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birdhouse / packages

Package Name Access Summary Updated
udunits2 public The UDUNITS package supports units of physical quantities. 2025-03-25
antlr-python-runtime public This is the Python runtime for ANTLR. 2025-03-25
cf-units public Units of measure as required by the Climate and Forecast (CF) metadata conventions. 2025-03-25
owslib-esgfwps public OWSLib extension for ESGF WPS 2025-03-25
climaf public CliMAF: a Climate Model Assessment Framework. 2025-03-25
birdhouse-eggshell public Utilities common to multiple WPS birds. 2025-03-25
yamale public A schema and validator for YAML. 2025-03-25
emu public OGC Web Processing Service with processes for testing and demo. 2025-03-25
esmvaltool public A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP. 2025-03-25
qa-dkrz-cmip6 public No Summary 2025-03-25
cmip6-cmor-tables public JSON Tables for CMOR3 to create CMIP6 dataset 2025-03-25
r-spam public No Summary 2025-03-25
r-fields public No Summary 2025-03-25
pygbif public Python client for GBIF 2025-03-25
castf90 public circulation analogue simulation tool in fortran95 2025-03-25
lapack95 public LAPACK95 is a Fortran95 interface to LAPACK. 2025-03-25
lapack public Linear Algebra Package 2025-03-25
netcdf-fortran public Unidata NetCDF Fortran Library 2025-03-25
wget public GNU Wget is a free utility for non-interactive download of files from the Web. 2025-03-25
eventlet public No Summary 2025-03-25
pyramid_celery public Celery integration with pyramid 2025-03-25
ncregrid public A tool for rediscretisation of geo-data 2025-03-25
ncwms2 public ncWMS is a Web Map Service for displaying environmental data 2025-03-25
pluggy None plugin and hook calling mechanisms for python 2025-03-25
pygeometa None pygeometa is a Python package to generate metadata for geospatial datasets. 2025-03-25
repoze.sendmail None Repoze Sendmail 2025-03-25
wicken None Maps metadata concepts to concrete specifations and file formats 2025-03-25
petulant-bear None Presents etree interface to netcdf4-python objects using NCML data model 2025-03-25
qa-dkrz None Quality Assurance checker of meta-data in climate data sets (netCDF files) for CF conformance and CMIP5 and CORDEX projects conventions. 2025-03-25
szip None Szip compression software, providing lossless compression of scientific data: http://www.hdfgroup.org/doc_resource/SZIP/ 2025-03-25
libaec None Adaptive Entropy Coding library 2025-03-25
java-jdk None OpenJDK 2025-03-25
bird-feeder None Bird Feeder publishes Thredds metadata catalogs to a Solr index service with birdhouse schema. 2025-03-25
solr None Solr is the popular, blazing-fast, open source enterprise search platform built on Apache Lucene 2025-03-25
pysolr None Lightweight python wrapper for Apache Solr. 2025-03-25
myproxyclient None This a pure Python implementation of a client to the MyProxy Credential Management Server. 2025-03-25
threddsclient None Thredds catalog client. 2025-03-25
celery None Distributed Task Queue 2025-03-25
amqp None Low-level AMQP client for Python (fork of amqplib) 2025-03-25
kombu None Messaging library for Python 2025-03-25
billiard None Python multiprocessing fork with improvements and bugfixes 2025-03-25
thredds None The THREDDS Data Server (TDS) is a web server that provides metadata and data access for scientific datasets, using a variety of remote data access protocols. 2025-03-25
apache-tomcat None Apache Tomcat is an open source software implementation of the Java Servlet, JavaServer Pages, Java Expression Language and Java WebSocket technologies. 2025-03-25
pyproj None No Summary 2025-03-25
pycsw None pycsw is an OGC CSW server implementation written in Python 2025-03-25
r-evd None Functions for extreme value distributions. Extends simulation, distribution, quantile and density functions to univariate and multivariate parametric extreme value distributions, and provides fitting functions which calculate maximum likelihood estimates for univariate and bivariate maxima models, and for univariate and bivariate threshold models. 2025-03-25
r-ncdf4 None This package provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or earlier), which are binary data files that are portable across platforms and include metadata information in addition to the data sets. Using this package, netCDF files (either version 4 or "classic" version 3) can be opened and data sets read in easily. It is also easy to create new netCDF dimensions, variables, and files, in either version 3 or 4 format, and manipulate existing netCDF files. This package replaces the former ncdf package, which only worked with netcdf version 3 files. For various reasons the names of the functions have had to be changed from the names in the ncdf package. The old ncdf package is still available at the URL given below, if you need to have backward compatibility. It should be possible to have both the ncdf and ncdf4 packages installed simultaneously without a problem. However, the ncdf package does not provide an interface for netcdf version 4 files. 2025-03-25
r-ncdf None This package provides a high-level R interface to Unidata's netCDF data files, which are portable across platforms and include metadata information in addition to the data sets. Using this package netCDF files can be opened and data sets read in easily. It is also easy to create new netCDF dimensions, variables, and files, or manipulate existing netCDF files. This interface provides considerably more functionality than the old "netCDF" package for R, and is not compatible with the old "netCDF" package for R. 2025-03-25
r-presenceabsence None This package provides a set of functions useful when evaluating the results of presence-absence models. Package includes functions for calculating threshold dependent measures such as confusion matrices, pcc, sensitivity, specificity, and Kappa, and produces plots of each measure as the threshold is varied. It will calculate optimal threshold choice according to a choice of optimization criteria. It also includes functions to plot the threshold independent ROC curves along with the associated AUC (area under the curve). 2025-03-25
r-raster None No Summary 2025-03-25

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