https://github.com/magnexis/code-playground

MGL — A Visual + Code-Based Data Processing Platform
https://github.com/magnexis/code-playground

dockerfile news playground-project programming-language release

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MGL — A Visual + Code-Based Data Processing Platform

• Host: GitHub
• URL: https://github.com/magnexis/code-playground
• Owner: magnexis
• License: mit
• Created: 2026-04-09T21:15:57.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2026-04-09T21:16:08.000Z (3 months ago)
• Last Synced: 2026-06-13T00:23:16.343Z (13 days ago)
• Topics: dockerfile, news, playground-project, programming-language, release
• Language: Dockerfile
• Homepage:
• Size: 11.7 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Security: SECURITY.md

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README

          
# MGL — Magnificent Language

### A Visual + Code-Based Data Processing Platform

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)

[![Version](https://img.shields.io/badge/version-1.0.0-green.svg)](CHANGELOG.md)

[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](CONTRIBUTING.md)

## What is MGL?

**MGL (Magnificent Language)** is an open-source, web-based data processing platform that lets you write, visualize, and execute data pipelines in your browser — no setup required.

It combines a **custom scripting language**, a **visual pipeline builder**, a **real-time execution engine**, and an **interactive data inspector**.

## Quick Start

```bash

git clone https://github.com/theworker02/mgl

cd mgl

npm install

npm run dev

```

## Features

- 🖊️ MGL Scripting Language (SQL-inspired DSL)

- 🔀 Visual Pipeline Builder (drag-and-drop)

- ⚡ Real-Time Execution (browser-side)

- 📊 Live Pipeline DAG with timing

- 🔍 Data Inspector (schema, stats, table)

- 🗂️ Multi-File Projects with auto-save

- 🐛 Debug Mode (step-through execution)

- 📈 Performance Panel

- 🔌 Plugin System

## Example

```mgl

data = read("users.csv")

adults = data.filter(age > 18)

adults.sort(name).write("adults.csv")

```

## License

[MIT](LICENSE) © 2024 MGL Contributors