Open Source PHP Source Code Analysis Tools
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PHP Source Code Analysis Tools
View 5661 business solutionsBrowse free open source PHP Source Code Analysis Tools and projects below. Use the toggles on the left to filter open source PHP Source Code Analysis Tools by OS, license, language, programming language, and project status.
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Powering the best of the internet | FastlyEnsure your websites, applications and services can effortlessly handle the demands of your users with Fastly. Fastly’s portfolio is designed to be highly performant, personalized and secure while seamlessly scaling to support your growth.
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Hexjector is an Opensource,Cross Platform PHP script to automate Site Pentest for SQL Injection Vulnerabilties.
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This anonymous emailer script written in PHP is a free, opensource project designed to send EMails from anyone to anyone, with additional details such as Reply-To ,an anti-spam CAPTCHA and a WYSIWYG.
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VaMoLa Validator is a tool to validate accessibility according to Italian Law - based on AChecker
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MongoDB 8.0 on Atlas | Run anywhereMongoDB 8.0 brings enhanced performance and flexibility to Atlas—with expanded availability across 125+ regions globally. Build modern apps anywhere your users are, with the power of a modern database behind you.
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Scertify - TechDebt Community
Benchmark code quality and measure Technical Debt of projects in Sonar
Scertify™ Refactoring Assessment is an open source component dedicated to development & QA teams that provides exclusive benchmark data on Software Quality. It automatically detects the portions of an application that can be refactored, gives valuable information on refactoring strategies, and costs. Though IT departments have matured these last 10 years and have now no doubt on the benefits of a continuous control of code quality, three major concerns were still remaining, without any tools able to effectively addressing these needs: * How to understand quality indicators, and how to compare them with the state of the art? * How to measure and manage the gap between the absolute quality level of a software, and a reasonable (reachable) target of quality? * What are the shortest and safe ways to achieve your quality goals?
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