Showing 4 open source projects for "spidermonkey"

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  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

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  • Rezku Point of Sale Icon
    Rezku Point of Sale

    Designed for Real-World Restaurant Operations

    Rezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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  • 1
    Server Side Application FrameworX; provides C++ support for threads, serialization, process control, simple XML and database, sockets, javascript (spidermonkey), simple and advanced plugins, I/O and file/directory management, console and other utilities
    Downloads: 0 This Week
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  • 2
    SnowMonkey is a binding library between C++ and SpiderMonkey (Mozilla's implementation of JavaScript engine). The goal of this project is to create library which will take advantage of boost libraries in order to hide as many binding details as possible
    Downloads: 0 This Week
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  • 3
    JavaScript MUD Kernel which allows developers to build MUDs using JavaScript and SQL. Based on SQLite and SpiderMonkey, jsmud provides the core networking, timer, and main loop functions necessary to implement a MUD in JavaScript.
    Downloads: 0 This Week
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  • 4
    Making Mozilla Spidermonkey usable from the Shell or in CGI-Scripts, or...
    Downloads: 0 This Week
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  • Cloud data warehouse to power your data-driven innovation Icon
    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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