Flight Data Lab

Flight Data Lab is your open-source intelligence suite for processing, analyzing, and visualizing UAV (drone) flight data. Built for developers, researchers, and drone enthusiasts, it offers tools for flight log parsing, anomaly detection, geospatial mapping, and performance reporting — all powered by modern data science workflows.

Why Flight Data Lab?

Commercial and recreational drones generate massive amounts of flight telemetry, but much of that data remains locked behind proprietary platforms. Flight Data Lab breaks that barrier by offering:

• ✅ Transparent, open-source tooling
• ✅ Customizable analytics pipelines
• ✅ Reproducible geospatial insights
• ✅ Lightweight, scriptable components using Python, Julia, and open GIS standards

Whether you’re optimizing autonomous flight paths or reviewing logs after test missions, Flight Data Lab helps you turn raw drone data into actionable intelligence.

Features

• Log File Parsing: Supports CSV, JSON, and vendor-specific telemetry (DJI, ArduPilot).
• Geospatial Path Mapping: Visualize UAV routes over coordinate systems or OSM tiles.
• Velocity Smoothing & Anomaly Detection: Identify erratic behavior, spikes, or hover delays.
• Altitude & Battery Plots: Standard time-series graphs for performance review.
• Summary Reports: Exportable metrics like flight time, distance, peak altitude, and battery usage.
• Offline-First Analysis: Ideal for field use or post-mission forensics.
• Modular Scripting Support: Reuse Python or Julia components in broader analysis workflows.

Use Cases

• ✅ Drone software developers testing custom firmware
• ✅ Researchers studying flight dynamics or environmental conditions
• ✅ Pilots analyzing mission performance over time
• ✅ Educators teaching UAV concepts using real-world data
• ✅ Civil engineers, foresters, and agritech startups reviewing UAV surveys

Included Tools & Projects

• analyze_uav_data.jl
  Julia script for parsing, plotting, and summarizing flight logs
• flight-anomaly-detector.py
  Python script for velocity smoothing and anomaly flagging
• geo-flight-mapper.ipynb
  Jupyter notebook for generating interactive geospatial path maps
• battery-performance-plotter.py
  Battery decay rate visualizer across flight sessions
• flightlog-summary-exporter.py
  CLI tool for exporting flight session stats to CSV or JSON

Developer Stack

Join the Mission

Flight Data Lab is part of our commitment at Bold Outlook to empower open-source innovation in geospatial analytics, UAV automation, and applied data science.

Let’s decode the skies — one flight log at a time.