PX4 Log Analyzer

A precise tool for developers and operators to analyze PX4 flight logs, reveal performance patterns, and guide debugging without manual data wrangling.

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About This Tool

PX4 Log Analyzer parses flight logs, extracts telemetry streams, and returns concise, decision-ready summaries for developers, operators, and maintenance teams. It supports standard PX4 formats such as .ulg and plain-text .log/.txt and can produce structured data models for downstream analytics. The tool focuses on what happened during the flight, not only how it was captured, helping teams identify root causes quickly. It captures key signals including IMU data, GPS, battery voltage, current, attitude, arming/disarm events, RC inputs, and flight mode transitions. It computes high-level metrics like loop rate stability, sensor health indicators, GPS fix quality, altitude consistency, and power trends, and it can compare current flights against baselines. It also flags data gaps, timestamp mismatches, and suspicious gaps that hinder interpretation. Output formats include a metrics table, anomaly flags, trend summaries, and exports in CSV and JSON.
Conceptually, the analyzer maps each log record to a consistent schema, harmonizes timestamps across streams, and derives features from raw data. It uses rolling averages and time-aligned normalization to produce stable indicators, then applies domain-specific heuristics and z-score based anomaly detection with user-tunable thresholds. Edge handling includes interpolating short gaps when safe and marking longer gaps as missing, ensuring users understand the data quality. The system remains data-centric and avoids making control or behavior recommendations, instead presenting diagnostics and actionable signals that a human analyst can interpret.
Who benefits: firmware engineers validating controller changes, sensor calibration teams verifying data integrity, maintenance crews diagnosing post-flight anomalies, and operations teams evaluating mission reliability across fleets. Use cases include preflight checks to confirm sensor health, post-flight reviews to quantify performance deviations, and fleet-wide trending to spot recurring issues. It supports side-by-side comparisons between flights, exportable reports, and audit-ready histories suitable for flight logs and compliance records.
Unique value stems from PX4-grounded calculations, scalable analysis, and exportable reports. Core features include robust log parsing, field extraction, metric computation, anomaly detection, configurable thresholds, multi-flight comparisons, and export formats (CSV/JSON). It integrates with data pipelines and yields repeatable, shareable results that accelerate debugging, validation, and flight performance optimization.

How to Use

  1. Provide inputs: Upload PX4 log file(s) (.ulg, .log/.txt) and set optional filters (flight_id, start_time, end_time).
  2. Configure analysis scope: enable advanced options (thresholds, comparison across flights) or run default settings.
  3. Run analysis: start processing to compute metrics and flag anomalies.
  4. Review outputs: inspect the metrics table, anomaly flags, trend charts, and exports (CSV/JSON).
  5. Interpret results: use insights to debug performance, validate changes, and plan future flights.
How to use log analyzer px4

Frequently Asked Questions

Find Quick Answers

Which log formats are supported?
The tool accepts PX4 flight logs in standard formats such as .ulg and plain-text .log/.txt. It parses common data streams (IMU, GPS, battery, attitude, arming, RC, flight mode) and notes missing fields, providing a transparent partial report when data is incomplete.
Is data processed locally or in the cloud?
All analysis runs locally on user-provided data by default. No data is transmitted unless explicitly enabled. Output results are generated from the supplied logs, preserving privacy and compliance with sensitive information.
What outputs are produced?
The tool outputs a metrics summary, anomaly flags, trend reports, and exportable files in CSV and JSON. It highlights root-cause indicators (e.g., IMU drift, voltage dips) and provides actionable signals for engineers and operators.
Can thresholds be customized?
Yes. Users may adjust anomaly detection thresholds and define flight-phase filters. Custom thresholds trigger recalculated metrics and revised anomaly flags reflecting the new baselines.

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