Skip to main content

Framework for data-driven generation of neuroglancer states.

Project description

This package offers a set of tools designed to ease the programmatic generation of Neuroglancer states and close the loop between analysis and data exploration. The key tool is the notion of a StateBuilder that is easily configured to map dataframes into neuroglancer states. See the example notebook for what it can do an how it can simplify the process of making neuroglancer states, including setting annotations, segmentations, colors, tags, and more. It's also designed to operate easily with DashDataFrame to interactively explore complex data.

All code in the 'nglite' submodule is stripped down from v1.1.6 of the 'neuroglancer' python module from the fantastic Neuroglancer suite by Jeremy Maitin-Shepard from the Google connectomics team. Anything that works is their fault, anything that doesn't is ours. Please do not use this as a replacement for neuroglancer on pypi, which has more capabilities, albeit more sensitive installation procedures, than are needed for this work.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nglui-3.1.0.tar.gz (215.1 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page