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This tool allows the identification and tracking of marine vessels by geolocation, MMSI, or via MarineTraffic URLs. It ensures user privacy via proxy support, and includes fallback strategies for optimal performance.

🥇🏆🏅 KnowAIS project won first place and Best Visualization in The UN Big Data Hackathon 2022 Big Data Expert Track.

Raster tiles chartplotter

AISdb Python package for smart AIS data storage and interaction.

PyTSA: Python Trajectory Splitting and Assessment Agent. Vessel monitoring and trajectory extraction framework for AIS records.

The proposed methodology assess how compression algorithms influence the clustering analysis with respect to anomaly detection of vessel trajectories.

Support for the Syria Economic Monitor

trackio - A Python approach to working with spatiotemporal mass movement data.

Anomaly detection from ships' Automatic Identification System (AIS) data

U.S. Coast Guard Nationwide Automatic Identification System (NAIS) Data Project

MariDataHarvest is a tool for scrapping and harvesting Automatic Identification System (AIS) data provided by marinecadastre then appending it with the weather and environment conditions provided by CMEMS and RDA at each geographical and UTC timestamp point.

An app to display ship routes from AIS files.

Part of my PhD thesis - a system for reconstruction of damaged AIS data, consisting of 3 stages: clustering, anomaly detection and prediction

Python tool scraping and collecting terrestrial AIS streaming data (visualization, API usage tracking, ...)

Plugin to make use of AIS data

ROS driver for the Automatic Identification System (AIS)

Exchange AIS-like messages via the Internet in private group. netAIS implementation as Signal K server plugin