likliide
Likliide is an open-source, modular analytics framework designed to estimate and explain the likelihood of events in complex data systems. It emphasizes probabilistic modeling and privacy-conscious data processing.
The framework is built to operate on both streaming and batch data, combining probabilistic reasoning, transparent
Core components include a data ingestion layer, a feature store, a probabilistic modeling engine, a decision
Key features encompass a plugin-based architecture, a model zoo with pre-trained priors, automatic calibration, uncertainty quantification,
Likliide was developed by a community of researchers and engineers to be language-agnostic and interoperable with
Common use cases include predicting purchase likelihood, detecting fraud signals, forecasting equipment failures, estimating churn risk,
Governance is designed to be open and collaborative, with contributions routed through an issue-tracker system and
See also: likelihood, probabilistic programming, Bayesian inference, differential privacy.