================ ISARIC Analytics ================ The `ISARIC Analytics `_ library (:code:`isaricanalytics`) is for users requiring or interested in: - Raw data extraction and cleaning from `REDCap `_ project databases. - Transforming custom raw clinical datasets into the `ISARIC data schema `_. - Data analytics & visualisation with `Pandas `_ and `Plotly `_. ISARICAnalytics is licensed under the open source compliant `MIT license `_. .. image:: _static/osi-badge-light.svg :target: https://opensource.org/license/mit :height: 200px :width: 200px Installation ------------ Install with :program:`pip` directly from GitHub using: .. code:: shell pip install -U git+https://github.com/ISARICResearch/ISARICAnalytics This will install the default ``main`` branch of the repo, including all package dependencies (and sub-dependencies) - if you want a specific branch, tag or commit SHA use .. code:: shell pip install -U git+https://github.com/ISARICResearch/ISARICAnalytics@ The minimum required Python version is 3.11. Documentation ------------- The documentation is currently limited to an :ref:`API reference ` for all the core public libraries. Further documentation on using the core libraries, including a plot gallery showing a range of plots and figures that can be generated using the visualisation library, will be added over time. If you're interested in contributing please look at the :ref:`contributing guide `. .. toctree:: :maxdepth: 1 :caption: Contents: sources/api-reference sources/contributing Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`