nasa / prog_algs

The Prognostic Algorithm Package is a python framework for model-based prognostics (computation of remaining useful life) of engineering systems, and provides a set of algorithms for state estimation and prediction, including uncertainty propagation. The algorithms take as inputs prognostic models (from NASA's Prognostics Model Package), and perform estimation and prediction functions. The library allows the rapid development of prognostics solutions for given models of components and systems. Different algorithms can be easily swapped to do comparative studies and evaluations of different algorithms to select the best for the application at hand.

Date Created 2021-03-09 (4 years ago)
Commits 1,364 (last one about a year ago)
Stargazers 57 (0 this week)
Watchers 5 (0 this week)
Forks 24
License unknown
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RepositoryStats indexes 632,894 repositories, of these nasa/prog_algs is ranked #449,922 (29th percentile) for total stargazers, and #323,843 for total watchers.

Other Information

nasa/prog_algs has 4 open pull requests on Github, 99 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 32 open issues and 87 closed issues.

There have been 11 releases, the latest one was published on 2023-08-18 (about a year ago) with the name Release v1.5.1 Hotfix.

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892 commits on the default branch (dev) since jan '22

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updated: 2025-03-08 @ 09:18pm, id: 346097218 / R_kgDOFKEGQg