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pypi.org : da-dapper

DAPPER benchmarks the performance of data assimilation (DA) methods.

Registry - Source - Documentation - JSON
purl: pkg:pypi/da-dapper
Keywords: data-assimilation, enkf, kalman-filtering, state-estimation, particle-filter, kalman, bayesian-methods, bayesian-filter, chaos
License: MIT
Latest release: almost 3 years ago
First release: almost 5 years ago
Dependent repositories: 1
Downloads: 39 last month
Stars: 325 on GitHub
Forks: 118 on GitHub
Total Commits: 1538
Committers: 9
Average commits per author: 170.889
Development Distribution Score (DDS): 0.068
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 2 days ago

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