<p align="center">
<img src="images/logo.svg" alt="MXRay Logo" width="150">
</p>
<h1 align="center">🔍 MXRay</h1>
<p align="center">
<strong>X-ray vision for your Python data structures</strong>
</p>
<p align="center">
<a href="https://pypi.org/project/mxray/">
<img src="https://img.shields.io/pypi/v/mxray.svg" alt="PyPI version">
</a>
<a href="https://pypi.org/project/mxray/">
<img src="https://img.shields.io/pypi/pyversions/mxray.svg" alt="Python versions">
</a>
<a href="https://github.com/GxDrogers/mxray/blob/main/LICENSE">
<img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License">
</a>
<a href="https://github.com/GxDrogers/mxray/stargazers">
<img src="https://img.shields.io/github/stars/GxDrogers/mxray.svg" alt="GitHub stars">
</a>
</p>
<p align="center">
<i>See through complex nested data structures with beautiful ASCII mind maps and trees</i>
</p>
---
## 🚀 Quick Install
```bash
pip install mxray
## 💡 Instant Insight
from mxray import xray
data = {
'project': 'MXRay',
'creator': 'Midhun Haridas',
'features': ['smart_icons', 'multiple_styles', 'exporters'],
'config': {
'debug': True,
'max_depth': 5
}
}
xray(data)
## 📊 Output
📦 root
├── 🚀 project: 'MXRay'
├── 👨💻 creator: 'Midhun Haridas'
├── ✨ features
│ ├── 🧠 smart_icons
│ ├── 🎨 multiple_styles
│ └── 💾 exporters
└── ⚙️ config
├── 🐛 debug: True
└── 📏 max_depth: 5
## 📖 Table of Contents
Why MXRay?
Quick Start
Core Features
Usage Examples
Advanced Features
Command Line Interface
API Reference
Installation
Contributing
License
Support
## ❓ Why MXRay?
### The Problem
import json
print(json.dumps(complex_data, indent=2))
# Output: Hundreds of lines of nested braces and brackets
# 😵 Hard to understand structure
# 🔍 Difficult to find specific data
# 📏 No visual hierarchy
### The Solution
from mxray import xray
xray(complex_data)
# Output: Beautiful, intuitive ASCII mind map
# 🎯 Instant understanding of data structure
# 🔗 Clear parent-child relationships
# 🎨 Visual hierarchy with smart icons
## 🏁 Quick Start
### Basic Usage
from mxray import xray
# One-liner magic
xray(your_data)
# Or with more control
from mxray import MindMap
mind_map = MindMap(your_data)
print(mind_map)
### From Various Sources
from mxray import MindMapFactory
# From JSON string
mind_map = MindMapFactory.from_json('{"name": "Midhun", "project": "MXRay"}')
# From file
mind_map = MindMapFactory.from_file('data.json')
# From URL
mind_map = MindMapFactory.from_url('https://api.github.com/users/MidhunHaridas')
# From API response
import requests
response = requests.get('https://api.example.com/data')
xray(response.json())
## ✨ Core Features
### 🎨 Multiple Visualization Styles
from mxray import Styles
data = {'api': {'users': [], 'settings': {}}}
xray(data, style=Styles.TREE) # Default tree style
xray(data, style=Styles.MINIMAL) # Clean minimal style
xray(data, style=Styles.ARROW) # Arrow connectors
xray(data, style=Styles.BOXED) # Boxed sections
### 🔍 Smart Search & Highlight
from mxray import MindMap
mind_map = MindMap(complex_data)
mind_map.search("Midhun") # Highlights all occurrences
print(mind_map)
## 📊 Data Type & Memory Insights
xray(data, show_types=True, show_memory=True)
### Output
📦 root (dict) [240 bytes]
├── 👤 user (dict) [48 bytes]
│ ├── 📛 name: 'Midhun' (str) [54 bytes]
│ └── 🔢 age: 25 (int) [28 bytes]
## 🎭 Beautiful Themes
from mxray import Themes
xray(data, theme=Themes.PROFESSIONAL) # Clean business icons
xray(data, theme=Themes.COLORFUL) # Vibrant colorful icons
xray(data, theme=Themes.EMOJI) # Fun emoji icons (default)
## 💾 Multiple Export Formats
from mxray import save_mind_map
mind_map = MindMap(data)
save_mind_map(mind_map, "structure.md") # Markdown
save_mind_map(mind_map, "structure.html") # Interactive HTML
save_mind_map(mind_map, "structure.json") # JSON structure
## 🛠️ Usage Examples
### API Response Analysis
import requests
from mxray import xray
# Analyze GitHub API response
response = requests.get('https://api.github.com/users/MidhunHaridas')
xray(response.json(), show_types=True)
### Configuration File Inspection
import yaml
from mxray import xray
with open('config.yaml') as f:
config = yaml.safe_load(f)
xray(config, style="minimal", show_memory=True)
### Database Schema Visualization
from mxray import xray
from my_app import models
# Visualize Django model structure
xray(models.User.__dict__)
### Real-time Data Monitoring
from mxray import MindMap
import time
class DataMonitor:
def __init__(self):
self.previous_map = None
def monitor(self, data_source):
while True:
current_data = data_source.get_data()
current_map = MindMap(current_data)
if current_map != self.previous_map:
print("\033[2J\033[H") # Clear terminal
print(current_map)
self.previous_map = current_map
time.sleep(1)
## 🔬 Advanced Features
### Focus on Specific Paths
# Zoom into specific data branches
xray(complex_data).focus_on("users[0].profile.settings")
### Custom Filtering
from mxray import MindMap
mind_map = MindMap(data)
# Show only nodes with string values
filtered = mind_map.filter(lambda node: isinstance(node.value, str))
# Show only nodes with more than 2 children
complex_nodes = mind_map.filter(lambda node: len(node.children) > 2)
### Custom Themes
custom_theme = {
"name": "midhun_theme",
"icons": {
"user": "👨💻",
"email": "📨",
"api_key": "🔑",
"created_at": "🕒",
"dict": "🗂️",
"list": "📜"
}
}
xray(data, theme=custom_theme)
### Interactive Exploration
from mxray import MindMap
# Explore large data structures interactively
mind_map = MindMap(huge_json_data)
mind_map.explore() # Opens interactive terminal browser
## Command Line Interface
### Basic Usage
# From JSON file
mxray data.json
# From URL
mxray https://api.github.com/users/MidhunHaridas
# From JSON string
mxray '{"name": "Midhun", "project": "MXRay"}'
# From stdin
echo '{"test": "data"}' | mxray
### Advanced CLI Options
# Different visualization styles
mxray data.json --style minimal
mxray data.json --style arrow
# Show additional information
mxray data.json --show-types --show-memory
# Search and highlight
mxray data.json --search "Midhun"
# Custom theme
mxray data.json --theme professional
# Export to file
mxray data.json --output structure.html --format html
mxray data.json --output structure.md --format md
### Full CLI Reference
mxray --help
usage: mxray [-h] [--style {tree,minimal,arrow,boxed}]
[--theme {default,professional,colorful,emoji}]
[--output OUTPUT] [--format {txt,md,html,json}]
[--search SEARCH] [--show-types] [--show-memory] [--no-icons]
[input]
X-ray data structures as ASCII mind maps
positional arguments:
input Input file, URL, or JSON string
options:
-h, --help show this help message and exit
--style {tree,minimal,arrow,boxed}
Visualization style
--theme {default,professional,colorful,emoji}
Icon theme
--output OUTPUT, -o OUTPUT
Output file
--format {txt,md,html,json}
Output format
--search SEARCH, -s SEARCH
Search and highlight text
--show-types Show data types
--show-memory Show memory usage
--no-icons Hide icons
## 📚 API Reference
Main Functions
xray(data, **kwargs)
The main one-liner function for instant visualization.
Parameters:
data: Any Python data structure (dict, list, etc.)
style: Visualization style ('tree', 'minimal', 'arrow', 'boxed')
show_icons: Boolean to enable/disable icons (default: True)
show_types: Boolean to show data types (default: False)
show_memory: Boolean to show memory usage (default: False)
theme: Icon theme ('default', 'professional', 'colorful', 'emoji')
max_depth: Maximum depth to visualize (default: None)
MindMap(data, **kwargs)
The main class for advanced usage.
Methods:
.render(): Returns the mind map as string
.search(query): Highlights nodes matching query
.filter(predicate): Filters nodes based on function
.focus_on(path): Zooms into specific data path
.explore(): Interactive exploration (future)
### Factory Methods
MindMapFactory
.from_json(json_str): Create from JSON string
.from_file(file_path): Create from file
.from_url(url): Create from URL (requires requests)
### Export Functions
save_mind_map(mind_map, file_path, format='auto')
Save mind map to various formats.
Formats:
txt: Plain text (default)
md: Markdown with code blocks
html: Interactive HTML
json: JSON structure
## 📦 Installation
### From PyPI (Recommended)
pip install mxray
### From Source
git clone https://github.com/GxDrogers/mxray.git
cd mxray
pip install -e .
### For Development
git clone https://github.com/GxDrogers/mxray.git
cd mxray
pip install -e ".[dev]"
pytest tests/ -v
### Dependencies
Python 3.7+
Optional: requests for URL support
## 🤝 Contributing
We love contributions! Here's how you can help:
Reporting Issues
Check existing issues
Create new issue with detailed description
### Feature Requests
Suggest new features via issues
Discuss implementation approach
### Code Contributions
Fork the repository
Create feature branch: git checkout -b feature/amazing-feature
Commit changes: git commit -m 'Add amazing feature'
Push to branch: git push origin feature/amazing-feature
Open Pull Request
## Development Setup
git clone https://github.com/GxDrogers/mxray.git
cd mxray
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
pip install -e ".[dev]"
pre-commit install
## Running Tests
pytest tests/ -v
pytest tests/ --cov=mxray --cov-report=html
## 📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
## 👨💻 Author
Midhun Haridas
📧 Email: midhunharidas0@gmail.com
💻 GitHub: @GxDrogers
## 🙏 Acknowledgments
Inspiration: Every developer who struggled with complex JSON structures
Testing: Early adopters and contributors
Community: Python packaging and open-source ecosystem
Icons: Twitter Emoji for the beautiful icons
## 📞Support
Documentation: GitHub Wiki
Issues: GitHub Issues
Discussions: GitHub Discussions
Email: midhunharidas0@gmail.com
## 🚀 Ready to X-ray Your Data?
pip install mxray
⭐ Star the repo if you find MXRay useful!
<p align="center"> <i>MXRay - See your data structures, don't just read them</i> </p>
```
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"author": null,
"author_email": "Midhun Haridas <midhunharidas0@gmail.com>",
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"description": "<p align=\"center\">\r\n <img src=\"images/logo.svg\" alt=\"MXRay Logo\" width=\"150\">\r\n</p>\r\n\r\n<h1 align=\"center\">\ud83d\udd0d MXRay</h1>\r\n<p align=\"center\">\r\n <strong>X-ray vision for your Python data structures</strong>\r\n</p>\r\n\r\n<p align=\"center\">\r\n <a href=\"https://pypi.org/project/mxray/\">\r\n <img src=\"https://img.shields.io/pypi/v/mxray.svg\" alt=\"PyPI version\">\r\n </a>\r\n <a href=\"https://pypi.org/project/mxray/\">\r\n <img src=\"https://img.shields.io/pypi/pyversions/mxray.svg\" alt=\"Python versions\">\r\n </a>\r\n <a href=\"https://github.com/GxDrogers/mxray/blob/main/LICENSE\">\r\n <img src=\"https://img.shields.io/badge/License-MIT-yellow.svg\" alt=\"License\">\r\n </a>\r\n <a href=\"https://github.com/GxDrogers/mxray/stargazers\">\r\n <img src=\"https://img.shields.io/github/stars/GxDrogers/mxray.svg\" alt=\"GitHub stars\">\r\n </a>\r\n</p>\r\n\r\n<p align=\"center\">\r\n <i>See through complex nested data structures with beautiful ASCII mind maps and trees</i>\r\n</p>\r\n\r\n---\r\n\r\n## \ud83d\ude80 Quick Install\r\n\r\n ```bash\r\n pip install mxray\r\n\r\n## \ud83d\udca1 Instant Insight\r\n from mxray import xray\r\n \r\n data = {\r\n 'project': 'MXRay',\r\n 'creator': 'Midhun Haridas',\r\n 'features': ['smart_icons', 'multiple_styles', 'exporters'],\r\n 'config': {\r\n 'debug': True,\r\n 'max_depth': 5\r\n }\r\n }\r\n \r\n xray(data)\r\n\r\n## \ud83d\udcca Output\r\n \ud83d\udce6 root\r\n \u251c\u2500\u2500 \ud83d\ude80 project: 'MXRay'\r\n \u251c\u2500\u2500 \ud83d\udc68\ud83d\udcbb creator: 'Midhun Haridas'\r\n \u251c\u2500\u2500 \u2728 features\r\n \u2502 \u251c\u2500\u2500 \ud83e\udde0 smart_icons\r\n \u2502 \u251c\u2500\u2500 \ud83c\udfa8 multiple_styles\r\n \u2502 \u2514\u2500\u2500 \ud83d\udcbe exporters\r\n \u2514\u2500\u2500 \u2699\ufe0f config\r\n \u251c\u2500\u2500 \ud83d\udc1b debug: True\r\n \u2514\u2500\u2500 \ud83d\udccf max_depth: 5\r\n\r\n## \ud83d\udcd6 Table of Contents\r\n Why MXRay?\r\n\r\n Quick Start\r\n\r\n\r\n Core Features\r\n\r\n Usage Examples\r\n\r\n Advanced Features\r\n\r\n Command Line Interface\r\n\r\n API Reference\r\n\r\n Installation\r\n\r\n Contributing\r\n\r\n License\r\n \r\n Support\r\n\r\n## \u2753 Why MXRay?\r\n\r\n### The Problem\r\n import json\r\n print(json.dumps(complex_data, indent=2))\r\n # Output: Hundreds of lines of nested braces and brackets\r\n # \ud83d\ude35 Hard to understand structure\r\n # \ud83d\udd0d Difficult to find specific data\r\n # \ud83d\udccf No visual hierarchy\r\n\r\n### The Solution\r\n from mxray import xray\r\n xray(complex_data)\r\n # Output: Beautiful, intuitive ASCII mind map\r\n # \ud83c\udfaf Instant understanding of data structure\r\n # \ud83d\udd17 Clear parent-child relationships\r\n # \ud83c\udfa8 Visual hierarchy with smart icons\r\n\r\n## \ud83c\udfc1 Quick Start\r\n\r\n### Basic Usage\r\n from mxray import xray\r\n \r\n # One-liner magic\r\n xray(your_data)\r\n \r\n # Or with more control\r\n from mxray import MindMap\r\n mind_map = MindMap(your_data)\r\n print(mind_map)\r\n\r\n### From Various Sources\r\n from mxray import MindMapFactory\r\n \r\n # From JSON string\r\n mind_map = MindMapFactory.from_json('{\"name\": \"Midhun\", \"project\": \"MXRay\"}')\r\n \r\n # From file\r\n mind_map = MindMapFactory.from_file('data.json')\r\n \r\n # From URL\r\n mind_map = MindMapFactory.from_url('https://api.github.com/users/MidhunHaridas')\r\n \r\n # From API response\r\n import requests\r\n response = requests.get('https://api.example.com/data')\r\n xray(response.json())\r\n\r\n## \u2728 Core Features\r\n\r\n### \ud83c\udfa8 Multiple Visualization Styles\r\n from mxray import Styles\r\n \r\n data = {'api': {'users': [], 'settings': {}}}\r\n \r\n xray(data, style=Styles.TREE) # Default tree style\r\n xray(data, style=Styles.MINIMAL) # Clean minimal style\r\n xray(data, style=Styles.ARROW) # Arrow connectors\r\n xray(data, style=Styles.BOXED) # Boxed sections\r\n\r\n### \ud83d\udd0d Smart Search & Highlight\r\n from mxray import MindMap\r\n \r\n mind_map = MindMap(complex_data)\r\n mind_map.search(\"Midhun\") # Highlights all occurrences\r\n print(mind_map)\r\n\r\n## \ud83d\udcca Data Type & Memory Insights\r\n xray(data, show_types=True, show_memory=True) \r\n\r\n### Output\r\n \ud83d\udce6 root (dict) [240 bytes]\r\n \u251c\u2500\u2500 \ud83d\udc64 user (dict) [48 bytes]\r\n \u2502 \u251c\u2500\u2500 \ud83d\udcdb name: 'Midhun' (str) [54 bytes]\r\n \u2502 \u2514\u2500\u2500 \ud83d\udd22 age: 25 (int) [28 bytes]\r\n\r\n## \ud83c\udfad Beautiful Themes\r\n from mxray import Themes\r\n \r\n xray(data, theme=Themes.PROFESSIONAL) # Clean business icons\r\n xray(data, theme=Themes.COLORFUL) # Vibrant colorful icons\r\n xray(data, theme=Themes.EMOJI) # Fun emoji icons (default)\r\n\r\n## \ud83d\udcbe Multiple Export Formats\r\n from mxray import save_mind_map\r\n \r\n mind_map = MindMap(data)\r\n save_mind_map(mind_map, \"structure.md\") # Markdown\r\n save_mind_map(mind_map, \"structure.html\") # Interactive HTML\r\n save_mind_map(mind_map, \"structure.json\") # JSON structure\r\n\r\n\r\n## \ud83d\udee0\ufe0f Usage Examples\r\n\r\n### API Response Analysis\r\n import requests\r\n from mxray import xray\r\n \r\n # Analyze GitHub API response\r\n response = requests.get('https://api.github.com/users/MidhunHaridas')\r\n xray(response.json(), show_types=True)\r\n\r\n### Configuration File Inspection\r\n import yaml\r\n from mxray import xray\r\n \r\n with open('config.yaml') as f:\r\n config = yaml.safe_load(f)\r\n \r\n xray(config, style=\"minimal\", show_memory=True)\r\n\r\n### Database Schema Visualization\r\n from mxray import xray\r\n from my_app import models\r\n \r\n # Visualize Django model structure\r\n xray(models.User.__dict__)\r\n\r\n### Real-time Data Monitoring\r\n from mxray import MindMap\r\n import time\r\n \r\n class DataMonitor:\r\n def __init__(self):\r\n self.previous_map = None\r\n \r\n def monitor(self, data_source):\r\n while True:\r\n current_data = data_source.get_data()\r\n current_map = MindMap(current_data)\r\n \r\n if current_map != self.previous_map:\r\n print(\"\\033[2J\\033[H\") # Clear terminal\r\n print(current_map)\r\n self.previous_map = current_map\r\n \r\n time.sleep(1)\r\n\r\n## \ud83d\udd2c Advanced Features\r\n\r\n### Focus on Specific Paths\r\n # Zoom into specific data branches\r\n xray(complex_data).focus_on(\"users[0].profile.settings\")\r\n\r\n### Custom Filtering\r\n from mxray import MindMap\r\n \r\n mind_map = MindMap(data)\r\n \r\n # Show only nodes with string values\r\n filtered = mind_map.filter(lambda node: isinstance(node.value, str))\r\n \r\n # Show only nodes with more than 2 children\r\n complex_nodes = mind_map.filter(lambda node: len(node.children) > 2)\r\n\r\n### Custom Themes\r\n custom_theme = {\r\n \"name\": \"midhun_theme\",\r\n \"icons\": {\r\n \"user\": \"\ud83d\udc68\ud83d\udcbb\",\r\n \"email\": \"\ud83d\udce8\",\r\n \"api_key\": \"\ud83d\udd11\",\r\n \"created_at\": \"\ud83d\udd52\",\r\n \"dict\": \"\ud83d\uddc2\ufe0f\",\r\n \"list\": \"\ud83d\udcdc\"\r\n }\r\n }\r\n \r\n xray(data, theme=custom_theme)\r\n\r\n### Interactive Exploration\r\n from mxray import MindMap\r\n \r\n # Explore large data structures interactively\r\n mind_map = MindMap(huge_json_data)\r\n mind_map.explore() # Opens interactive terminal browser\r\n\r\n## Command Line Interface\r\n\r\n### Basic Usage\r\n # From JSON file\r\n mxray data.json\r\n \r\n # From URL\r\n mxray https://api.github.com/users/MidhunHaridas\r\n \r\n # From JSON string\r\n mxray '{\"name\": \"Midhun\", \"project\": \"MXRay\"}'\r\n \r\n # From stdin\r\n echo '{\"test\": \"data\"}' | mxray\r\n\r\n### Advanced CLI Options\r\n # Different visualization styles\r\n mxray data.json --style minimal\r\n mxray data.json --style arrow\r\n \r\n # Show additional information\r\n mxray data.json --show-types --show-memory\r\n \r\n # Search and highlight\r\n mxray data.json --search \"Midhun\"\r\n \r\n # Custom theme\r\n mxray data.json --theme professional\r\n \r\n # Export to file\r\n mxray data.json --output structure.html --format html\r\n mxray data.json --output structure.md --format md\r\n\r\n\r\n### Full CLI Reference\r\n mxray --help\r\n \r\n usage: mxray [-h] [--style {tree,minimal,arrow,boxed}] \r\n [--theme {default,professional,colorful,emoji}]\r\n [--output OUTPUT] [--format {txt,md,html,json}] \r\n [--search SEARCH] [--show-types] [--show-memory] [--no-icons]\r\n [input]\r\n \r\n X-ray data structures as ASCII mind maps\r\n \r\n positional arguments:\r\n input Input file, URL, or JSON string\r\n \r\n options:\r\n -h, --help show this help message and exit\r\n --style {tree,minimal,arrow,boxed}\r\n Visualization style\r\n --theme {default,professional,colorful,emoji}\r\n Icon theme\r\n --output OUTPUT, -o OUTPUT\r\n Output file\r\n --format {txt,md,html,json}\r\n Output format\r\n --search SEARCH, -s SEARCH\r\n Search and highlight text\r\n --show-types Show data types\r\n --show-memory Show memory usage\r\n --no-icons Hide icons\r\n\r\n \r\n## \ud83d\udcda API Reference\r\n Main Functions\r\n xray(data, **kwargs)\r\n\r\n The main one-liner function for instant visualization.\r\n\r\n Parameters:\r\n\r\n data: Any Python data structure (dict, list, etc.)\r\n \r\n style: Visualization style ('tree', 'minimal', 'arrow', 'boxed')\r\n \r\n show_icons: Boolean to enable/disable icons (default: True)\r\n \r\n show_types: Boolean to show data types (default: False)\r\n \r\n show_memory: Boolean to show memory usage (default: False)\r\n \r\n theme: Icon theme ('default', 'professional', 'colorful', 'emoji')\r\n \r\n max_depth: Maximum depth to visualize (default: None)\r\n\r\n MindMap(data, **kwargs)\r\n\r\n The main class for advanced usage.\r\n\r\n Methods:\r\n \r\n .render(): Returns the mind map as string\r\n \r\n .search(query): Highlights nodes matching query\r\n \r\n .filter(predicate): Filters nodes based on function\r\n \r\n .focus_on(path): Zooms into specific data path\r\n \r\n .explore(): Interactive exploration (future)\r\n\r\n### Factory Methods\r\n\r\n MindMapFactory\r\n\r\n .from_json(json_str): Create from JSON string\r\n \r\n .from_file(file_path): Create from file\r\n \r\n .from_url(url): Create from URL (requires requests)\r\n\r\n### Export Functions\r\n save_mind_map(mind_map, file_path, format='auto')\r\n \r\n Save mind map to various formats.\r\n\r\nFormats:\r\n\r\n txt: Plain text (default)\r\n \r\n md: Markdown with code blocks\r\n \r\n html: Interactive HTML\r\n \r\n json: JSON structure\r\n\r\n## \ud83d\udce6 Installation\r\n\r\n### From PyPI (Recommended)\r\n pip install mxray\r\n\r\n### From Source\r\n git clone https://github.com/GxDrogers/mxray.git\r\n cd mxray\r\n pip install -e .\r\n\r\n### For Development\r\n git clone https://github.com/GxDrogers/mxray.git\r\n cd mxray\r\n pip install -e \".[dev]\"\r\n pytest tests/ -v\r\n\r\n### Dependencies\r\n Python 3.7+\r\n\r\n Optional: requests for URL support\r\n\r\n## \ud83e\udd1d Contributing\r\n\r\nWe love contributions! Here's how you can help:\r\nReporting Issues\r\n\r\n Check existing issues\r\n\r\n Create new issue with detailed description\r\n\r\n### Feature Requests\r\n\r\n Suggest new features via issues\r\n\r\n Discuss implementation approach\r\n\r\n### Code Contributions\r\n\r\n Fork the repository\r\n\r\n Create feature branch: git checkout -b feature/amazing-feature\r\n\r\n Commit changes: git commit -m 'Add amazing feature'\r\n\r\n Push to branch: git push origin feature/amazing-feature\r\n\r\n Open Pull Request\r\n\r\n## Development Setup\r\n git clone https://github.com/GxDrogers/mxray.git\r\n cd mxray\r\n python -m venv venv\r\n source venv/bin/activate # Windows: venv\\Scripts\\activate\r\n pip install -e \".[dev]\"\r\n pre-commit install\r\n\r\n## Running Tests\r\n pytest tests/ -v\r\n pytest tests/ --cov=mxray --cov-report=html\r\n\r\n## \ud83d\udcc4 License\r\nThis project is licensed under the MIT License - see the LICENSE file for details.\r\n\r\n## \ud83d\udc68\ud83d\udcbb Author\r\n\r\nMidhun Haridas\r\n\r\n\ud83d\udce7 Email: midhunharidas0@gmail.com\r\n\r\n\ud83d\udcbb GitHub: @GxDrogers\r\n\r\n## \ud83d\ude4f Acknowledgments\r\n\r\n Inspiration: Every developer who struggled with complex JSON structures\r\n \r\n Testing: Early adopters and contributors\r\n \r\n Community: Python packaging and open-source ecosystem\r\n \r\n Icons: Twitter Emoji for the beautiful icons\r\n\r\n## \ud83d\udcdeSupport\r\n Documentation: GitHub Wiki\r\n \r\n Issues: GitHub Issues\r\n \r\n Discussions: GitHub Discussions\r\n \r\n Email: midhunharidas0@gmail.com\r\n\r\n## \ud83d\ude80 Ready to X-ray Your Data?\r\n pip install mxray\r\n\r\n\u2b50 Star the repo if you find MXRay useful!\r\n<p align=\"center\"> <i>MXRay - See your data structures, don't just read them</i> </p> \r\n ``` \r\n\r\n",
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