Metadata-Version: 2.1
Name: dapper
Version: 1.3.0
Summary: DAPPER benchmarks the performance of data assimilation (DA) methods.
Home-page: UNKNOWN
Author: Patrick N. Raanes
Author-email: patrick.n.raanes@gmail.com
License: UNKNOWN
Project-URL: Documentation, https://nansencenter.github.io/DAPPER/
Project-URL: Source, https://github.com/nansencenter/DAPPER
Project-URL: Tracker, https://github.com/nansencenter/DAPPER/issues
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: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: Qt
Provides-Extra: dev
Provides-Extra: test
Provides-Extra: lint
Provides-Extra: build
License-File: LICENCE.txt

It is usually best to install from source (github),
so that you the code is readily available to play with.
See full README on [github](https://github.com/nansencenter/DAPPER).


