peartree: A library for converting transit data into a directed graph for sketch network analysis.
The main features of kuanb/peartree are: Network and Graph Analysis, Transit Data Analysis, Python Geospatial Libraries.
Open-source alternatives to kuanb/peartree include: c2g-dev/city2graph — Transform geospatial relations into graphs for Graph Neural Networks and network analysis. udst/osmnet — Tools for the extraction of OpenStreetMap street network data. turboway/bigdata_analyse — This project is a collection of big data frameworks and pipelines, including an Apache Hive analysis framework, a… bmaslakov/kotlin-algorithm-club — This project is a comprehensive library of fundamental computer science algorithms and data structures implemented in… bmander/busbuzzard — Busbuzzard. banesullivan/localtileserver — dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium.
Transform geospatial relations into graphs for Graph Neural Networks and network analysis
This project is a collection of big data frameworks and pipelines, including an Apache Hive analysis framework, a behavioral data analytics platform, a predictive analytics engine, and real-time data pipelines. It provides the infrastructure for building Extract, Transform, Load (ETL) workflows to process large datasets for distributed storage and SQL-based analysis. The system supports diverse analytical implementations, such as a predictive engine using linear regression for value forecasting and a real-time architecture that moves data through message brokers for immediate reporting. It in
This project is a comprehensive library of fundamental computer science algorithms and data structures implemented in Kotlin. It serves as a toolkit for software engineering proficiency, providing a collection of standard computational techniques designed to operate on any data type through the use of language-level generics. The library distinguishes itself by emphasizing educational clarity and type-safe implementation. It utilizes interface-based abstractions to decouple algorithmic logic from specific data structures, while employing recursive problem decomposition and immutable state pat
