| Name | Version | Summary | date |
| odxtools |
9.2.0 |
Utilities to work with the ODX standard for automotive diagnostics |
2024-12-19 11:16:22 |
| iimi |
0.2.7 |
identifying plant infection with machine intelligence. |
2024-12-13 07:46:21 |
| openobd |
1.17.3 |
Jifeline Networks openOBD Python Client Library |
2024-12-02 13:05:29 |
| openobd-utils |
1.17.3 |
Jifeline Networks openOBD Python Utils Library |
2024-12-02 13:05:28 |
| openobd-protocol |
1.17.3 |
Jifeline Networks openOBD Protocol Buffers gRPC |
2024-12-02 12:49:22 |
| prog-server |
1.7.0 |
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 |
2024-11-09 00:11:08 |
| progpy |
1.7.0 |
The 2024 NASA Software of the Year, 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. |
2024-11-08 23:00:30 |
| health-checks |
1.1.0 |
Library for health checks |
2024-10-23 10:38:12 |
| atoparser |
3.3.0 |
Utilities for reading Atop files natively in Python |
2024-09-21 14:03:12 |
| lmdiag |
0.4.1 |
Diagnostic Plots for Lineare Regression Models. Similar to plot.lm in R. |
2024-06-25 09:11:20 |
| py_uds_lib |
0.0.5 |
Python package for creating UDS requests |
2024-05-21 02:55:11 |