Inside look at Onyx & OPAL
MetroStar’s open-source Onyx platform is the predecessor of OPAL and contains a custom experiment tracking system that integrates with JupyterHub, allowing teams of data scientists to audit, track, and automatically evaluate experiments under any fairness and explainability criteria. In addition, Onyx is 100 percent sustainable and extensible, which helps agencies avoid vendor lock-ins.
OPAL is a transformed copy of Onyx. The transformation included the necessary changes for the platform to be made available on Platform One for government agencies to unlock critical data to reach their mission’s goals. In collaboration with the Air Force 309th, OPAL is a secure and classified, open-source platform, enabling large-scale analytics for avionics flight data. This FOSS product produces a lightweight cloud-native data platform that performs near real-time petabyte-scale data analysis, cutting quality assurance and regression time by several orders of magnitude.
OPAL is an approachable yet attainable set of machine learning capabilities that effectively integrates data workflows, enabling the release of mission-critical government products. MetroStar’s transformation of the Onyx platform led to a solution that gives the right people in government agencies the right resources, at the right time, to resolve data access challenges.