SPLap

SPLap · press kit

Press kit

Everything you need to write about SPLap, in one place. Use any of it; a link back to splap.dev is appreciated. Questions and interview requests: lc@federal.ai.

Boilerplate

One line. Learn Splunk by replaying a real Formula 1 Grand Prix. SPLap is a free Splunk app that replays the 2025 Italian GP from real telemetry, with the SPL behind every panel. Built on weekends by Lloyd Clark and his daughter Lilli.

Long. SPLap (Motorsport Telemetry Lab) is a free, open-source Splunk app that replays the 2025 Italian Grand Prix inside Splunk from real car telemetry: 20 cars at 3.7 Hz on a circuit map derived from the cars' own GPS, a timing tower with gaps and intervals, lap-versus-lap deltas, incident review, and deterministic race-engineer findings, each with the SPL query that reproduces it. It uses no language model and needs no internet. It was co-developed by Lloyd Clark, founder of Federal AI and an AI PhD, and his daughter Lilli, and was approved on Splunkbase in August 2026. SPLap is an independent, non-commercial project and is not affiliated with Splunk, Cisco, Formula 1 or any team.

Facts

ItemValue
NameSPLap - Motorsport Telemetry Lab
Version2.3.0 (September 2026, Splunkbase default)
WhereSplunkbase app 9608, free
Runs onSplunk Enterprise 10.x and Splunk Cloud Platform (AppInspect passed)
Data2025 Italian Grand Prix, Monza, via the OpenF1 API (non-commercial terms); 122,300 telemetry rows bundled (13.5-minute window at about 3.7 Hz) plus whole-race laps, positions, pit stops, race control and weather
CampaignThe Monza challenge and the Founding Pit Wall (first fifty active users)
LicenceApache-2.0
AuthorsLloyd Clark and Lilli
PublisherFederal AI LLC, Washington DC area
Sitehttps://splap.dev

Assets

Right-click and save. All original artwork; no F1, team or Splunk marks are included.

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