Metadata-Version: 2.1
Name: DA-DAPPER
Version: 0.9.6
Summary: Data Assimilation with Python: a Package for Experimental Research.
Home-page: https://github.com/nansencenter/DAPPER
Author: Patrick N. Raanes
Author-email: patrick.n.raanes@gmail.com
License: UNKNOWN
Keywords: data-assimilation enkf kalman-filtering state-estimation particle-filter kalman bayesian-methods bayesian-filter chaos
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: ~=3.6
Description-Content-Type: text/markdown
Requires-Dist: scipy (>=1.1)
Requires-Dist: ipython (>=5.1)
Requires-Dist: matplotlib (~=3.1)
Requires-Dist: tqdm (~=4.31)
Requires-Dist: colorama (~=0.4.1)
Requires-Dist: tabulate (~=0.8.3)
Provides-Extra: mp
Requires-Dist: threadpoolctl (==1.0.0) ; extra == 'mp'
Requires-Dist: multiprocessing-on-dill (==3.5.0a4) ; extra == 'mp'
Requires-Dist: psutil ; extra == 'mp'
Provides-Extra: qt
Requires-Dist: PyQt5 ; extra == 'qt'
Requires-Dist: qtpy ; extra == 'qt'

DAPPER is a set of templates for benchmarking the performance of data assimilation (DA).
See full description at github.com/nansencenter/DAPPER.


