 14
    Honggfuzz
    Honggfuzz is a security-oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW-based). It’s multi-process and multi-threaded, there’s no need to run multiple copies of your fuzzer, as Honggfuzz can unlock the potential of all your available CPU cores with a single running instance. The file corpus is automatically shared and improved between all fuzzed processes. It’s blazingly fast when the persistent fuzzing mode is used. A simple/empty LLVMFuzzerTestOneInput function can be tested with up to 1mo iteration per second on a relatively modern CPU. Has a solid track record of uncovered security bugs, the only (to date) vulnerability in OpenSSL with the critical score mark was discovered by Honggfuzz. As opposed to other fuzzers, it will discover and report hijacked/ignored signals from crashes (intercepted and potentially hidden by a fuzzed program).
    Starting Price: Free
  • 15
    CI Fuzz

    CI Fuzz

    Code Intelligence

    CI Fuzz ensures robust and secure code with test coverage up to 100%. Use CI Fuzz from the command line or in the IDE of choice to generate thousands of test cases automatically. CI Fuzz analyzes code as it runs, just like a unit test, but with AI support to efficiently cover all paths through the code. Uncover real bugs in real-time and say goodbye to theoretical issues and false positives. Find real issues with all the information needed to quickly reproduce and fix them. Test your code with maximum code coverage and automatically detect typical security-relevant bugs like injections and remote code executions automatically in one go. Get fully covered to deliver the highest quality software. Conduct real-time code analysis with CI Fuzz. Take unit tests to the next level. It employs AI for comprehensive code path coverage and the automatic generation of thousands of test cases. Maximize pipeline performance that doesn't compromise software integrity.
    Starting Price: €30 per month
  • 16
    Echidna

    Echidna

    Crytic

    Echidna is a Haskell program designed for fuzzing/property-based testing of Ethereum smart contracts. It uses sophisticated grammar-based fuzzing campaigns based on a contract ABI to falsify user-defined predicates or Solidity assertions. We designed Echidna with modularity in mind, so it can be easily extended to include new mutations or test specific contracts in specific cases. Generates inputs tailored to your actual code. Optional corpus collection, mutation and coverage guidance to find deeper bugs. Powered by Slither to extract useful information before the fuzzing campaign. Source code integration to identify which lines are covered after the fuzzing campaign. Interactive terminal UI, text-only or JSON output. Automatic test case minimization for quick triage. Seamless integration into the development workflow. Maximum gas usage reporting of the fuzzing campaign. Support for a complex contract initialization with Etheno and Truffle.
    Starting Price: Free
  • 17
    Waldo

    Waldo

    Waldo

    Upload your app to Waldo and walk through it as you would on your phone. Waldo records every screen and the logic that connects them to learn how your app is structured. Anyone can do it. You're about to launch a new app update? We've got you. Waldo reliably replays your tests against every new version of your app. It's automatic. If a test fails, Waldo lets you know precisely where things went wrong so you can update the failed test or alert your team to fix the issue. Nimble mobile teams seeking the benefits of automation and don't have the resources, time, or desire to setup scripting tools. Larger app teams looking to spend more time working on code quality and features than bug tracking.
  • 18
    Google OSS-Fuzz
    OSS-Fuzz offers continuous fuzzing for open source software. Fuzz testing is a well-known technique for uncovering programming errors in software. Many of these detectable errors, like buffer overflow, can have serious security implications. Google has found thousands of security vulnerabilities and stability bugs by deploying guided in-process fuzzing of Chrome components, and we now want to share that service with the open source community. OSS-Fuzz aims to make common open source software more secure and stable by combining modern fuzzing techniques with scalable, distributed execution. Projects that do not qualify for OSS-Fuzz can run their own instances of ClusterFuzz or ClusterFuzzLite. Currently, OSS-Fuzz supports C/C++, Rust, Go, Python, and Java/JVM code. Other languages supported by LLVM may work too. OSS-Fuzz supports fuzzing x86_64 and i386 builds.
    Starting Price: Free
  • 19
    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.
  • 20
    american fuzzy lop
    American fuzzy lop is a security-oriented fuzzer that employs a novel type of compile-time instrumentation and genetic algorithms to automatically discover clean, interesting test cases that trigger new internal states in the targeted binary. This substantially improves the functional coverage for the fuzzed code. The compact synthesized corpora produced by the tool are also useful for seeding other, more labor or resource-intensive testing regimes down the road. Compared to other instrumented fuzzers, afl-fuzz is designed to be practical, it has a modest performance overhead, uses a variety of highly effective fuzzing strategies and effort minimization tricks, requires essentially no configuration, and seamlessly handles complex, real-world use cases, say, common image parsing or file compression libraries. It's an instrumentation-guided genetic fuzzer capable of synthesizing complex file semantics in a wide range of non-trivial targets.
    Starting Price: Free
  • 21
    Grammatech Proteus
    Proteus is an advanced software testing system for automatically finding and fixing vulnerabilities, with no false alarms, aimed at development groups, testing organizations, and cybersecurity teams. It discovers vulnerabilities that could be triggered by potentially malicious files or network inputs, including many common entries in the Common Weakness Enumeration (CWE). The tool supports Windows and Linux native binaries. By integrating and simplifying the use of state-of-the-art tools for binary analysis and transformation, Proteus lowers the costs and increases the efficiency and effectiveness of software testing, reverse engineering, and maintenance. Binary analysis, mutational fuzzing, and symbolic execution without the need for source code, and a professional-grade user interface for result aggregation and presentation. Advanced exploitability reporting and reasoning capability, and deployment in a virtualized environment or on a host system.
    Starting Price: Free
  • 22
    LibFuzzer

    LibFuzzer

    LLVM Project

    LibFuzzer is an in-process, coverage-guided, evolutionary fuzzing engine. LibFuzzer is linked with the library under test, and feeds fuzzed inputs to the library via a specific fuzzing entry point (or target function); the fuzzer then tracks which areas of the code are reached, and generates mutations on the corpus of input data in order to maximize the code coverage. The code coverage information for libFuzzer is provided by LLVM’s SanitizerCoverage instrumentation. LibFuzzer is still fully supported in that important bugs will get fixed. The first step in using libFuzzer on a library is to implement a fuzz target, a function that accepts an array of bytes and does something interesting with these bytes using the API under test. Note that this fuzz target does not depend on libFuzzer in any way so it is possible and even desirable to use it with other fuzzing engines like AFL and/or Radamsa.
    Starting Price: Free
  • 23
    PFLB

    PFLB

    PFLB

    PFLB is an AI-powered load testing platform where you can simulate massive traffic to your websites, and applications. It’s easy to use and super helpful for teams that want to ensure their product is ready to scale. Features: Realistic testing with scenario-based traffic simulation. Importing your production load profile with Google Analytics integration. Easy scripting with an intuitive no-code editor. Executing advanced JMeter scenarios at scale. Resolving bottlenecks with AI-powered performance insights. Discovering load testing results with Grafana dashboards. Protocols: HTTP, HTTPS, gRPC, JDBC, JMS, AMQP, MQTT, Kafka.
    Starting Price: $50/month
  • 24
    Solidity Fuzzing Boilerplate
    Solidity Fuzzing Boilerplate is a template repository intended to ease fuzzing components of Solidity projects, especially libraries. Write tests once and run them with both Echidna and Foundry's fuzzing. Fuzz components that use incompatible Solidity versions by deploying those into a Ganache instance via Etheno. Use HEVM's FFI cheat code to generate complex fuzzing inputs or to compare outputs with non-EVM executables while doing differential fuzzing. Publish your fuzzing experiments without worrying about licensing by extending the shell script to download specific files. Turn off FFI if you don't intend to make use of shell commands from your Solidity contracts. Note that FFI is slow and should only be used as a workaround. It can be useful for testing against things that are difficult to implement within Solidity and already exist in other languages. Before executing tests of a project that has FFI enabled, be sure to check what commands are actually being executed.
    Starting Price: Free
  • 25
    afl-unicorn

    afl-unicorn

    Battelle

    afl-unicorn lets you fuzz any piece of binary that can be emulated by Unicorn Engine. If you can emulate the code you’re interested in using the Unicorn Engine, you can fuzz it with afl-unicorn. Unicorn Mode works by implementing the block-edge instrumentation that AFL’s QEMU mode normally does into Unicorn Engine. Basically, AFL will use block coverage information from any emulated code snippet to drive its input generation. The whole idea revolves around the proper construction of a Unicorn-based test harness. The Unicorn-based test harness loads the target code, sets up the initial state, and loads in data mutated by AFL from disk. The test harness then emulates the target binary code, and if it detects that a crash or error occurred it throws a signal. AFL will do all its normal stuff, but it’s actually fuzzing the emulated target binary code. Only tested on Ubuntu 16.04 LTS, but it should work smoothly with any OS capable of running both AFL and Unicorn.
    Starting Price: Free
  • 26
    Gremlin

    Gremlin

    Gremlin

    Everything you need to safely, securely, and simply build reliable software through Chaos Engineering. Use Gremlin's comprehensive set of failure modes to experiment across your system, including bare metal, any cloud provider, containerized environments, kubernetes, applications, and serverless. Throttle CPU, Memory, I/O, and Disk. Reboot hosts, kill processes, travel in time. Introduce latency, blackhole traffic, lose packets, fail DNS. Test for failure in your code. Fail or delay serverless functions. Narrow the impact to a single user, device, or percentage of traffic.
  • 27
    Appium

    Appium

    The JS Foundation

    Appium is an open source test automation framework for use with native, hybrid and mobile web apps. It drives iOS, Android, and Windows apps using the WebDriver protocol. Appium is built on the idea that testing native apps shouldn't require including an SDK or recompiling your app. And that you should be able to use your preferred test practices, frameworks, and tools. Appium is an open source project and has made design and tool decisions to encourage a vibrant contributing community. Appium aims to automate any mobile app from any language and any test framework, with full access to back-end APIs and DBs from test code. Write tests with your favorite dev tools using all the above programming languages, and probably more (with the Selenium WebDriver API and language-specific client libraries).
  • 28
    BFuzz

    BFuzz

    RootUp

    BFuzz is an input-based fuzzer tool that takes HTML as an input, opens up your browser with a new instance, and passes multiple test cases generated by domato which is present in the recurve folder of BFuzz, more over BFuzz is an automation that performs the same task repeatedly and it doesn't mangle any test cases. Running BFuzz will ask for the option of whether to fuzz Chrome or Firefox, however, this will open Firefox from recurve and create the logs on the terminal. BFuzz is a small script that enables you to open the browser and run test cases. The test cases in recurve are generated by the domato generator and contain the main script. It contains additional helper code for DOM fuzzing.
    Starting Price: Free
  • 29
    Sulley

    Sulley

    OpenRCE

    Sulley is a fuzzing engine and fuzz testing framework consisting of multiple extensible components. Sulley (IMHO) exceeds the capabilities of most previously published fuzzing technologies, commercial and public domain. The goal of the framework is to simplify not only data representation but to simplify data transmission and instrumentation. A pure-Python fully automated and unattended fuzzing framework. Sulley not only has impressive data generation but has taken this a step further and includes many other important aspects a modern fuzzer should provide. Sulley watches the network and methodically maintains records. Sulley instruments and monitors the health of the target, capable of reverting to a known good state using multiple methods. Sulley detects, tracks, and categorizes detected faults. Sulley can fuzz in parallel, significantly increasing test speed. Sulley can automatically determine what unique sequence of test cases triggers faults.
    Starting Price: Free
  • 30
    FuzzDB

    FuzzDB

    FuzzDB

    FuzzDB was created to increase the likelihood of finding application security vulnerabilities through dynamic application security testing. It's the first and most comprehensive open dictionary of fault injection patterns, predictable resource locations, and regex for matching server responses. FuzzDB contains comprehensive lists of attack payload primitives for fault injection testing. These patterns, categorized by the attack and where appropriate platform type, are known to cause issues like OS command injection, directory listings, directory traversals, source exposure, file upload bypass, authentication bypass, XSS, HTTP header crlf injections, SQL injection, NoSQL injection, and more. For example, FuzzDB catalogs 56 patterns that can potentially be interpreted as a null byte and contains lists of commonly used methods and name-value pairs that trigger debug modes.
    Starting Price: Free
  • 31
    Cypress

    Cypress

    Cypress.io

    Fast, easy and reliable end-to-end testing for anything that runs in a browser. Cypress has been made specifically for developers and QA engineers, to help them get more done. Cypress benefits from our amazing open-source community - and our tools are evolving better and faster than if we worked on them alone. Cypress is based on a completely new architecture. No more Selenium. Lots more power. Cypress takes snapshots as your tests run. Simply hover over commands in the Command Log to see exactly what happened at each step. Stop guessing why your tests are failing. Debug directly from familiar tools like Chrome DevTools. Our readable errors and stack traces make debugging lightning fast. Cypress automatically reloads whenever you make changes to your tests. See commands execute in real-time in your app. Never add waits or sleeps to your tests. Cypress automatically waits for commands and assertions before moving on. No more async hell.
    Starting Price: Free
  • 32
    MaTeLo

    MaTeLo

    All4Tec

    MaTeLo is a simple and efficient solution for testing complex systems. Keep your tests up to date in time easily without having to manually regenerate all your test cases. MaTeLo takes care of everything! A diagram will always be more understandable than a piece of code. At a glance, you understand the mechanics of the tests whether they were built by you or by someone else. Go back and update your tests whenever you want without spending hours redefining everything. Enjoy the power of a collaborative and visual tool. Edit your tests easily thanks to a user interface designed for simplicity. No need to be a coding expert! With MaTeLo, creating your tests has never been easier. Use built-in widgets to define your tasks and transitions. With a Drag&Drop edition, focus only on the logic of your tests by mapping your system with graphical elements. Test hundreds of thousands of situations with your data sets. Implement an infinite number of variations in your data.
  • 33
    ClusterFuzz
    ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software. Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features to seamlessly integrate fuzzing into a software project’s development process. Fully automatic bug filing, triage, and closing for various issue trackers. Supports multiple coverages guided fuzzing engines for optimal results (with ensemble fuzzing and fuzzing strategies). Statistics for analyzing fuzzer performance, and crash rates. Easy to use web interface for management and viewing crashes. Support for various authentication providers using Firebase. Support for black-box fuzzing, test case minimization, and regression finding through bisection.
  • 34
    Google ClusterFuzz
    ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software. Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features to seamlessly integrate fuzzing into a software project’s development process. Fully automatic bug filing, triage, and closing for various issue trackers. Supports multiple coverages guided fuzzing engines for optimal results (with ensemble fuzzing and fuzzing strategies). Statistics for analyzing fuzzer performance, and crash rates. Easy to use web interface for management and viewing crashes. Support for various authentication providers using Firebase. Support for black-box fuzzing, test case minimization, and regression finding through bisection.
    Starting Price: Free
  • 35
    Mayhem Code Security
    Thousands of autonomously generated tests run every minute to pinpoint vulnerabilities and guide rapid remediation. Mayhem takes the guesswork out of untested code by autonomously generating test suites that produce actionable results. No need to recompile the code, since Mayhem works with dockerized images. Self-learning ML continually runs thousands of tests per second probing for crashes and defects, so developers can focus on features. Continuous testing runs in the background to surface new defects and increase code coverage. Mayhem delivers a copy/paste reproduction and backtrace for every defect, then prioritizes them based on your risk. See all the results, duplicated and prioritized by what you need to fix now. Mayhem fits into your existing build pipeline and development tools, putting actionable results at your developers' fingertips. No matter what language or tools your team uses.
  • 36
    Test-Lab.ai

    Test-Lab.ai

    Test-Lab.ai

    Test-Lab.ai is an AI-powered browser testing platform designed to automate web application testing without scripts. It uses autonomous AI agents that simulate real user behavior to explore websites and validate workflows. Users simply describe what they want to test in plain English, eliminating the need for selectors, test code, or manual maintenance. The platform runs tests in real browsers, handling dynamic content, authentication flows, and popups automatically. Test-Lab.ai delivers clear results within minutes, including screenshots, logs, and pass/fail explanations. Its self-healing AI adapts to UI changes, reducing flaky tests and ongoing maintenance. Built for speed and scalability, Test-Lab.ai integrates easily into CI/CD pipelines to keep pace with modern development.
    Starting Price: $29/month
  • 37
    Tosca

    Tosca

    Tricentis

    No-code, Automated Continuous Testing. Tricentis Tosca, the #1 Continuous Testing platform, accelerates testing with a script-less, no-code approach for end-to-end test automation. With support for over 160+ technologies and enterprise applications, Tosca provides resilient test automation for any use case. Learn how Tricentis Tosca can help you: - Deliver fast feedback for Agile and DevOps - Reduce regression testing time to minutes - Maximize reuse and maintainability - Gain clear insight into business risk - Integrate and extend existing test assets (HPE UFT, Selenium, SoapUI…)
  • 38
    OWASP WSFuzzer
    Fuzz testing or fuzzing is a software testing technique, that basically consists in finding implementation bugs using malformed/semi-malformed data injection in an automated fashion. Let’s consider an integer in a program, which stores the result of a user’s choice between 3 questions. When the user picks one, the choice will be 0, 1, or 2, which makes three practical cases. Integers are stored as a static size variable. If the default switch case hasn’t been implemented securely, the program may crash and lead to “classical” security issues. Fuzzing is the art of automatic bug finding, and its role is to find software implementation faults and identify them if possible. A fuzzer is a program that automatically injects semi-random data into a program/stack and detects bugs. The data-generation part is made of generators, and vulnerability identification relies on debugging tools. Generators usually use combinations of static fuzzing vectors.
  • 39
    Peach Fuzzer

    Peach Fuzzer

    Peach Tech

    Peach is a SmartFuzzer that is capable of performing both generation and mutation-based fuzzing. Peach requires the creation of Peach Pit files that define the structure, type information, and relationships in the data to be fuzzed. It additionally allows for the configuration of a fuzzing run including selecting a data transport (publisher), logging interface, etc. Peach has been under active development since 2004 and is in its third major version. Fuzzing continues to be the fastest way to find security issues and test for bugs. Effective hardware fuzzing with Peach will introduce students to the fundamentals of device fuzzing. Peach was designed to fuzz any type of data consumer from servers to embedded devices. Researchers, corporations, and governments already use Peach to find vulnerabilities in hardware. This course will focus on using Peach to target embedded devices and collect information from the device in the event of a crash.
    Starting Price: Free
  • 40
    StackHawk

    StackHawk

    StackHawk

    StackHawk tests your running applications, services, and APIs for security vulnerabilities that your team has introduced as well as exploitable open source security bugs. Automated test suites in CI/CD are the norm for today’s engineering teams. Why should application security be any different? StackHawk is built to check for vulnerabilities in your pipeline. Built for developers is more than a tagline. It is the ethos of StackHawk. Application security has shifted left and developers need a tool for reviewing and fixing security findings. With StackHawk, application security can keep up with the pace of today’s engineering teams. Find vulnerabilities at the pull request and quickly push out fixes, all while yesterday’s security tools are waiting for someone to kick off a manual scan. A security tool that developers love to use, powered by the world’s most widely used open source security scanner.
    Starting Price: $99 per month
  • 41
    Boofuzz

    Boofuzz

    Boofuzz

    Boofuzz is a fork of and the successor to the venerable Sulley fuzzing framework. Besides numerous bug fixes, Boofuzz aims for extensibility. Like Sulley, Boofuzzincorporates all the critical elements of a fuzzer like easy and quick data generation, instrumentation and failure detection, target reset after failure, and recording of test data. Much easier install experience and support for arbitrary communications mediums. Built-in support for serial fuzzing, ethernet- and IP-layer, UDP broadcast. Better recording of test data, consistent, thorough, and clear. Test result CSV export and extensible instrumentation/failure detection. Boofuzz installs as a Python library used to build fuzzer scripts. It is strongly recommended to set up Boofuzz in a virtual environment.
    Starting Price: Free
  • 42
    BlackArch Fuzzer
    BlackArch is a Linux pentesting distribution based on ArchLinux. BlackArch Fuzzer provides packages that use the fuzz testing principle.
  • 43
    Atheris

    Atheris

    Google

    Atheris is a coverage-guided Python fuzzing engine. It supports fuzzing of Python code, but also native extensions written for CPython. Atheris is based on libFuzzer. When fuzzing native code, Atheris can be used to catch extra bugs. Atheris supports Linux (32- and 64-bit) and Mac OS X, with Python versions 3.6-3.10. It comes with a built-in libFuzzer, which is fine for fuzzing Python code. If you plan to fuzz native extensions, you may need to build from source to ensure the libFuzzer version in Atheris matches your Clang version. Atheris relies on libFuzzer, which is distributed with Clang. Apple Clang doesn't come with libFuzzer, so you'll need to install a new version of LLVM. Atheris is based on a coverage-guided mutation-based fuzzer (LibFuzzer). This has the advantage of not requiring any grammar definition for generating inputs, making its setup easier. The disadvantage is that it will be harder for the fuzzer to generate inputs for code that parses complex data types.
    Starting Price: Free
  • 44
    Ranorex Studio
    Empower everyone on the team to perform robust automated testing on desktop, web and mobile applications, regardless of their experience with functional test automation tools. Ranorex Studio is an all-in-one solution that includes tools for codeless automation as well as a full IDE. With our industry-leading object recognition and shareable object repository, Ranorex Studio makes it possible to automate GUI testing for even the most challenging interfaces, from legacy applications to the latest web and mobile technologies. Ranorex Studio supports cross-browser testing with built-in Selenium WebDriver integration. Perform effortless data-driven testing using CSV files, Excel spreadsheets or SQL database files as input. Ranorex Studio also supports keyword-driven testing: our tools for collaboration allow test automation engineers to build reusable code modules and share them with the team. Download our free 30-day trial for a risk-free start to test automation.
    Starting Price: $3,590 for single-user license
  • 45
    ProdPerfect

    ProdPerfect

    ProdPerfect

    ProdPerfect is the first autonomous, end-to-end (E2E) regression testing solution that continuously builds, maintains, and evolves E2E test suites via data-driven, machine-led analysis of live user behavior data. It is the only fully managed solution that addresses critical test coverage gaps, eliminates long test suite runtimes and costly bugs in production, and removes the QA burden that consumes massive engineering resources. ProdPerfect continuously detects and discovers user journeys via anonymous user click data and analyzes them to generate functional end-to-end tests. After speaking with thousands of innovative technology leaders, we understand how to integrate the ProdPerfect platform and create a more effective approach to end-to-end testing for teams pursuing CI/CD deployments. Start a conversation with us today to learn how ProdPerfect can help your team achieve continuous development.
  • 46
    BlazeMeter

    BlazeMeter

    BlazeMeter

    BlazeMeter’s open-source based, enterprise ready platform unifies all the functionality you need to shift testing left - and right. Use our intuitive UI to create tests or reuse your existing scripts and run them at scale as part of your continuous testing strategy. Test and generate detailed reporting and see historic trends. Spend more time innovating & less time maintaining your toolchain. Continuous testing is key to delivering with quality, volume, and velocity. But integrating, maintaining, learning and switching between multiple tools wastes valuable time and resources. BlazeMeter makes it easy with a super intuitive platform that does it all. BlazeMeter delivers complete shift left testing, so you can wow the marketplace with innovation. BlazeMeter provides all the components you need for shift left continuous testing. Work with CLIs, APIs, UI, open source tools, and more. Save HUGE time with setup, maintenance, learning, and day to day use.
    Starting Price: $149 per month
  • 47
    TestProject

    TestProject

    TestProject

    TestProject is the world’s first free cloud-based, community-powered test automation platform. TestProject makes it easier for testers to do their jobs quickly, and to collaborate using popular open source frameworks (e.g., Selenium and Appium) to ensure quality with speed. By fostering a collaborative community that can come together — as individuals and in teams — TestProject is shaping the future of software testing. Founded in 2015 in Israel, TestProject aims to create a powerful and collaborative environment for the entire test automation community, without any barriers, and completely for free. Learn more at https://testproject.io.
  • 48
    UI-licious

    UI-licious

    Uilicious

    Stop writing brittle tests with hard-coded CSS, XPATH selectors and waits. Write tests that are meaningful to people, effortless to maintain, and reusable. The reason for this is because writing your tests using hard-coded CSS and XPATH selectors is like pouring concrete onto a specific UI implementation. This creates very high-maintenance tests that break at the slightest changes to the UI and are very hard for humans to read. UI-licious uses dynamic code analysis to understand the structure of your website based on the use of semantic HTML and ARIA accessibility attributes, as well as context of the previous commands, to identify which is the intended element to target for every command. This means that even if the HTML code for the UI changes underneath the code, the test is valid as long as the user journey remains the same. That said, your website doesn't to be written perfectly for UI-licious to work.
    Starting Price: $90 per month
  • 49
    Avo Assure

    Avo Assure

    Avo Automation

    The Avo Quality Automation System is the world’s gold standard for simple, intelligent and resilient automation, freeing people from manual tasks and allowing them to do more of what they love. Highly intelligent and application-agnostic, Avo Assure takes quality assurance beyond current software test automation tools without writing code. Instantly auto-generate test automation across the web, mobile, desktop, ERP applications, & mainframes without writing code. Leverage 1400+ prebuilt keywords to easily & rapidly build test cases. Easily visualize your test landscape, with the first mind map in test automation. Quickly update and upgrade test scenarios to expand coverage & reduce maintenance. Eliminate errors as you change and update applications over time. Highly intelligent and application-agnostic, Avo Assure takes quality assurance beyond current software test automation tools without writing code.
  • 50
    Early

    Early

    EarlyAI

    Early is an AI-driven tool designed to automate the generation and maintenance of unit tests, enhancing code quality and accelerating development processes. By integrating with Visual Studio Code (VSCode), Early enables developers to produce verified and validated unit tests directly from their codebase, covering a wide range of scenarios, including happy paths and edge cases. This approach not only increases code coverage but also helps identify potential issues early in the development cycle. Early supports TypeScript, JavaScript, and Python languages, and is compatible with testing frameworks such as Jest and Mocha. The tool offers a seamless experience by allowing users to quickly access and refine generated tests to meet specific requirements. By automating the testing process, Early aims to reduce the impact of bugs, prevent code regressions, and boost development velocity, ultimately leading to the release of higher-quality software products.
    Starting Price: $19 per month