IQRx

IQRx is a cross-platform open-source framework designed for robust statistical analysis and data visualization. The project emphasizes the use of interquartile range (IQR) methods for outlier detection and data quality control, while providing a unified interface for data processing, statistical computation, and visualization. Intended for researchers, analysts, and developers, IQRx seeks to streamline workflows that involve non-parametric statistics and exploration of data distributions across heterogeneous data sources.

IQRx began as a collaborative project among researchers and practitioners in academia and industry in the early 2020s, with the first public release in 2023. The initiative aimed to bridge gaps between specialized statistics tools and general-purpose data platforms by offering a modular, language-agnostic core. Subsequent releases added broader language bindings and connector plugins, expanding reach to Python, R, and JavaScript environments, as well as to SQL databases and streaming sources.

IQRx employs a modular architecture built around a core statistical engine, a plug-in layer for data connectors, and a visualization subsystem. The core implements robust statistics, including IQR-based outlier detection, robust regression options, and resampling methods. The scripting API enables users to compose workflows in multiple languages, while the visualization module supports interactive charts and dashboards. The project uses an permissive license and emphasizes extensibility through community-contributed plug-ins.

Critics have highlighted the project’s focus on clarity and robustness as advantages for education and reproducible research, while noting that the ecosystem remains smaller than more established data-science stacks. Proponents argue that IQRx provides a targeted alternative for projects prioritizing robust statistics and data quality assurance.