svg-matrix 1.3.6

Python wrapper for svg-matrix - arbitrary-precision SVG optimization, validation, and manipulation

svg-matrix (Python)

Python wrapper for svg-matrix - arbitrary-precision SVG optimization, validation, and manipulation.

Installation

pip install svg-matrix

Prerequisites: Requires Bun (recommended) or Node.js installed on your system. The package will attempt to auto-install Bun if neither is found.

# Install Bun (recommended, faster)
curl -fsSL https://bun.sh/install | bash

# Or use Node.js
# https://nodejs.org/

Quick Start

from svg_matrix import validate_svg, optimize_svg, to_plain_svg

# Validate an SVG file
result = validate_svg("icon.svg")
if result["valid"]:
    print("SVG is valid!")
else:
    for issue in result["issues"]:
        print(f"Issue: {issue['reason']}")

# Optimize an SVG file
optimize_svg("large.svg", "small.svg", precision=4)

# Convert Inkscape SVG to plain SVG
to_plain_svg("inkscape_drawing.svg", "plain.svg")

Features

Validation

from svg_matrix import validate_svg, validate_svg_async

# Synchronous validation
result = validate_svg("file.svg")
# Returns: {"valid": bool, "issues": list, "error": str|None}

# Async validation
import asyncio
result = await validate_svg_async("file.svg")

# Validate SVG string content
result = validate_svg('<svg xmlns="http://www.w3.org/2000/svg">...</svg>')

Optimization

from svg_matrix import optimize_svg, optimize_paths

# Full optimization
optimize_svg("input.svg", "output.svg",
    precision=6,        # Decimal precision (default: 6)
    minify=True,        # Minify output
    remove_comments=True,
    remove_metadata=True
)

# Path-only optimization (lighter)
optimize_paths("input.svg", "output.svg", precision=4)

Conversion

from svg_matrix import to_plain_svg, flatten, convert_shapes

# Remove Inkscape namespaces
to_plain_svg("inkscape.svg", "plain.svg")

# Flatten transforms, groups, clipPaths
flatten("complex.svg", "flat.svg",
    flatten_transforms=True,
    flatten_groups=True,
    flatten_clipaths=True
)

# Convert shapes to paths
convert_shapes("shapes.svg", "paths.svg")

Direct CLI Access

from svg_matrix import run_svgm, run_svg_matrix, get_info

# Run svgm with any arguments
result = run_svgm(["input.svg", "-o", "output.svg", "-p", "4"])
print(result["stdout"])

# Run svg-matrix commands
result = run_svg_matrix(["info", "file.svg"])

# Get SVG info
info = get_info("file.svg")
print(f"Width: {info.get('width')}, Height: {info.get('height')}")

CLI Commands

The package installs Python wrapper commands:

# Optimize SVG
svgm-py input.svg -o output.svg -p 4

# Get SVG info
svg-matrix-py info input.svg

# Lint SVG
svglinter-py input.svg

# Font operations
svgfonts-py embed input.svg -o output.svg

Batch Processing

from pathlib import Path
from svg_matrix import validate_svg, optimize_svg

# Process all SVGs in a directory
svg_dir = Path("./svgs")
output_dir = Path("./optimized")
output_dir.mkdir(exist_ok=True)

for svg_file in svg_dir.glob("*.svg"):
    result = validate_svg(svg_file)
    if result["valid"]:
        optimize_svg(svg_file, output_dir / svg_file.name)
        print(f"Optimized: {svg_file.name}")
    else:
        print(f"Skipped (invalid): {svg_file.name}")

API Reference

Validation Functions

Function	Description
validate_svg(svg_input, strict=False)	Validate SVG file or string
validate_svg_async(svg_input, strict=False)	Async validation

Optimization Functions

Function	Description
optimize_svg(input, output, ...)	Full SVG optimization
optimize_paths(input, output, precision)	Path-only optimization

Conversion Functions

Function	Description
to_plain_svg(input, output)	Remove Inkscape namespaces
flatten(input, output, ...)	Flatten transforms/groups
convert_shapes(input, output)	Convert shapes to paths

CLI Functions

Function	Description
run_svgm(args, timeout)	Run svgm CLI
run_svg_matrix(args, timeout)	Run svg-matrix CLI
get_info(svg_path)	Get SVG file info

How It Works

This package is a thin Python wrapper around the @emasoft/svg-matrix npm package. It uses bunx (or npx as fallback) to execute the Node.js CLI tools.

Advantages:

• Always uses the latest svg-matrix version
• Minimal Python package size (~20KB)
• Full feature parity with the Node.js library

Requirements:

• Bun or Node.js must be installed
• First run may take a few seconds to download the npm package

License

MIT License - see LICENSE

Links

• GitHub Repository
• npm Package
• Issue Tracker