Search Results for "lua"
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Showing 4 open source projects for "lua"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Powerful Business Process AutomationWhen a message is received ThinkAutomation automatically executes one or more Automations. Automations are created using an easy to use drag-and-drop interface to run simple or complex tasks. Automations can perform many business process Actions, including: updating company databases, CRM systems and cloud services, sending outgoing emails, Teams & SMS messages, document processing, custom scripting, integration and much more. Over 100 built-in actions are included, plus ThinkAutomation is extensible with Custom Actions.
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unluac
A decompiler for Lua 5.x
unluac is a decompiler for Lua 5.0 through 5.4. It runs on Lua chunks that have been compiled with the standard Lua compiler. It requires that debugging information has not been stripped from the chunk. (By default, the Lua compiler includes this debugging information.) This program is written in Java. A JAR package is available in the downloads section so you don't have to compile it. -
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Clue is an experimental C compiler that generates code for high-level dynamic languages such as Lua, Javascript, Perl5 and Common Lisp, as well as non-dynamic languages like C and Java. It supports the complete ANSI standard, including pointer arithmetic
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This project is the port of Lua programming language to Java platform. It contains the bytecode compiler and interpreter, that use the same bytecode format as the original version, and partially support standard Lua library.
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Your go-to FinOps platformUnlike reporting-only FinOps tools, FinOpsly unifies cloud (AWS, Azure, GCP), data (Snowflake, Databricks, BigQuery), and AI costs into a single system of action — enabling teams to plan spend before it happens, automate optimization safely, and prove value in weeks, not quarters.
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