Interesting Snippets from 2017-08-30

• GraphicsJS | AnyChart

  A lightweight JavaScript graphics library with the intuitive API, based on SVG/VML technology.

• Ten Things A Serious JavaScript Developer Should Learn | benmccormick.org

  JavaScript is not a very complicated language at its core. It can seem difficult to learn because of all of the noise around it. Browser APIs, Library APIs, jQuery, React, TypeScript, the many npm packages out there, etc all can make the language syntax space seem huge.

• Moon

  Moon is a minimal, blazing fast library for building user interfaces. It combines the positive aspects of popular libraries into one small package. It's super lightweight, and includes advanced optimizations to ensure fast render times. The API is small and intuitive, while still remaining powerful.

• D3 in Depth

  D3 in Depth aims to bridge the gap between introductory tutorials/books and the official documentation.

• Britecharts - D3.js based charting library of reusable components

  Britecharts is a client-side reusable Charting Library based on D3.js v4 that allows easy and intuitive use of charts and components that can be composed together creating amazing visualizations.

• GitHub - ai/nanoid: A tiny, secure URL-friendly unique string ID generator for JavaScript

  It uses cryptographically strong random APIs and guarantees a proper distribution of symbols.

• GitHub - jarulraj/sqlcheck: Automatically identify anti-patterns in SQL queries

  SQLCheck automates the detection of common anti-patterns in SQL queries. Such anti-patterns often increase the time taken to run the queries on a database management system. Addressing these anti-patterns will, therefore, help improve the runtime performance of the queries. This tool targets all SQL dialects.

• Eventn | Node.js HTTP Microservices for ETL, Analytics & Data Processing

  Build, deploy and scale RESTful services for SQL Analytics & Data Processing

• Run SQL directly on CSV files | Text as Data | q

  q is a command line tool that allows direct execution of SQL-like queries on CSVs/TSVs (and any other tabular text files). q treats ordinary files as database tables, and supports all SQL constructs, such as WHERE, GROUP BY, JOINs etc. It supports automatic column name and column type detection, and provides full support for multiple encodings.

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