  OutlierDetection.jl is an open-source ecosystem for outlier detection in
Julia. It provides a range of high-performance outlier detection algorithms
implemented directly in Julia. In contrast to previous packages, our ecosystem
enables the development highly-scalable outlier detection algorithms using a
high-level programming language. Additionally, it provides a standardized, yet
flexible, interface for future outlier detection algorithms and allows for
model composition unseen in previous packages. Best practices such as unit
testing, continuous integration, and code coverage reporting are enforced
across the ecosystem. The most recent version of OutlierDetection.jl is
available at https://github.com/OutlierDetectionJL/OutlierDetection.jl.
