| Name | pygixml JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | Python wrapper for pugixml using Cython - Please star the project on GitHub to use! |
| upload_time | 2025-10-09 11:54:24 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | MIT |
| keywords |
xml
pugixml
cython
wrapper
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# pygixml
[](https://www.python.org/)
[](https://opensource.org/licenses/MIT)
[](https://github.com/MohammadRaziei/pygixml/actions)
[](https://github.com/MohammadRaziei/pygixml)
A high-performance Python wrapper for [pugixml](https://pugixml.org/) using Cython, providing fast XML parsing and manipulation capabilities.
## 🚀 Performance
pygixml delivers exceptional performance compared to other XML libraries:
### Performance Comparison (5000 XML elements)
| Library | Parsing Time | Speedup vs ElementTree |
|---------|--------------|------------------------|
| **pygixml** | 0.00077s | **15.9x faster** |
| **lxml** | 0.00407s | 3.0x faster |
| **ElementTree** | 0.01220s | 1.0x (baseline) |
### Key Performance Highlights
- **15.9x faster** than Python's ElementTree for XML parsing
- **5.3x faster** than lxml for XML parsing
- **Memory efficient** - uses pugixml's optimized C++ memory management
- **Scalable performance** - maintains speed advantage across different XML sizes
## Installation
### From Pypi repositoey
```bash
pip install pygixml
```
### From Source
```bash
git clone --recurse-submodules https://github.com/MohammadRaziei/pygixml.git
pip install ./pygixml
```
### Development Installation
```bash
pip install ./pygixml[test]
```
## Quick SWtart
```python
import pygixml
# Parse XML from string
xml_string = """
<library>
<book id="1">
<title>The Great Gatsby</title>
<author>F. Scott Fitzgerald</author>
<year>1925</year>
</book>
</library>
"""
doc = pygixml.parse_string(xml_string)
root = doc.first_child()
# Access elements
book = root.first_child()
title = book.child("title")
print(f"Title: {title.child_value()}") # Output: Title: The Great Gatsby
# Create new XML
doc = pygixml.XMLDocument()
root = doc.append_child("catalog")
product = root.append_child("product")
product.append_child("name").set_value("Laptop")
product.append_child("price").set_value("999.99")
# Save to file
doc.save_file("output.xml")
```
## API Overview
### Core Classes
- **XMLDocument**: Create, parse, save XML documents
- **XMLNode**: Navigate and manipulate XML nodes
- **XMLAttribute**: Handle XML attributes
### Key Methods
- `parse_string(xml_string)` - Parse XML from string
- `parse_file(file_path)` - Parse XML from file
- `save_file(file_path)` - Save XML to file
- `append_child(name)` - Add child node
- `child(name)` - Get child by name
- `child_value()` - Get node value
- `attribute(name)` - Get attribute
## Benchmarks
Run performance comparisons:
```bash
# Run complete benchmark suite
python benchmarks/clean_visualization.py
# View results
cat benchmarks/results/benchmark_results.csv
```
The benchmark suite compares pygixml against:
- **lxml** - Industry-standard C-based parser
- **xml.etree.ElementTree** - Python standard library
**Benchmark Files:**
- `benchmarks/clean_visualization.py` - Main benchmark runner
- `benchmarks/benchmark_parsing.py` - Core benchmark logic
- `benchmarks/results/` - Generated CSV data and SVG charts
## License
MIT License - see [LICENSE](LICENSE) file for details.
**To use this library, you must star the project on GitHub!**
This helps support the development and shows appreciation for the work. Please star the repository before using the library:
👉 **[Star pygixml on GitHub](https://github.com/MohammadRaziei/pygixml)**
## Acknowledgments
- [pugixml](https://pugixml.org/) - Fast and lightweight C++ XML processing library
- [Cython](https://cython.org/) - C extensions for Python
- [scikit-build](https://scikit-build.readthedocs.io/) - Modern Python build system
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