timeseries-qc is a Python package that classifies timeseries data as Good, Sus, or Bad based on logic and business rules. It also renders a multi-tag quality timeline chart for visualization. Primarily useful for SCADA, historian, and industrial IoT datasets, it is open source under the MIT license.
timeseries-qc is an Other dev tools project. It focuses on determining and visualizing the quality of industrial timeseries/sensor data according to custom logic and rules. It is built as an open-source project for data engineers. timeseries-qc is open source under the MIT license. It runs on the command line.
Behind timeseries-qc is nagusubra, and it first shipped in 2026. Development happens publicly on GitHub with 76 commits in the last 90 days. Among its 5 catalogued features are Data Classification, Quality Timeline, and Multi-tag Chart.
Summary written by a language model from the project’s public pages.
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