Alternatives to Mayhem
Compare Mayhem alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Mayhem in 2026. Compare features, ratings, user reviews, pricing, and more from Mayhem competitors and alternatives in order to make an informed decision for your business.
-
1
MuukTest
MuukTest
Are bugs slipping through your QA process and frustrating your customers? Catching issues early shouldn’t mean overwhelming your team with time-consuming tests. With MuukTest’s AI-driven platform, growing engineering teams reach 95% end-to-end test coverage in just 3 months, delivering quality at speed. By leveraging AI, our QA experts rapidly design, manage, and maintain comprehensive E2E tests for web, mobile, and API applications on the MuukTest platform. Within 8 weeks, we deliver full regression coverage, followed by exploratory and negative testing to uncover hidden bugs and expand test scenarios. We also proactively identify and address flaky tests and false results to ensure the reliability of your tests. Testing early and often allows you to detect bugs in the early stages of your development lifecycle, reducing the burden of technical debt down the line. -
2
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 -
3
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. -
4
ClusterFuzz
Google
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. -
5
Google ClusterFuzz
Google
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 -
6
american fuzzy lop
Google
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 -
7
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 -
8
Awesome Fuzzing
secfigo
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 -
9
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 -
10
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 -
11
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 -
12
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 -
13
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 -
14
Google OSS-Fuzz
Google
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 -
15
OWASP WSFuzzer
OWASP
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. -
16
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 -
17
Solidity Fuzzing Boilerplate
patrickd
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 -
18
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 -
19
beSTORM
Beyond Security (Fortra)
Discover code weaknesses and certify the security strength of any product without access to source code. Test any protocol or hardware with beSTORM, even those used in IoT, process control, CANbus compatible automotive and aerospace. Realtime fuzzing, doesn’t need access to the source code, no cases to download. One platform, one GUI to learn, with over 250+ prebuilt protocol testing modules and the ability to add custom and proprietary ones. Find the security weaknesses before deployment that are most often discovered by external actors after release. Certify vendor components and your own applications in your own testing center. Self-learning software module and propriety software testing. Customization and scalability for any business sizes up or down. Automatically generate and deliver near-infinite attack vectors and document any product failures. Record every pass/fail and hand engineering the exact command that produced each fail.Starting Price: $50,000.00/one-time -
20
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 -
21
Defensics Fuzz Testing
Black Duck
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. -
22
APIFuzzer
PyPI
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 -
23
Honggfuzz
Google
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 -
24
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 -
25
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 -
26
BlackArch Fuzzer
BlackArch
BlackArch is a Linux pentesting distribution based on ArchLinux. BlackArch Fuzzer provides packages that use the fuzz testing principle. -
27
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 -
28
Mayhem Code Security
Mayhem
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. -
29
Radamsa
Aki Helin
Radamsa is a test case generator for robustness testing or fuzzer. It is typically used to test how well a program can withstand malformed and potentially malicious inputs. It works by reading sample files of valid data and generating interestingly different outputs from them. The main selling points of Radamsa are that it has already found a slew of bugs in programs that actually matter, it is easily scriptable, and, easy to get up and running. Fuzzing is one of the techniques to find unexpected behavior in programs. The idea is simply to subject the program to various kinds of inputs and see what happens. There are two parts to this process: getting the various kinds of inputs and how to see what happens. Radamsa is a solution to the first part, and the second part is typically a short shell script. Testers usually have a more or less vague idea of what should not happen, and they try to find out if this is so.Starting Price: Free -
30
JIterator
Windex Inc
JIterator Traffic Testing Platform is an automated testing solution that revolutionizes the way Java backend systems are tested. With its core functionalities centered around traffic recording and replay, it offers a streamlined approach to ensure system stability and accelerate development cycles. Key Capabilities • Traffic Recording and Replay: Capture and replay user request traffic with ease, ensuring thorough testing coverage. • Data Comparison: Quickly identify discrepancies through intelligent data comparison tools. • Automated Test Case Generation: Generate test cases automatically from recorded traffic, reducing manual effort. • Environment Simulation: Simulate and isolate testing environments for reliable and secure testing. Why Choose JIterator? • Efficiency: Streamline your testing process and reduce time-to-market. • Accuracy: Trust in the precision of automated data comparison and analysis.Starting Price: $14.95/month/user -
31
MyCrowd QA
MyCrowd QA
MyCrowd Studio is an on-demand crowd testing platform for websites and mobile apps. Kick tests off in real-time, get results remarkably fast. MyCrowd Studio makes it easy to set up explorative tests for websites or mobile apps. Supply instructions, select your target devices, set your budget and launch the test. Whether self-service or fully managed, explorative bug hunts run on MyCrowd Studio can get you results within hours. Perform Regression testing, compatibility testing or UAT with Test Cases. Easily create natural language Test Cases and let MyCrowd’s community of testers run through them quickly and cost-effectively. Faster than you ever thought possible. Our testers can scale up and test in parallel. Want an example? With our “Express Test”, we can perform a week’s worth of testing in 3 hours. That means you get results the same day and can get your team of your developers back to developing. Faster testing means getting to market faster.Starting Price: $450 per month -
32
Figaf DevOps Tool
Figaf
Testing is about peace of mind. There are a lot of different ways you can run tests. We focus on regression tests. It allows you to test your changes before they are implemented and it secures you that the interface will not run differently this time compared to last time. When you make modifications to your interfaces to help support one case, it can mean other parts will stop working. There are many different ways to create test cases. For SAP Integration the best approach is to be able to fetch messages from the production system and use them as a base line. Figaf Testing Tool is a part of Figaf DevOps Tool but can be bought separately. There is a lot of logic in your SAP Integrations. You, therefore, need to find a good way to test it. In some cases, the logic is pretty simple, in others there can be complicated rules about how lines should be handled. A standard test case is designed to test one item. In real life, customers make complex orders. -
33
TestingWhiz
TestingWhiz
Make test automation a breeze with TestingWhiz, an easy and intuitive end-to-end test automation solution for software, web, and mobile apps. Based on a robust FAST® Automation Engine, TestingWhiz has a codeless architecture that allows individual testers, test engineers and large or small automation teams to build test cases effortlessly. TestingWhiz' automated testing solutions include web UI, mobile, database, web services, cross browser, big data, regression, and data-driven test automation solutions.Starting Price: $149.00/month/user -
34
RemoteLaunch
inflectra
Extend your SpiraTest installation with support for automated regression testing. Our RemoteLaunch application will connect to your automated testing tools and allow SpiraTest to orchestrate your testing activities, both manual and automated in one place. Automated test scripts are a valuable way to perform regression testing on applications to ensure that new features or bug fixes don’t break existing functionality. They typically supplement manual testing which is more efficient at the testing of new features and capabilities. For complete test coverage you need to perform the same automated tests across a complete spectrum of platforms, browsers, devices and environments. Using RemoteLaunch® with SpiraTest® or SpiraTeam® allows you to manage the automated testing process. Track the automated tests against the project’s requirements Have a holistic view of manual and automated testing.Starting Price: $199.99 per year -
35
TESSY
Razorcat
TESSY automates the whole unit test cycle including regression testing for your embedded software in C/C++ on different target systems. As an easy-to-install and easy-to-operate testing tool TESSY guides you through the unit test workflow from the project setup through the test design and execution to the result analysis and reporting. TESSY takes additional care of the complete test organization as well as the test management, including requirements, coverage measurement, and traceability. The TESSY test project management feature provides the possibility to define an individual test project structure based on collections and folders, to define environment variables, and to configure your desired compiler/debugger with the help of the integrated Test Environment Editor. The coverage results are displayed directly within the project structure and the test results are stored within test runs which allows for keeping former (successful) results for reporting. -
36
Testimony
Basis
Testimony reinvents SAP regression testing by eliminating the cost, effort and complexity of test script creation and maintenance. Rapid delivery of innovation can’t come at the expense of business continuity. But it’s hard to know exactly what impact change will have when critical processes rely on complex SAP systems. Testimony provides the confidence your teams need to accelerate change without fear of unintended outcomes. Its unique technology avoids the challenge and expense of traditional regression testing by eliminating script creation and maintenance. Robotic Test Automation is a fully automated approach that observes live user behavior in SAP production system and uses this data to automatically validate the impact of change. The technology massively reduces the need for resource-intensive steps such as business process discovery, test script creation and test data management. -
37
Usetrace
Usetrace
Usetrace is a software testing automation platform that provides performance monitoring, load testing, and regression testing for small and mid-sized businesses. This code-free editor is used by web product development teams to build robust test cases across multiple browsers. Usetrace also enables production teams to seamlessly monitor critical business processes and ensures the effective functioning of a web app or website with its on-demand testing features. Additional features provided by Usetrace include test reporting, project management and collaboration, responsive testing, traces editor, and synchronization and waiting.Starting Price: $49 per month -
38
syzkaller
Google
syzkaller is an unsupervised coverage-guided kernel fuzzer. Supports FreeBSD, Fuchsia, gVisor, Linux, NetBSD, OpenBSD, and Windows. Initially, syzkaller was developed with Linux kernel fuzzing in mind, but now it's being extended to support other OS kernels as well. Once syzkaller detects a kernel crash in one of the VMs, it will automatically start the process of reproducing this crash. By default, it will use 4 VMs to reproduce the crash and then minimize the program that caused it. This may stop the fuzzing, since all of the VMs might be busy reproducing detected crashes. The process of reproducing one crash may take from a few minutes up to an hour depending on whether the crash is easily reproducible or non-reproducible at all.Starting Price: Free -
39
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…) -
40
Fuzzing Project
Fuzzing Project
Fuzzing is a powerful strategy to find bugs in software. The idea is quite simple, which is to generate a large number of randomly malformed inputs for the software to parse and see what happens. If the program crashes then something is likely wrong. While fuzzing is a well-known strategy, it is surprisingly easy to find bugs, often with security implications, in widely used software. Memory access errors are the errors most likely to be exposed when fuzzing software that is written in C/C++. While they differ in the details, the core problem is often the same, the software reads or writes to the wrong memory locations. A modern Linux or BSD system ships a large number of basic tools that do some kind of file displaying and parsing. In their current state, most of these tools are not suitable for untrusted inputs. On the other hand, we have powerful tools these days that allow us to find and analyze these bugs.Starting Price: Free -
41
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 -
42
Zoho QEngine
Zoho
Manage all test cases across platforms in one place, with Zoho QEngine's no-code, low-code as well manual coding features. Create, develop, manage and execute automated functional tests while collaborating with your team. Zoho QEngine's test automation software is everything you need to run your entire testing lifecycle. Zoho QEngine comes equipped to test web applications across browsers. With minimal coding/no-code build and manage automated test cases for web applications 10X faster. Automated testing for web applications is made simple with Zoho QEngine. With functionalities such as mobile emulators and simulators, Appium compatibility, and real devices Zoho QEngine ensures your test cases for mobile meets quality standards. Test, assert, manage, and automate all types of API requests and responses with Zoho QEngine's intuitive cloud-based API testing software. With interoperability API testing, Zoho QEngine has the functionalities you seek in a testing tool.Starting Price: $101.57 per month -
43
WAPT Pro
SoftLogica
We can provide a more specific service upon request. For example, to employ the client’s QA team for the test run, we can prepare test source files and license the required WAPT Pro components. We can also assist with the analysis of the results after the test is completed. On average, one-time testing projects are completed in a week while recurring arrangements are also available. Additionally, we can help establish a client testing environment for regression testing. Test development may be a complex task, because each emulated session must be unique and consistent. Unless the website consists of exclusively static pages, there is no testing tool that can fully automate the test design process. In many cases the implementation may require considerable research of the client-server communication scheme. While a good testing tool may create a detailed report with data and charts showing different performance parameters.Starting Price: $700 one-time payment -
44
Qualisense Test.Predictor
QualiTest Group
Qualisense Test.Predictor is our new AI-powered tool that dramatically improves risk-based testing strategies. It uses AI and automation to speed up time to release, cut costs and redeploy resources to focus on what matters most. With more than 6X increase in release velocity you can dramatically improve speed to market. Achieve more with less is not just a slogan when it comes to Test.Predictor, it’s a method of operation. These innovative AI capabilities are transforming software testing and reinventing regression testing. Test.Predictor empowers business users and data analysts to create prediction models independently. Simply put, it’s the ultimate testing solution. Qualisense, our proprietary AI-powered tool, dramatically improves risk-based testing strategies. It uses AI and automation to speed up time to release, cut costs and redeploy resources to focus on what matters most to your business. -
45
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 -
46
Original Software
Original Software
For over 25 years, our testing platform has empowered businesses to enhance software quality with ease. Original Software provides a centralized solution for automating, capturing, and managing tests across your ERP and any integrated applications—right out of the box. With pre-built test case templates and a fully code-free approach, it’s incredibly user-friendly, enabling business users to execute tests effortlessly without any technical expertise. Ditch spreadsheets and screenshots—Original Software delivers instant efficiencies, typically cutting testing time by 50%. Plus, when you're ready to elevate your process, AI-powered test automation allows you to build a fully automated regression suite without writing a single line of code. Whether you’re working with on-premise, cloud-based, custom, or green screen applications, Original Software seamlessly supports testing across all environments. No hassle, just reliable results.Starting Price: $4000.00/one-time/user -
47
testRigor
testRigor
testRigor is a feature specification engine designed to allow anyone on your team to build, maintain and understand tests created and executed in plain English. We provide a Chrome plugin to speed-up test creation, and our AI-powered system dramatically reduces test maintenance to a bare minimum and autonomously generates tests that reflect your end users’ behavior. -
48
BugBug
BugBug
Create reliable tests just by recording your user journey on the web application. No coding skill required. Make sure that application crucial flows work correctly by running and verifying tests within a schedule. Stop wasting your time on testing the same things after app changes. Use BugBug to automate manual regression tests. No more struggling with IT infrastructure. Run tests in BugBug cloud radically cutting DevOps costs. No matter how experienced they are. With BugBug creating tests in a team is really easy, enjoyable and powerful. Build trust and improve user satisfaction by drastically reducing the chances of bugs on each delivery. Create tests by recording actions in the browser, edit and run them knowing that they will really work! We have created a reliable record & playback tool that will improve your work, not just advertise it in this way.Starting Price: €69 per month -
49
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. -
50
Yethi Tenjin
Yethi
Take your enterprise software testing to the next level with Tenjin’s superior automated test suite powered by an intuitive and path-breaking algorithm that automatically “learns” the software’s UI and “re-learns” any changes without manual assistance. Adopt Tenjin today to benefit from immense savings in time, money, and resource strength. Tenjin Connect automates testing at the API level, enabling granular and faster test cycles in a multi-system environment; thereby facilitating early test adoption in today’s agile world. Multiple applications interacting via APIs have become the norm in a modern bank. With the adoption of API / Open Banking, the divide between internal and client facing systems is also getting blurry. Testing these platforms requires rapidly switching between API’s and the GUI. Comprehensive regression testing in integrated environments ensures you are able to balance agility with prudence.
