PyDigger - unearthing stuff about Python


NameVersionSummarydate
py_uds_lib 0.0.3 Python UDS Library 2024-03-02 13:36:34
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
gfdlvitals 3.0.8 Tools for calculating scalar diagnostics from GFDL models 2023-07-22 12:14:45
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
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