🌎 Python library to access all public routing, isochrones and matrix APIs in a consistent manner.

MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.

Python script that receives a molecular dynamics or Monte Carlo trajectory and performs agglomerative clustering to classify similar structures.

A python library for computing distances.

The official Python library for the Log-hub API

RanCoord is a Python package for random sampling of geographic coordinates

Generate Distance and Duration CSV Matrix from provided location longitude and latitude. Distance and duration provided by Google Maps Distance Matrix.

High-performance tool for constructing Minimum Spanning Trees from symmetric distance matrices. Features Numba-accelerated algorithms, parallel processing, and zero-distance grouping. Outputs MST in standard Newick format.

Phylogenetic tree manipulating with Python

Python implementation of k-medoid algorithm making use of different set and sequence similarity measures.

Used to assign smaller point clouds to each other. The inner geometry (distances) of these two clouds has to be the same (rigid body transformation, but with a certain threshold of change of inner geometry). One purpose would be a geodetic measurement of marked points.

mlst2dist.py computes a distance matrix from a chewBBACA MLST alleles table, using Hamming Distance modified with correction for missing data

Academy

Python package to perform mixed-type distance calculations

A Python program implementing agglomerative clustering. (subject UI)

The "Chicago Taxi Fare Prediction" project aims to develop a machine learning model using Vertex AI AutoML that can be used for taxi fare prediction in the Chicago area. The location was obtained using the Google Places API, while the distance and duration were obtained using the Google Distance Matrix API.

A Streamlit app that finds the most time-efficient route between multiple addresses using the Google Maps API. Supports various transportation modes and generates a shareable Google Maps link with the optimized route.

By using Tabu search and simulated annealing, we also determine which one is more efficient in terms of time excursion. Our aim is to print the route in specific given time according to the number of vehicle.

This function will generate a distance matrix for a set of points on the cartesian plane

This is a basic distance calculator, useful for the Tourism Industry