NeoLoad vs. go-fuzz Comparison


NeoLoad Tricentis	go-fuzz dvyukov	+	+
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About 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.	About 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.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Developers	Audience Developers looking for a solution to manage their network protocol fuzzing operations
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing Free Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Tricentis Founded: 2007 United States www.tricentis.com/products/performance-testing-neoload/	Company Information dvyukov github.com/dvyukov/go-fuzz
Alternatives WebLOAD RadView Software	Alternatives LibFuzzer LLVM Project
Appvance Appvance.ai	Honggfuzz Google
BlazeMeter	american fuzzy lop Google
Parasoft	Atheris Google
Eggplant Keysight Technologies View All	ClusterFuzz Google View All
Categories AI Testing Tools API Testing Automated Testing Continuous Testing Functional Testing Load Balancing Load Testing Mobile App Testing Performance Testing Root Cause Analysis Software Testing	Categories Fuzz Testing
Show More Features API Testing Features Functional Testing Fuzz Testing Load Testing Penetration Testing Runtime and Error Detection Security Testing UI Testing Validation Testing Automated Testing Features Hierarchical View Move & Copy Parameterized Testing Requirements-Based Testing Security Testing Supports Parallel Execution Test Script Reviews Unicode Compliance Load Balancing Features Authentication Automatic Configuration Content Caching Content Routing Data Compression Health Monitoring Predefined Protocols Redundancy Checking Reverse Proxy Schedulers SSL Offload Load Testing Features API Load Testing Database Load Testing Load Test Performance Reporting Mail Load Testing Multilocation Load Testing Multiple Protocol Support Test Script Customization Web Application Testing Performance Testing Features API Testing Benchmarking Cross Browser Testing Debugging Historical Reporting Load Testing Mobile Testing Parallel Testing Regression Testing UI Testing Web Testing
Integrations AWS CodeBuild Appium Azure DevOps Bamboo Bitbucket Digital.ai Release Dynatrace Git GitHub Jenkins New Relic Perfecto QF-Test Ranorex Studio SAP Store Splunk AppDynamics Tosca Worksoft Certify qTest Show More Integrations View All 22 Integrations	Integrations AWS CodeBuild Appium Azure DevOps Bamboo Bitbucket Digital.ai Release Dynatrace Git GitHub Jenkins New Relic Perfecto QF-Test Ranorex Studio SAP Store Splunk AppDynamics Tosca Worksoft Certify qTest Show More Integrations
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