trx-python

A Python implementation of the TRX file format for tractography data.

For details, please visit the documentation.

Installation

From PyPI

pip install trx-python

From Source

git clone https://github.com/tee-ar-ex/trx-python.git
cd trx-python
pip install .

Quick Start

Loading and Saving Tractograms

from trx.io import load, save

# Load a tractogram (supports .trx, .trk, .tck, .vtk, .fib, .dpy)
trx = load("tractogram.trx")

# Save to a different format
save(trx, "output.trk")

Command-Line Interface

TRX-Python provides a unified CLI (tff) for common operations:

# Show all available commands
tff --help

# Convert between formats
tff convert input.trk output.trx

# Concatenate tractograms
tff concatenate tract1.trx tract2.trx merged.trx

# Validate a TRX file
tff validate data.trx

Individual commands are also available for backward compatibility:

tff_convert_tractogram input.trk output.trx
tff_concatenate_tractograms tract1.trx tract2.trx merged.trx
tff_validate_trx data.trx

Development

We use spin for development workflow.

First-Time Setup

# Clone the repository (or your fork)
git clone https://github.com/tee-ar-ex/trx-python.git
cd trx-python

# Install with all dependencies
pip install -e ".[all]"

# Set up development environment (fetches upstream tags)
spin setup

Common Commands

spin setup      # Set up development environment
spin install    # Install in editable mode
spin test       # Run all tests
spin test -m memmap  # Run tests matching pattern
spin lint       # Run linting (ruff)
spin lint --fix # Auto-fix linting issues
spin docs       # Build documentation
spin clean      # Clean temporary files

Run spin without arguments to see all available commands.

Code Quality

We use ruff for linting and formatting:

# Check for issues
spin lint

# Auto-fix issues
spin lint --fix

# Format code
ruff format .

Pre-commit Hooks

# Install hooks
pre-commit install

# Run on all files
pre-commit run --all-files

Temporary Directory

The TRX file format uses memory-mapped files to limit RAM usage. When dealing with large files, several gigabytes may be required on disk.

By default, temporary files are stored in:

• Linux/macOS: /tmp
• Windows: C:\WINDOWS\Temp

To change the directory:

# Use a specific directory (must exist)
export TRX_TMPDIR=/path/to/tmp

# Use current working directory
export TRX_TMPDIR=use_working_dir

Temporary folders are automatically cleaned, but if the code crashes unexpectedly, ensure folders are deleted manually.

Documentation

Full documentation is available at https://tee-ar-ex.github.io/trx-python/

To build locally:

spin docs --open

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

BSD License - see LICENSE for details.