
Marple is a time-series data analysis platform that helps engineering teams visualize, inspect, and compare complex measurement data from tests, sensors, and simulations.
Marple is a browser-based time series data analysis platform designed specifically for engineering and R&D teams. It centralizes measurement, test, and sensor data from multiple sources, allowing engineers to quickly inspect, compare, and understand complex datasets without custom scripting. The primary purpose of Marple is to streamline diagnostics, validation, and performance analysis so teams can make data-driven engineering decisions faster and with greater confidence.
Marple offers high-performance visualization of large time series datasets, with interactive zooming, panning, and synchronized views across multiple signals and test runs. Engineers can overlay tests, apply filters, and create derived signals to investigate anomalies or validate design changes. The platform supports annotations, tagging, and sharing of analysis sessions, enabling consistent documentation and collaboration across teams and projects. Integration with common data formats and storage systems allows Marple to fit into existing test benches, simulation environments, and data pipelines without extensive IT overhead.
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