This library extracts flight information from aircraft movements like departure airfield and time, arrival airfield and time, total flight time and more.
This project is a comprehensive Power BI dashboard analyzing airport operations, focusing on flight delays, time analysis, and detailed flight information to improve efficiency and passenger satisfaction.
Graph-based flight performance analytics using GraphFrames and Databricks. Analyzes 1M+ flight records to identify delay patterns, rank airports with PageRank, discover optimal routes, and visualize network relationships through motif finding and BFS algorithms.
Flight delay prediction model using Apache Spark and machine learning. Analyzes 2008 American Airlines data to identify key delay factors with 97% accuracy (R² 0.9739).
Python desktop application for analyzing ArduPilot and QGroundControl flight missions, validating flight paths, terrain clearance, approach glide slopes and trajectory angles, with online maps and SRTM elevation profiles.
Analysis of NYC flight delays using the `nycflights13` dataset, with insights into weather impacts and delay prediction using regression and classification models.
An interactive Tableau dashboard to uncover the deeper causes and patterns behind flight delays in the U.S. using 2023 data.
Video-first Blackbox flight analysis with DVR overlays, event detection, and flight comparison.
A Big Data analytics platform built with Apache Spark, Hadoop HDFS, PySpark MLlib, and Streamlit for analyzing airline performance, flight delays, airport traffic, and route analytics.
This project is a comprehensive Power BI dashboard analyzing airport operations, focusing on flight delays, time analysis, and detailed flight information to improve efficiency and passenger satisfaction.
Core foundation platform for drone-based systems, flight analysis, and GPS processing.
This GitHub repository contains Python code that analyzes flight data using libraries like NumPy, Pandas, SciPy, Matplotlib, and Seaborn. It performs data preprocessing, exploration, and visualization tasks to gain insights into flight patterns, delays, carrier performance, and more.
Indian Flight Data Analysis System - Analyzes 300K+ flights using Python, Pandas & Matplotlib
Extract, analyze and visualize PX4 ULog flight telemetry using Python and Dash.
How I use data to make better decisions in my everyday life
Interactive Flight Operations Dashboard built using Microsoft Power BI.
Analyse optimal aircraft types using flight operations and characteristics
Open-source mobile Rotorflight flight-log analysis and tuning advice
Python toolkit for multicopter battery endurance, range estimation, and flight-log-calibrated power-speed models.
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