(target-movement)= # movement A Python toolbox for analysing body movements across space and time, to aid the study of animal behaviour in neuroscience. ::::{grid} 1 2 2 3 :gutter: 3 :::{grid-item-card} {fas}`rocket;sd-text-primary` Getting Started :link: getting_started/index :link-type: doc Installation, first steps and key concepts. ::: :::{grid-item-card} {fas}`chalkboard-user;sd-text-primary` Examples :link: examples/index :link-type: doc A gallery of examples using movement. ::: :::{grid-item-card} {fas}`comments;sd-text-primary` Join the movement :link: community/index :link-type: doc How to get in touch and contribute. ::: :::: ![](_static/movement_overview.png) ## Overview Pose estimation tools, such as [DeepLabCut](dlc:) and [SLEAP](sleap:) are now commonplace when processing video data of animal behaviour. There is not yet a standardised, easy-to-use way to process the *pose tracks* produced from these software packages. movement aims to provide a consistent modular interface to analyse pose tracks, allowing steps such as data cleaning, visualisation and motion quantification. We aim to support a range of pose estimation packages, along with 2D or 3D tracking of single or multiple individuals. Find out more on our [mission and scope](target-mission) statement and our [roadmap](target-roadmaps). ```{include} /snippets/status-warning.md ``` ## Citation ```{include} ../../README.md :start-after: '## Citation' :end-before: '## License' ``` ```{toctree} :maxdepth: 2 :hidden: getting_started/index examples/index community/index api_index ```