galah-python is a Python interface to biodiversity data hosted by the Global
Biodiversity Information Facility (GBIF) and
those members of the GBIF node network that maintain their own APIs
(i.e. the ‘living atlases’). These
organisations collate and store observations of individual life forms,
using the ‘Darwin Core’ data standard. galah-python
was built and is maintained by the Science & Decision Support
Team at the Atlas of Living
Australia (ALA).
galah-python enables users to locate and download species occurrence records
(observations, specimens, eDNA records, etc.), taxonomic information, or
associated media such as images or sounds, and to restrict their queries
to particular taxa or locations. Users can specify which columns are
returned by a query, or restrict their results to occurrences that meet
particular data-quality criteria. All functions return a Pandas DataFrame as
their standard format.
The package is named for the bird of the same name (Eolophus roseicapilla), a widely-distributed endemic Australian species. The logo was designed by Ian Brennan.
If you have any comments, questions or suggestions, please contact us.
- The Getting Started Tutorial provides an introduction to the core package functions.
- For an outline of the package structure, and a list of all the available functions, view the API docs page.
See the installation docs for full details.
Install the galah-python package
$ pip install galah-pythongalah-python depends on the following packages:
numpypandasrequestsurllib3TIME-pythonzip-filesconfigparserglob2shutilssetuptoolsshapelypytestunittest2py3k
Visit the galah package website for documentation and vignettes to get started.
galah-python was created by Amanda Buyan, with contributions by Caitlin Ramsay, Dax Kellie and Martin Westgate under a MPL-2.0 license.
galah-python was created with cookiecutter and the py-pkgs-cookiecutter template.