Sloth Pipe is a library for TypeScript and JavaScript designed to facilitate the creation of lazy, chainable, and reusable pipes for data transformation and processing. Borrowing from functional programming paradigms, it offers a convenient and powerful way to compose functions and manage data flow in an application, with an emphasis on lazy evaluation and efficient execution.
- Lazy Evaluation: Computations are only performed when necessary, optimizing performance and resource utilization.
- Chainable API: Enables the creation of fluent and readable code by chaining multiple operations.
- Error Handling: Built-in support for error handling within the pipe.
- Async/Await Compatibility: Seamlessly integrate asynchronous functions into your pipes.
- Tap Operations: Allows side-effects without altering the pipe's main data flow.
- Reusable pipes: Easily reuse pipes, even after execution.
- Extensible: Easily extendable with custom functions and operations.
- Type-Safe: Written in TypeScript, with full support for type inference and type safety.
- Lightweight: Small and lightweight, with no external dependencies.
- Well-Tested: Thoroughly tested with 100% code coverage.
To install Sloth Pipe, use the following command:
bun i sloth-pipe
or
npm install sloth-pipe
Here's a simple example of how to use Sloth Pipe:
import { Pipe } from "sloth-pipe";
const result = Pipe(5)
.to((x) => x * 2)
.to((x) => x + 3)
.exec();
console.log(result); // Outputs: 13
Sloth Pipe seamlessly integrates with asynchronous operations:
const asyncResult = await Pipe(5)
.to(async (x) => x * 2)
.to((x) => x + 3)
.exec();
console.log(asyncResult); // Outputs: 13
Handle errors gracefully within the pipe:
const safeResult = Pipe(5)
.to((x) => {
if (x > 0) throw new Error("Example error");
return x;
})
.catch((err) => 0)
.exec();
console.log(safeResult); // Outputs: 0
The API consists of a few key methods: to
, tap
, exec
, and catch
. For a detailed reference,
please refer to the API documentation.
Any and all contributions are welcome! Open an issue or submit a pull request to contribute.
This project uses Bun for development. To get started, clone the repository and
run bun install
to install dependencies. Then, run bun test
to run the test suite.
To build the project, run bun build
. The output will be in the dist
directory.
This project is licensed under the MIT License.