Spyglass is a framework for building your analysis workflows with a focus on reproducibility and sharing. Spyglass uses community-developed open-source projects such as NWB and DataJoint to manage data in a shareable format, build and run pipelines and store their inputs and outputs in a relational database, and generate visualizations of analysis results for sharing with the community. It comes with ready-to-use pipelines for spike sorting, LFP analysis, position processing, and fitting of state space models for decoding variables of interest from neural data. Docs Source.

GitHub Repo stars for Spyglass ../../_images/Spyglass.png