peppy is a python package that provides an API for handling standardized project and sample metadata.
If you define your project as a standard Portable Encapsulated Project (or PEP), you can use the
peppy package to instantiate an in-memory representation of your project and all of its samples. You can then use this for interactive analysis, or to develop a novel python tool based on
peppy so you don't have to handle sample processing.
peppy is primarily useful to tool developers and data analysts who want a standard way of representing sample-intensive research project metadata. To get started, proceed with the :doc:`Introduction <intro>`.
.. toctree:: :caption: Explanation and Getting Started :maxdepth: 1 intro.rst hello-world.rst .. tutorials.rst
.. toctree:: :maxdepth: 2 :caption: Tutorials and How-to recipes jupyter/tutorial.ipynb jupyter/subannotation.ipynb models.rst
.. toctree:: :caption: Reference :maxdepth: 2 api.rst
.. toctree:: :caption: Further Reading :maxdepth: 1 .. faq.rst changelog.rst support.rst