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MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing about 200 machine learning models written in Julia and other languages. The functionality of MLJ is distributed over several repositories illustrated in the dependency chart below. These repositories live at the JuliaAI umbrella organization.

Neiki's Charts is a lightweight SVG chart library built as a native Web Component. Drop a single script tag into any HTML page and get four chart types — Line, Bar, Pie, and Scatter — with no build step, no framework, and zero dependencies. CSS is bundled automatically, so one file is all you need. The component uses Shadow DOM for style encapsulation and fits cleanly into any project without CSS conflicts.

Webiness is lightweight PHP framework based on MVC design pattern. It has a very straightforward installation process that requires only a minimal configuration, so it can save you a lot of hassle. Also, it canbe an ideal choice if you want to avoid PHP version conflict, as it works on all PHP versions from 5.3. Webiness extensively uses the lazy loading technique so, in most cases, it is faster then other frameworks. It can be used for rapid prototyping of web applications. Webiness is...