Search Results for "flow"

...It provides a browser-based editor that makes it easy to wire together flows using the wide range of nodes in the palette that can be deployed to its runtime in a single-click. Node-RED provides a browser-based flow editor that makes it easy to wire together flows using the wide range of nodes in the palette. Flows can be then deployed to the runtime in a single-click. JavaScript functions can be created within the editor using a rich text editor. A built-in library allows you to save useful functions, templates or flows for re-use. The light-weight runtime is built on Node.js, taking full advantage of its event-driven, non-blocking model. ...

A general-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.

Learn Go is a learning-focused repository built to teach Go from first principles through more advanced language and ecosystem features. It takes a course-like approach, starting with environment setup and the “Hello world” basics, then moving into variables, types, formatting, control flow, and functions. From there, it expands into Go’s practical structure for real projects, including modules, packages, and workspaces, plus useful commands for building and working with programs. The content is designed to make Go’s priorities tangible: simplicity, reliability, and efficiency, while still giving you enough depth to write idiomatic code. ...

...It eliminates many common language features (e.g., ternary operators) in favour of a consistent, minimal syntax: for example it uses only switch statements for control flow and has only one comparison operator. OK? also treats errors as plain values (strings/arrays) and removes inheritance in favour of what it calls “evolution over composition.” The language emphasises readability and pushing logic out into functions so cases remain simple. It includes concurrency via a map function that executes callbacks in parallel. ...

Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing.

...It emphasizes minimal, CoffeeScript-style syntax so template authors can write small, elegant templates that integrate naturally with CoffeeScript codebases. The engine supports common templating needs—embedding variables, simple control flow, partials/includes, and basic layout patterns—while focusing on clean, compact syntax rather than a huge feature surface. Because it targets CoffeeScript users, CoffeeKup often appeals to projects that prefer that language’s terse style and want templates that look like the rest of their code. The project includes examples and installation instructions for integrating templates into server-side rendering pipelines and simple static site workflows.