Name | Version | Summary | date |
gfdlvitals |
3.0.9 |
Tools for calculating scalar diagnostics from GFDL models |
2024-06-03 18:44:48 |
chanjo |
4.7 |
Coverage analysis tool for clinical sequencing |
2024-05-22 10:00:58 |
prog-server |
1.6.0 |
The NASA Prognostics As-A-Service (PaaS) Sandbox (a.k.a. prog_server) is a simplified Software Oriented Architecture (SOA) for performing prognostics of engineering systems. The PaaS Sandbox is a wrapper around the Prognostics Algorithms and Models Packages, allowing 1+ users to access these packages features through a REST API. The package is intended to be used as a research tool to prototype and benchmark Prognostics As-A-Service (PaaS) architectures and work on the challenges facing such architectures |
2023-10-25 22:39:13 |
progpy |
1.6.0 |
The NASA Prognostic Package (ProgPy) is a python prognostics framework focused on building, using, and evaluating models and algorithms for prognostics (computation of remaining useful life) and health management of engineering systems, and provides a set of prognostics models for select components and prognostics algorithms developed within this framework, including uncertainty propagation. |
2023-10-25 22:07:27 |
llvm-diagnostics |
3.0.1 |
Python module for creating diagnostics using the LLVM diagnostics specification |
2023-10-03 12:48:41 |
prog-algs |
1.5.1 |
The NASA Prognostics Algorithm Package is a framework for model-based prognostics (computation of remaining useful life) of engineering systems. It includes algorithms for state estimation and prediction, including uncertainty propagation. The algorithms use prognostic models (see prog_models) to perform estimation and prediction. The package enables rapid development of prognostics solutions for given models of components and systems. Algorithms can be swapped for comparative studies and evaluations |
2023-08-18 23:52:02 |
clickhouse-tools |
2.1.71613250 |
clickhouse-tools is a set of tools for administration and diagnostics of ClickHouse DBMS. |
2023-08-11 16:01:44 |
prog-models |
1.5.2 |
The NASA Prognostic Model Package is a python modeling framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components. |
2023-07-13 22:34:08 |
dttxml |
1.1.7 |
Extract data from LIGO Diagnostics test tools XML format. Formerly dtt2hdf. |
2023-05-16 00:02:48 |
combipyroc |
0.1.1a0 |
Find the best combination of biomarkers in case-control experiment |
2023-04-28 13:34:11 |
tbpore |
0.4.1 |
Mycobacterium tuberculosis genomic analysis from Nanopore sequencing data |
2023-02-01 23:05:42 |
strmprivacy-diagnostics |
1.2.2 |
STRM Privacy Diagnostics for reporting privacy metrics on a dataset. |
2023-01-25 15:02:46 |