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Showing 4 open source projects for "javascript game"
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EHS Software and Management SystemERA Environmental Software Solutions develops web-based EHS management software for small, medium, and large manufacturers needing to comply with federal, provincial, and state regulations, monitor their air, water, and waste emissions and other environmental outputs, author and manage Safety Data Sheets (SDS) in more than 40 languages, or standardize their Health and Safety procedures for incident and inspection tracking, training delivery, and audit management. The platform also supports comprehensive reporting for programs like TRI, Tier II, Title V, NEI, and NPRI. Companies across the automotive, aerospace, general manufacturing, and paints and coatings industries, to name a few, rely on ERA’s all-in-one, SOC 2 Type II certified SaaS for complete coverage of their EHS needs.
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EasySend is a no-code platform that transforms customer journeysEvolve forms into smart, AI-powered digital workflows that streamline your data intake and elevate customer experiences.
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yLife aims to be the Firefox of Yu-Gi-Oh!. Very user-friendly and useful for duellists/players/collectionners of Yu-Gi-Oh! Trading Card Game. It is based on Modules : Card Explorer, Deck Builder,... It is powered by YCD : Yu-Gi-Oh! Card Database.
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A tenpin bowling database which is able to track the statistics of many users with a wide range of granularity. From averages and game scores to detailed pin-fall for each frame.
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phpRPG is a multiplayer role playing game engine driven by PHP and MySQL, with aims to develop a web-based game engine which shares common qualities between multiple user dungeons (MUDs), paper & pen RPGs and computer RPGs.
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Do you know Dungeon And Dragon, if so you will like to participate in this project to build a small game base upon it, A style of MUD (Multi-user Dungeon) base on the rules of DnD 3.5. Video conference and audio will likely be input to help the game.
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Intelligent testing agents | Checksum.aiCoding agents write the code. Checksum runs it—continuously testing against real APIs, real data, real edge cases—before it ever reaches production.
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