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Dockerized Apache Airflow image designed to be run in our kubernetes infrastructure
Pipeline which generates different kinds of vessel events
Dataflow pipeline tools and utilities
Track commercial fishing activity worldwide on the free, user-friendly, interactive Global Fishing Watch map.
Python pipeline for anchorages
A Mini Globe React component
Interactive API documentation for the RESTfull services exposed by Global Fishing Watch
Dataflow pipeline for running the vessel track segmenter.
Vessel classification: feature generation and model training/inference.
A Google Maps Tiles API proxy
Docker Apache Airflow
Experimenting with standard vector tiles for the GlobalFishingWatch project
Core algorithm of Encounters Pipeline
Small conversion tools to be used by GlobalFishingWatch frontend and backend(s)
Model for predicting set times based on AIS transponder data
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
An API microservice to upload positional vessel datasets to GFW for later processing.
Simple worker process which consumes report requests queue, generates the corresponding reports and mails them to the user.
Apache Airflow (Incubating)
A public repo for code and analyses associated with the paper Tracking the Global Footprint of Fisheries
A public repo for data associated with the paper Identifying Global Patterns of Transshipment Behavior
Dockerization for CartoDB
Font glyphs for GL Styles with open fonts
Template for dataflow pipelines using python
PoC / rendering sandbox for a new renderer for GlobalFishingWatch using Mapbox GL JS and deck.gl