| Name | Version | Summary | date |
| rojak-cat |
0.1.1 |
rojak a package with a blend of features -- from turbulence diagnostics to aeroelasticity |
2025-07-21 13:47:03 |
| mettoolbox |
7.0.1 |
mettoolbox is set of command line and Python tools for the analysis and reporting of meteorological data. |
2025-07-20 20:45:45 |
| python-CIMIS |
1.3.5 |
A comprehensive Python client for the California Irrigation Management Information System (CIMIS) API |
2025-07-20 17:31:26 |
| pyhail |
3.3.0 |
Python hail retreivals |
2025-07-18 04:06:03 |
| goes2go |
2025.2.0 |
Retrieve GOES Satellite data from AWS. Also proves some RGB recipes. |
2025-02-11 05:01:37 |
| xdatasets |
0.3.7 |
Easy access to Earth observation datasets with xarray. |
2025-02-10 20:41:57 |
| py-flux-tracer |
0.2.0 |
This package provides methods for analyzing atmospheric observation data, primarily eddy covariance methods. |
2025-02-06 23:56:55 |
| epygram |
2.0.2 |
EPyGrAM : Enhanced Python for Graphics and Analysis of Meteorological fields |
2025-01-17 16:23:22 |
| iris-grib |
0.21.0 |
Functionality for converting between weather/climate datasets stored as GRIB files and SciTools-Iris Cubes |
2025-01-07 17:16:14 |
| lb-toolkits |
2.1.2 |
lb_toolkits Library for Meteorology and Remote Sensing |
2024-12-30 05:27:46 |
| wam2layers |
3.2.0 |
Atmospheric moisture tracking model |
2024-12-20 15:08:24 |
| omu-eddy-covariance |
0.4.0 |
This package provides methods for analyzing atmospheric observation data, primarily eddy covariance methods. |
2024-12-06 04:05:30 |
| skypulse |
1.1.0 |
Modern Python weather data retrieval library with async support and AI analysis |
2024-11-19 05:10:51 |
| cyclophaser |
1.9.4 |
Determine phases from extratropical cyclone life cycle |
2024-11-08 21:09:17 |
| cf-units |
3.3.0 |
Units of measure as required by the Climate and Forecast (CF) metadata conventions |
2024-10-31 17:24:18 |
| ValEnsPy |
0.2.0a0 |
A Python package to validate gridded model data. |
2024-10-31 08:35:29 |
| goes-dl |
0.1rc2 |
Satellite imagery downloader for GOES and GridSat datasets |
2024-10-29 15:10:51 |
| atmolib |
0.1.1 |
Versatile weather package for effortless meteorology data extraction. |
2024-10-28 16:03:01 |
| iris-sample-data |
2.5.1 |
Iris sample data |
2024-10-22 17:18:55 |
| frontpy |
0.1.14 |
FrontPy is a Python package designed for the detection and analysis of atmospheric fronts. It uses the Thermal Front Parameter (TFP) method to identify cold and warm fronts. The package also includes visualization capabilities, allowing users to plot the identified fronts over GOES-16 satellite imagery. |
2024-10-17 18:08:12 |