| Name | Version | Summary | date |
| legacy-quadpy |
0.16.10 |
Numerical integration, quadrature for various domains |
2023-12-23 05:29:33 |
| xtgeoviz |
0.1.0 |
Plotting library for xtgeo objects |
2023-12-11 13:17:29 |
| spc4everybody |
0.0.1 |
A powerful Python framework to perform Statistical Process Control (SPC) analysis |
2023-11-19 11:58:29 |
| co2mpas |
4.3.5 |
The Type-Approving vehicle simulator predicting NEDC CO2 emissions from WLTP |
2023-11-15 11:49:06 |
| syncing |
1.0.9 |
Time series synchronisation and resample library. |
2023-11-15 11:30:37 |
| formulas |
1.2.7 |
Parse and compile Excel formulas and workbooks in python code. |
2023-11-15 09:46:42 |
| compas-ags |
1.2.1 |
COMPAS package for Computational Graphic Statics |
2023-11-10 09:25:22 |
| well-profile |
0.8.1 |
Well Profile Builder |
2023-11-06 21:03:36 |
| pyradon |
0.0.3 |
A python package of Radon transform for denoising and interpolation of multi-channel seismic data |
2023-10-17 14:49:19 |
| pyextremes |
2.3.2 |
Extreme Value Analysis (EVA) in Python |
2023-10-14 22:59:47 |
| engineering-notation |
0.10.0 |
Easy engineering notation |
2023-10-11 10:34:59 |
| toydl |
0.2.0 |
ToyDL: Deep Learning from Scratch |
2023-10-10 13:29:17 |
| txed |
0.0.0.2 |
Texas Earthquake Dataset for AI |
2023-09-18 01:19:59 |
| thermo |
0.2.27 |
Chemical properties component of Chemical Engineering Design Library (ChEDL) |
2023-09-17 22:18:08 |
| chemicals |
1.1.5 |
Chemical properties component of Chemical Engineering Design Library (ChEDL) |
2023-09-17 21:57:57 |
| fluids |
1.0.25 |
Fluid dynamics component of Chemical Engineering Design Library (ChEDL) |
2023-09-17 21:33:08 |
| pychrysalide |
2054 |
Reverse Engineering Factory |
2023-09-14 07:25:09 |
| hydrogen-pfhx |
0.1.10 |
Chemical engineering model of hydrogen plate-fin heat exchanger |
2023-09-12 01:34:18 |
| paramaterial |
0.1.3 |
Software toolkit for parameterising materials test data. Easily batch process experimental measurements to determine mechanical properties and material model parameters. |
2023-09-02 12:56:37 |
| pypef |
0.3.2 |
A command-line interface (CLI) tool for performing data-driven protein engineering by building machine learning (ML)-trained regression models from sequence variant fitness data (in CSV format) based on different techniques for protein sequence encoding. Next to building pure ML models, 'hybrid modeling' is also possible using a blended model optimized for predictive contributions of a statistical and an ML-based prediction. |
2023-08-17 06:38:23 |