Python package for the evaluation of odometry and SLAM

MDAnalysis is a Python library to analyze molecular dynamics simulations.

Movement trajectory classes and functions built on top of GeoPandas

Development version of plumed 2

Python interface of cpptraj

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.

KSP Trajectory Optimization Tool

Python tools for spatial trajectory and time-series data analysis

天池DCIC2020船只轨迹数据挖掘比赛算法阶段Rank 3解决方案：

Simple visualization of NGSIM I-80 dataset

PyMove is a Python library to simplify queries and visualization of trajectories and other spatial-temporal data

Trajectopy - Trajectory Evaluation in Python

[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).

OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.

a Map-Matching-based Python Toolbox for Vehicle Trajectory Reconstruction

MoveTK is a library for computational movement analysis written in C++.

Contrastive Trajectory Similarity Learning with Dual-Feature Attention (TrajCL) - ICDE 2023

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.

NGSIM I-80 dataset Leader - Follower Vehicle Trajectory Pairs

A fast, scalable and light-weight C++ Fréchet and DTW distance library, exposed to python and focused on clustering of polygonal curves.

Python package designed for collecting and processing trajectory data.

A package for MD, Docking and Machine learning drug discovery pipeline

Reconstruction of complex single-cell trajectories using CellRouter

Framework to evaluate Trajectory Classification Algorithms

Repository for molar crate and its dependencies

Crowd behavior analysis is an important field of research in modern world. It has wide applications in surveillance and public safety which are one of the prime social concerns. One way to analyze crowd behavior is obtain crowd movement data and then find out outliers in the individual trajectories to infer any abnormal behavior in the crowd.

The d-SEAMS C++ core engine

MDAnalysis tool to calculate membrane curvature.

Force Distribution Analysis (FDA) for GROMACS