Search Results for "java html parser"
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Showing 4 open source projects for "java html parser"
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Loan management software that makes it easy.Bryt Software is ideal for lending professionals who are looking for a feature rich loan management system that is intuitive and easy to use. We are 100% cloud-based, software as a service. We believe in providing our customers with fair and honest pricing. Our monthly fees are based on your number of users and we have a minimal implementation charge.
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Award-Winning Medical Office Software Designed for Your SpecialtyRXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
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This is a apache v2.0 authentication module. Based on html form authentication and cookie authentication session. Cookie session are stored in memcache deamon. Can be used has an simple "Single Signe-On" (SSO). All the code source and the bug tracking has migrated to github: https://github.com/ZenProjects/Apache-Authmemcookie-Module All the documentation are here: https://zenprojects.github.io/Apache-Authmemcookie-Module/
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PTM is a Perl/HTML hybrid, similar to PHP in tag syntax. It allows for the ease of PHP-style inline code in your dynamic HTML documents while supplying the power of Perl that many find to be sorely lacking in PHP.
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BigApache for Windows is a free Enterprise Ready Server. It is suitable for the semiprofessional use or for the program development of Html / PHP / Mysql / Perl / Python / ASP::Apache or Java projects (JBoss with Tomcat).
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This is a Linux/UNIX server written in JAVA. This server should be able to be fast and easy to modify and document. It should also be fully modular with all the components from HTML viewing to CGI running to be Modules written in JAVA.
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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