Skip to main content

Trajectopy - Trajectory Evaluation in Python

Code style: ruff

Trajectopy is a Python package with an optional graphical user interface for empirical trajectory evaluation.

Trajectopy GUI showing the ATE of a trajectory in the 3D preview
ATE plot over time ATE map plot

Installation

Windows app: download Trajectopy-<version>-setup.exe from the latest release and run it. No Python installation or administrator rights are needed; .traj files can then be opened by double-click, and the app reports new versions (Help → Check for Updates).

Python package (Python 3.10 or newer):

Command Contents
pip install "trajectopy[gui]" Python package and GUI (recommended)
pip install "trajectopy[plot]" Python package with plotting, without the GUI
pip install trajectopy Python package only

Loading large trajectory files (millions of poses) is several times faster with the fast extra, which can be combined with the others: pip install "trajectopy[gui,fast]".

Quick Start

import trajectopy as tpy

reference = tpy.Trajectory.from_file("./example_data/KITTI_gt.traj")
estimate = tpy.Trajectory.from_file("./example_data/KITTI_ORB.traj")

ate_result = tpy.ate(trajectory=estimate, other=reference)  # aligns the estimate first
print(f"Position ATE: {ate_result.pos_ate:.3f} m")

Or start the GUI with trajectopy (or from the Start menu), drop trajectory files onto it, right-click the ground truth → Set as Reference, then right-click another trajectory → Compare with Reference.

Documentation

https://gereon-t.github.io/trajectopy/

Key Features

  • Interactive GUI: Load, plot, align and compare trajectories without writing code. Every action explains itself in the context menus, and trajectories can be aligned interactively if an automatic alignment is not possible.
  • Alignment: A spatio-temporal least squares alignment that can be tailored to the application: similarity transformation, leverarm and time shift, each of them optional.
  • Comparison: Absolute and relative trajectory error (ATE and RPE), computed with various pose-matching methods.
  • Data Import/Export: ASCII files with configurable columns, time formats and coordinate systems (any EPSG code), and ROS bags.
  • Fast, Interactive Visualization: Powered by pyqtgraph, the same plots are available in the GUI and in Python scripts, stay fluid for large trajectories, and can be exported to PNG, JPG or SVG. Georeferenced trajectories and ATE results can be exported to Google Earth, colored by speed, height or deviations, on the terrain or at their own heights, with playback.

Web Application (Docker)

A simple web application is available at gereon-t/trajectopy-web that allows you to use the core functionality of Trajectopy using Docker.

Citation

If you use this library for any academic work, please cite our original paper.

@article{Tombrink2024,
url = {https://doi.org/10.1515/jag-2024-0040},
title = {Spatio-temporal trajectory alignment for trajectory evaluation},
author = {Gereon Tombrink and Ansgar Dreier and Lasse Klingbeil and Heiner Kuhlmann},
journal = {Journal of Applied Geodesy},
doi = {doi:10.1515/jag-2024-0040},
year = {2024},
codeurl = {https://github.com/gereon-t/trajectopy},
}

Metadata

Release files for trajectopy 5.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for trajectopy 5.1.3
File Size Uploaded Provenance Actions
trajectopy-5.1.3.tar.gz 3.1 MB Without provenance Details for trajectopy-5.1.3.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for trajectopy 5.1.3
File Interpreter ABI Platform Actions
trajectopy-5.1.3-py3-none-any.whl Python 3 none any Details for trajectopy-5.1.3-py3-none-any.whl

Total release size: 3.6 MB

Release files / trajectopy-5.1.3.tar.gz

Download URL trajectopy-5.1.3.tar.gz
Size 3.1 MB
Tags Source
SHA-256 checksum
How to use checksums
87143e101ab8314eddee6be91bc18341664df2ac7f2794ad242258d03b517e30
BLAKE2b-256 checksum
How to use checksums
062f09ed7b8894c0e7b5cea74d3a50ae0401f3947d2a341d5884694ab0858a63
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":null,"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Release files / trajectopy-5.1.3-py3-none-any.whl

Download URL trajectopy-5.1.3-py3-none-any.whl
Size 448.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e34edb4af09c55f59e027682ecb640f96649089176b0a23c9535a759ae8d38e0
BLAKE2b-256 checksum
How to use checksums
2d845cb3e01aa9ccf56a860e4c54fce092478125005cd6121288c4ab928615f8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.11.6 {"installer":{"name":"uv","version":"0.11.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":null,"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

Security for trajectopy 5.1.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

5.1.3 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page