Search Results for "validate"
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Showing 19 open source projects for "validate"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Terratest
Go library that makes it easier to write automated tests
...Use Terratest to execute your real IaC tools (e.g., Terraform, Packer, etc.) to deploy real infrastructure (e.g., servers) in a real environment (e.g., AWS). Use the tools built into Terratest to validate that the infrastructure works correctly in that environment by making HTTP requests, API calls, SSH connections, etc. Undeploy everything at the end of the test. Write automated tests for infrastructure code, including the code you write for use with tools such as Terraform, Kubernetes, Docker, and Packer. This code is released under the Apache 2.0 License. -
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Deepchecks
Test Suites for validating ML models & data
...Deepchecks accompany you through various validation and testing needs such as verifying your data’s integrity, inspecting its distributions, validating data splits, evaluating your model and comparing between different models. While you’re in the research phase, and want to validate your data, find potential methodological problems, and/or validate your model and evaluate it. To run a specific single check, all you need to do is import it and then to run it with the required (check-dependent) input parameters. More details about the existing checks and the parameters they can receive can be found in our API Reference. ... -
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Cucumber
Cucumber for Ruby
...Because they can be read by anyone, you can use them to help improve communication, collaboration and trust on your team. This is the Ruby implementation of Cucumber. Cucumber is also available for JavaScript, Java, and a lot of other languages. Validate executable specifications against your code on any modern development stack. 40+ million open source downloads, the #1 tool for BDD. CucumberStudio is the leading collaboration platform for BDD - an easy-to-use tool to define ideas, test code, and learn in production from real-time insight. -
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Webhook.site
Test HTTP webhooks with this handy tool that displays requests
With Webhook.site, you instantly get a unique, random URL that you can use to test and debug Webhooks and HTTP requests, as well as to create your own workflows using the Custom Actions graphical editor or WebhookScript, a simple scripting language, to transform, validate and process HTTP requests. There are two versions of Webhook.site. The completely open-source, MIT-licensed version is available on Github, which can be self-hosted using e.g. Docker, is great for testing Webhooks, but doesn’t include features like Custom Actions. The app was built with Laravel for the API and Angular.js for the frontend SPA. ... -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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Fuzzer Test Suite
Set of tests for fuzzing engines
The Fuzzer Test Suite is a collection of real-world, bug-rich targets used to evaluate and compare fuzzers under controlled conditions. Rather than synthetic micro-benchmarks, it packages build scripts, corpora, and known-crash oracles so fuzzer authors can measure time-to-crash, coverage growth, and stability. Each target is configured to integrate with common sanitizers, ensuring memory safety bugs surface with precise diagnostics. The suite standardizes experiment parameters—runtime,... -
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Linux Test Project
Testsuite to validate the reliability, robustness, stability of Linux.
Linux Test Project (LTP) is a joint project started by SGI, OSDL and Bull developed and maintained by SUSE, Red Hat, Fujitsu, IBM, Cisco, Oracle and others. The project goal is to deliver tests to the open source community that validate reliability, robustness, and stability of the Linux Kernel. The testing suites contain a collection of tools for testing the Linux kernel and related features. Our goal is to improve the Linux kernel and system libraries by bringing test automation. -
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Tevor
Your own mini Travis CI to run tests locally
Trevor is a command-line tool that acts like a mini local Travis CI, running your test matrix on your machine using the configuration from your .travis.yml file. Instead of pushing code to a CI service just to see if tests pass on multiple Node.js versions, you run Trevor locally and it will iterate through each specified version. Under the hood it orchestrates Node.js version switching (via n/nvm or Docker setups) and executes the configured test script as Travis would. This allows you to... -
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Node.js chaos monkey
Extremly naughty chaos monkey for Node.js
node-chaos-monkey brings chaos engineering to Node.js by injecting controlled failures into running services to validate resilience. It lets teams rehearse real-world incidents—latency spikes, random process exits, resource exhaustion—and observe how circuits, retries, and backoff strategies behave. The tool is designed to be safe and configurable, enabling narrow blast radii and scheduled experiments during non-critical windows. It integrates naturally with staging or even carefully guarded production environments where you want confidence instead of assumptions. ... -
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Nodeunit
Easy unit testing in node.js and the browser
...The framework provides basic assertion methods and test runners that can execute tests sequentially or asynchronously. Nodeunit supports both synchronous and asynchronous tests, enabling developers to validate code that relies on callbacks or promises. It also includes features for grouping tests into modules and organizing test suites for better structure and readability. The output is designed to be clear and informative, helping developers quickly identify failing tests and debug issues. -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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sentinela
Visual regression test with Sentinela and webdriver
What is sentinela? With the sentinela it´s possible can perform visual regression test quickly and efficiently. Sentinela make prints from window browser, manager baseline a makes comparisons of test results. -
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sentinelaAPI
Visual regression test with Sentinela API + WebDriver
Visual regression test with Sentinela API + WebDriver A simple API that combined with WebDriver can perform visual regression test quickly and efficiently. Sentinela API - Gen prints from window browser, manager baseline and makes a comparison of results Sentinela API it is written in Java. How API work? 1 - Import Sentinela API in your project. 2 - Mark some points where Sentinela API will perform the tests. 3 - Run your project as usual. 4 - Every time point is reached... -
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Diffy
Find potential bugs in your services with Diffy
Diffy is a traffic-shadowing and response-diffing tool that helps you validate a new version of a service against a trusted baseline before a full cutover. It acts as a proxy that fans out real production requests to three backends: the current “primary,” a “candidate” (new build), and a “shadow” baseline, then compares responses to detect behavioral differences. By using live traffic rather than synthetic tests, Diffy surfaces edge cases and data-dependent discrepancies that unit tests often miss. ... -
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Extending SoapUI
A collection of plugins for SoapUI and SoapUI Pro
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Quality-Check
Quality-Check is a small Java library for basic runtime checks of vars
...The package quality-check tries to replace these libraries and provide all the basic code quality checks you need. The checks provided here are typically used to validate method parameters and detect errors during runtime. To detect errors before runtime we use JSR-305 Annotations. With these annotations you are able to detect possible bugs earlier. For more informations look at FindBugs™ JSR-305 support. We noticed that many projects just copy org.springframework.util.Assert or com.google.common.base.Preconditions to get access to these quality checks. ... -
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VaMoLa Validator is a tool to validate accessibility according to Italian Law - based on AChecker
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XML validating & querying tool
Comman-line interface XML validating & querying tool
The program processes the given source XML file according to command-line arguments. It can validate the file (with -x or -d option) or query XPath expression (with -p option). Usage: java -jar clivaq.jar -- shows the help screen java -jar clivaq.jar -d <file.dtd> <file.xml> -- validates the <file.xml> java -jar clivaq.jar -x <file.xsd> <file.xml> -- validates the <file.xml> java -jar clivaq.jar -p "<XPath expression>" <file.xml> -- evaluates an XPath expression -
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Java EE Two-Phase Commit Testkit
A Portable Thin Client & Server Pair for XA / 2PC Testing
A portable testing tool to validate the configuration of XA and two-phase commit for Java EE 6 Containers. The tool permits the stress-testing, performance characterization and correct transaction semantics of distributed transactions across Three XA resource managers by Exception Injection. The thin-client can be run from the command-line or inside the IDE. The server side component includes EJB packaging and some simple Web servlet support for retrieving diagnostic and performance data from the testbed. -
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With dp4j.jar in your project classpath you directly access private members in your tests, w/o Reflection API boilerplate code; It also generates Design Patterns code and compile-time validates implementations. And Compiler & Co work for you again!
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experior
A minimalist, powerful, language-agnostic unit/regression test tool
Experior doesn't care what language your test program is written in. All it cares about is that each test's output begins and ends with a simple line of JSON. Your test program can validate its own output, in which case Experior just acts as a report engine. Alternatively -- or additionally -- you can write validation functions in JavaScript, and Experior will run them against the test output. Finally, Experior can compare your current test output against a copy of previous test output and alert you to regressions.
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