Search Results for "pure data"
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Showing 5 open source projects for "pure data"
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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JILRuntime/JewelScript
An object-oriented script language to embed in any application
A general purpose, object-oriented script language that compiles into code for a register based virtual machine. The language is quite similar to object-oriented high-level languages like Java and C#. The library is entirely self-sufficient and ANSI C compliant. It's main purpose is to be embedded in any application to allow automation of that application through scripting. An integrated C++ binding code generator allows you to create bindings for your application's classes in seconds.... -
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"xmlsh" is derived from the design and goals the unix shell and core commands but with XML expressions and documents added as core features to the shell. xmlsh can be used as a drop-in replacement for scripting xml transformations instead of sh.
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sdfl
Simple Data Fix Language
SDFL is a language intended to either be translated into pure SQL regardless of the SGBD, or be interpreted by an interpreter written in Java. -
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idyuts is \"I Dare You to Use This Shell\"; a pre-hibernate approach to replacing an ORM written with jython functors into a pure-Java language command pattern. The \"pipeline codegen artifacts\" are simple IoC templates, and trivial to adapt
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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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DL was designed to be a pure data language, built on very simple constructs, and internally representing typed values rather than depending on external schemas to infer type values.
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