onlinecml is an open-source Python library for online causal machine learning, supporting streaming data and uplift modeling. It is designed for data scientists and researchers working on real-time causal inference tasks.
onlinecml sits in PulseGate's AI & ML category. It enables developers to perform online causal inference and uplift modeling on streaming data in Python. onlinecml is an open-source project aimed at data scientists and machine learning researchers. The project is open source (MIT). onlinecml is available on the web and the command line, and it can be self-hosted.
Behind onlinecml is athammad, and the product first shipped in 2026. The project is developed in the open on GitHub with 35 commits in the last 90 days. Across PulseGate's embedding index, onlinecml has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are causal inference, online learning, and streaming data support.
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