Search Results for "java-orm"
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Showing 4 open source projects for "java-orm"
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Premier Construction SoftwareRated #1 Construction Accounting Software by Forbes Advisor in 2022 & 2023. Our modern SAAS solution is designed to meet the needs of General Contractors, Developers/Owners, Homebuilders & Specialty Contractors.
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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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phpMyBitTorrent: BitTorrent Tracker written in PHP. Features include: hosting torrents from remote trackers, DHT, Compact Announce, alternate links (eD2K, Magnet), HTTP-Basic Authentication, Passkey Authentication, embedded HTML Editor, Mass-upload of to
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ZenTracker is a next-gen BitTorrent tracker. Uses Symfony PHP framework, CSS3, AJAX, ORM, MVC, etc.
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Taurrent is a BitTorrent client/tracker, implemented in Java, aiming to be lightweight. Taurrent's main perk is that it can be used as a new innovative way to use for code distribution and version control, within an organization or over the internet.
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CatBot is a proposed open source system for easy distribution of large files using peer-to-peer technology. CatBot is also known as the South West Creative Archive (SWCA).
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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