From the nature science briefing:

A free, open-source and extensible image viewer for arbitrarily complex (‘ <https://nature.us17.list-manage.com/track/click?u=2c6057c528fdc6f73fa196d9d&id=2580531200&e=a3edefc5e0> *n* <https://nature.us17.list-manage.com/track/click?u=2c6057c528fdc6f73fa196d9d&id=55b6dab91c&e=a3edefc5e0>-dimensional’) data <https://nature.us17.list-manage.com/track/click?u=2c6057c528fdc6f73fa196d9d&id=c271af3135&e=a3edefc5e0> fills a gap in the Python scientific ecosystem. napari — whose name refers to a Pacific island village midway between the developers’ bases in San Francisco and Melbourne — features a simple graphical interface with a built-in Python console. Early adopters are using it to streamline everything from visualizing atmospheric jet streams to identifying cells in tissue. Nature | 4 min read <https://nature.us17.list-manage.com/track/click?u=2c6057c528fdc6f73fa196d9d&id=50afef38ac&e=a3edefc5e0> Cheers,Matthew *Doctoral Researcher, TAIAO project <https://taiao.ai/>**, University of Waikato* *Machine Learning Laboratory, FG.2.01LinkedIn <https://www.linkedin.com/in/matthew-skiffington>*